From 89841c145226a57b1b86c2d574497d6dce86b65b Mon Sep 17 00:00:00 2001 From: Aaron Trowbridge Date: Mon, 10 Mar 2025 14:47:34 -0400 Subject: [PATCH 01/30] interface changes --- Project.toml | 5 +- docs/Project.toml | 2 +- docs/literate/man/problem_templates.jl | 2 +- src/QuantumCollocation.jl | 11 +- src/piccolo_options.jl | 55 ++++++++ src/problem_templates/_problem_templates.jl | 13 +- .../density_operator_smooth_pulse_problem.jl | 2 +- .../quantum_state_minimum_time_problem.jl | 10 +- .../quantum_state_sampling_problem.jl | 2 +- .../quantum_state_smooth_pulse_problem.jl | 123 +++++++++--------- .../unitary_bang_bang_problem.jl | 5 +- .../unitary_direct_sum_problem.jl | 10 +- .../unitary_minimum_time_problem.jl | 30 ++--- .../unitary_robustness_problem.jl | 14 +- .../unitary_sampling_problem.jl | 52 +++----- .../unitary_smooth_pulse_problem.jl | 122 +++++++---------- src/quantum_integrators.jl | 42 ++++++ src/quantum_objectives.jl | 109 ++++++++++++++++ 18 files changed, 391 insertions(+), 218 deletions(-) create mode 100644 src/piccolo_options.jl create mode 100644 src/quantum_integrators.jl create mode 100644 src/quantum_objectives.jl diff --git a/Project.toml b/Project.toml index 23d88e1d..d642802f 100644 --- a/Project.toml +++ b/Project.toml @@ -4,6 +4,7 @@ authors = ["Aaron Trowbridge and contributors"] version = "0.6.0" [deps] +DirectTrajOpt = "82ab4c96-bdfe-4573-b0a2-347b6440cc7b" Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f" ExponentialAction = "e24c0720-ea99-47e8-929e-571b494574d3" Interpolations = "a98d9a8b-a2ab-59e6-89dd-64a1c18fca59" @@ -12,7 +13,6 @@ Libdl = "8f399da3-3557-5675-b5ff-fb832c97cbdb" LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e" NamedTrajectories = "538bc3a1-5ab9-4fc3-b776-35ca1e893e08" PiccoloQuantumObjects = "5a402ddf-f93c-42eb-975e-5582dcda653d" -QuantumCollocationCore = "2b384925-53cb-4042-a8d2-6faa627467e1" Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c" Reexport = "189a3867-3050-52da-a836-e630ba90ab69" SparseArrays = "2f01184e-e22b-5df5-ae63-d93ebab69eaf" @@ -26,9 +26,8 @@ ExponentialAction = "0.2" Interpolations = "0.15" JLD2 = "0.5" LinearAlgebra = "1.10, 1.11" -NamedTrajectories = "0.2" +NamedTrajectories = "0.3" PiccoloQuantumObjects = "0.3" -QuantumCollocationCore = "0.3" Random = "1.10, 1.11" Reexport = "1.2" SparseArrays = "1.10, 1.11" diff --git a/docs/Project.toml b/docs/Project.toml index 7e07b254..b59a8c0d 100644 --- a/docs/Project.toml +++ b/docs/Project.toml @@ -4,7 +4,7 @@ Literate = "98b081ad-f1c9-55d3-8b20-4c87d4299306" LiveServer = "16fef848-5104-11e9-1b77-fb7a48bbb589" NamedTrajectories = "538bc3a1-5ab9-4fc3-b776-35ca1e893e08" QuantumCollocation = "0dc23a59-5ffb-49af-b6bd-932a8ae77adf" -QuantumCollocationCore = "2b384925-53cb-4042-a8d2-6faa627467e1" +DirectTrajOpt = "2b384925-53cb-4042-a8d2-6faa627467e1" Revise = "295af30f-e4ad-537b-8983-00126c2a3abe" [compat] diff --git a/docs/literate/man/problem_templates.jl b/docs/literate/man/problem_templates.jl index a5d12f9d..92f856cb 100644 --- a/docs/literate/man/problem_templates.jl +++ b/docs/literate/man/problem_templates.jl @@ -4,7 +4,7 @@ # # Problem Templates -# We provide a number of problem templates for making it simple and easy to set up and solve certain types of quantum optimal control problems. These templates all construct a `QuantumControlProblem` object. The problem templates are: +# We provide a number of problem templates for making it simple and easy to set up and solve certain types of quantum optimal control problems. These templates all construct a `DirectTrajOptProblem` object. The problem templates are: # ## Unitary Smooth Pulse Problem diff --git a/src/QuantumCollocation.jl b/src/QuantumCollocation.jl index 82168459..6c408d94 100644 --- a/src/QuantumCollocation.jl +++ b/src/QuantumCollocation.jl @@ -2,15 +2,24 @@ module QuantumCollocation using Reexport -@reexport using QuantumCollocationCore +@reexport using DirectTrajOpt @reexport using PiccoloQuantumObjects +include("piccolo_options.jl") +@reexport using .Options + include("trajectory_initialization.jl") @reexport using .TrajectoryInitialization include("trajectory_interpolations.jl") @reexport using .TrajectoryInterpolations +include("quantum_objectives.jl") +@reexport using .QuantumObjectives + +include("quantum_integrators.jl") +@reexport using .QuantumIntegrators + include("problem_templates/_problem_templates.jl") @reexport using .ProblemTemplates diff --git a/src/piccolo_options.jl b/src/piccolo_options.jl new file mode 100644 index 00000000..e0d20611 --- /dev/null +++ b/src/piccolo_options.jl @@ -0,0 +1,55 @@ +module Options + +export PiccoloOptions + +using ExponentialAction + +""" + PiccoloOptions + +Options for the Piccolo quantum optimal control library. + +# Fields +- `verbose::Bool = true`: Print verbose output +- `verbose_evaluator::Bool = false`: Print verbose output from the evaluator +- `free_time::Bool = true`: Allow free time optimization +- `timesteps_all_equal::Bool = true`: Use equal timesteps +- `integrator::Symbol = :pade`: Integrator to use +- `pade_order::Int = 4`: Order of the Pade approximation +- `rollout_integrator::Function = expv`: Integrator to use for rollout +- `eval_hessian::Bool = false`: Evaluate the Hessian +- `geodesic = true`: Use the geodesic to initialize the optimization. +- `blas_multithreading::Bool = true`: Use BLAS multithreading. +- `build_trajectory_constraints::Bool = true`: Build trajectory constraints. +- `complex_control_norm_constraint_name::Union{Nothing, Symbol} = nothing`: Name of the complex control norm constraint. +- `complex_control_norm_constraint_radius::Float64 = 1.0`: Radius of the complex control norm constraint. +- `bound_state::Bool = false`: Bound the state. +- `leakage_suppression::Bool = false`: Suppress leakage. +- `R_leakage::Float64 = 1.0`: Leakage suppression parameter. +- `free_phase_infidelity::Bool = false`: Free phase infidelity. +- `phase_operators::Union{Nothing, AbstractVector{<:AbstractMatrix{<:Complex}}} = nothing`: Phase operators. +- `phase_name::Symbol = :ϕ`: Name of the phase. +""" +@kwdef mutable struct PiccoloOptions + verbose::Bool = true + verbose_evaluator::Bool = false + free_time::Bool = true + timesteps_all_equal::Bool = true + integrator::Symbol = :pade + pade_order::Int = 4 + rollout_integrator::Function = expv + eval_hessian::Bool = false + geodesic = true + blas_multithreading::Bool = true + build_trajectory_constraints::Bool = true + complex_control_norm_constraint_name::Union{Nothing, Symbol} = nothing + complex_control_norm_constraint_radius::Float64 = 1.0 + bound_state::Bool = integrator == :exponential + leakage_suppression::Bool = false + R_leakage::Float64 = 1.0 + free_phase_infidelity::Bool = false + phase_operators::Union{Nothing, AbstractVector{<:AbstractMatrix{<:Complex}}} = nothing + phase_name::Symbol = :ϕ +end + +end \ No newline at end of file diff --git a/src/problem_templates/_problem_templates.jl b/src/problem_templates/_problem_templates.jl index 9beda1e5..0d182f6b 100644 --- a/src/problem_templates/_problem_templates.jl +++ b/src/problem_templates/_problem_templates.jl @@ -3,12 +3,14 @@ module ProblemTemplates using ..DirectSums using ..Rollouts using ..TrajectoryInitialization -using ..Losses +using ..QuantumObjectives +using ..QuantumIntegrators +using ..Options using Distributions using TrajectoryIndexingUtils using NamedTrajectories -using QuantumCollocationCore +using DirectTrajOpt using PiccoloQuantumObjects using LinearAlgebra using SparseArrays @@ -58,16 +60,17 @@ function apply_piccolo_options!( if piccolo_options.timesteps_all_equal push!( constraints, - TimeStepsAllEqualConstraint(timestep_name, traj) + TimeStepsAllEqualConstraint(traj) ) end end if !isnothing(piccolo_options.complex_control_norm_constraint_name) - norm_con = ComplexModulusContraint( + norm_con = NonlinearKnotPointConstraint( + a -> -[norm(a)^2 - piccolo_options.complex_control_norm_constraint_radius^2], piccolo_options.complex_control_norm_constraint_name, - piccolo_options.complex_control_norm_constraint_radius, traj; + equality=false, ) push!(constraints, norm_con) end diff --git a/src/problem_templates/density_operator_smooth_pulse_problem.jl b/src/problem_templates/density_operator_smooth_pulse_problem.jl index 90be0f05..1fd1f8aa 100644 --- a/src/problem_templates/density_operator_smooth_pulse_problem.jl +++ b/src/problem_templates/density_operator_smooth_pulse_problem.jl @@ -111,7 +111,7 @@ function DensityOperatorSmoothPulseProblem( DerivativeIntegrator(:da, :dda, traj), ] - return QuantumControlProblem( + return DirectTrajOptProblem( traj, J, integrators; diff --git a/src/problem_templates/quantum_state_minimum_time_problem.jl b/src/problem_templates/quantum_state_minimum_time_problem.jl index e3f74ff1..846e209d 100644 --- a/src/problem_templates/quantum_state_minimum_time_problem.jl +++ b/src/problem_templates/quantum_state_minimum_time_problem.jl @@ -5,7 +5,7 @@ export QuantumStateMinimumTimeProblem QuantumStateMinimumTimeProblem(traj, sys, obj, integrators, constraints; kwargs...) QuantumStateMinimumTimeProblem(prob; kwargs...) -Construct a `QuantumControlProblem` for the minimum time problem of reaching a target state. +Construct a `DirectTrajOptProblem` for the minimum time problem of reaching a target state. # Arguments - `traj::NamedTrajectory`: The initial trajectory. @@ -14,7 +14,7 @@ Construct a `QuantumControlProblem` for the minimum time problem of reaching a t - `integrators::Vector{<:AbstractIntegrator}`: The integrators. - `constraints::Vector{<:AbstractConstraint}`: The constraints. or -- `prob::QuantumControlProblem`: The quantum control problem. +- `prob::DirectTrajOptProblem`: The quantum control problem. # Keyword Arguments - `state_name::Symbol=:ψ̃`: The symbol for the state variables. @@ -22,7 +22,7 @@ or - `D=1.0`: The cost weight on the time. - `ipopt_options::IpoptOptions=IpoptOptions()`: The Ipopt options. - `piccolo_options::PiccoloOptions=PiccoloOptions()`: The Piccolo options. -- `kwargs...`: Additional keyword arguments, passed to `QuantumControlProblem`. +- `kwargs...`: Additional keyword arguments, passed to `DirectTrajOptProblem`. """ function QuantumStateMinimumTimeProblem end @@ -62,7 +62,7 @@ function QuantumStateMinimumTimeProblem( push!(constraints, fidelity_constraint) end - return QuantumControlProblem( + return DirectTrajOptProblem( traj, obj, integrators; @@ -75,7 +75,7 @@ function QuantumStateMinimumTimeProblem( end function QuantumStateMinimumTimeProblem( - prob::QuantumControlProblem; + prob::DirectTrajOptProblem; obj::Objective=get_objective(prob), constraints::AbstractVector{<:AbstractConstraint}=get_constraints(prob), ipopt_options::IpoptOptions=deepcopy(prob.ipopt_options), diff --git a/src/problem_templates/quantum_state_sampling_problem.jl b/src/problem_templates/quantum_state_sampling_problem.jl index 62e7f3f7..edde32a8 100644 --- a/src/problem_templates/quantum_state_sampling_problem.jl +++ b/src/problem_templates/quantum_state_sampling_problem.jl @@ -121,7 +121,7 @@ function QuantumStateSamplingProblem( DerivativeIntegrator(control_names[2], control_names[3], traj), ] - return QuantumControlProblem( + return DirectTrajOptProblem( traj, J, integrators; diff --git a/src/problem_templates/quantum_state_smooth_pulse_problem.jl b/src/problem_templates/quantum_state_smooth_pulse_problem.jl index 836014f3..d591e01d 100644 --- a/src/problem_templates/quantum_state_smooth_pulse_problem.jl +++ b/src/problem_templates/quantum_state_smooth_pulse_problem.jl @@ -125,12 +125,12 @@ function QuantumStateSmoothPulseProblem( ] # Objective - J = QuadraticRegularizer(control_names[1], traj, R_a; timestep_name=timestep_name) - J += QuadraticRegularizer(control_names[2], traj, R_da; timestep_name=timestep_name) - J += QuadraticRegularizer(control_names[3], traj, R_dda; timestep_name=timestep_name) + J = QuadraticRegularizer(control_names[1], traj, R_a) + J += QuadraticRegularizer(control_names[2], traj, R_da) + J += QuadraticRegularizer(control_names[3], traj, R_dda) for name ∈ state_names - J += QuantumStateObjective(name, traj, Q) + J += KetInfidelityLoss(name, traj; Q=Q) end # Optional Piccolo constraints and objectives @@ -139,71 +139,78 @@ function QuantumStateSmoothPulseProblem( state_leakage_indices=leakage_indices ) - # Integrators + # # Integrators + # state_integrators = [] + # if length(ψ_inits) == 1 + # if piccolo_options.integrator == :pade + # state_integrators = [QuantumStatePadeIntegrator( + # state_name, + # control_name, + # sys, + # traj; + # order=piccolo_options.pade_order + # )] + # elseif piccolo_options.integrator == :exponential + # state_integrators = [QuantumStateExponentialIntegrator( + # state_name, + # control_name, + # sys, + # traj + # )] + # else + # error("integrator must be one of (:pade, :exponential)") + # end + # else + # state_names = [ + # name for name ∈ traj.names + # if startswith(string(name), string(state_name)) + # ] + # state_integrators = [] + # for i = 1:length(ψ_inits) + # if piccolo_options.integrator == :pade + # state_integrator = QuantumStatePadeIntegrator( + # state_names[i], + # control_name, + # sys, + # traj; + # order=piccolo_options.pade_order + # ) + # elseif piccolo_options.integrator == :exponential + # state_integrator = QuantumStateExponentialIntegrator( + # state_names[i], + # control_name, + # sys, + # traj + # ) + # else + # error("integrator must be one of (:pade, :exponential)") + # end + # push!(state_integrators, state_integrator) + # end + # end + + state_names = [ + name for name ∈ traj.names + if startswith(string(name), string(state_name)) + ] + state_integrators = [] - if length(ψ_inits) == 1 - if piccolo_options.integrator == :pade - state_integrators = [QuantumStatePadeIntegrator( - state_name, - control_name, - sys, - traj; - order=piccolo_options.pade_order - )] - elseif piccolo_options.integrator == :exponential - state_integrators = [QuantumStateExponentialIntegrator( - state_name, - control_name, - sys, - traj - )] - else - error("integrator must be one of (:pade, :exponential)") - end - else - state_names = [ - name for name ∈ traj.names - if startswith(string(name), string(state_name)) - ] - state_integrators = [] - for i = 1:length(ψ_inits) - if piccolo_options.integrator == :pade - state_integrator = QuantumStatePadeIntegrator( - state_names[i], - control_name, - sys, - traj; - order=piccolo_options.pade_order - ) - elseif piccolo_options.integrator == :exponential - state_integrator = QuantumStateExponentialIntegrator( - state_names[i], - control_name, - sys, - traj - ) - else - error("integrator must be one of (:pade, :exponential)") - end - push!(state_integrators, state_integrator) - end + + for name ∈ state_names + push!(state_integrators, KetIntegrator(sys, traj, name, control_name)) end integrators = [ state_integrators..., - DerivativeIntegrator(control_name, control_names[2], traj), - DerivativeIntegrator(control_names[2], control_names[3], traj) + DerivativeIntegrator(traj, control_name, control_names[2]), + DerivativeIntegrator(traj, control_names[2], control_names[3]) ] - return QuantumControlProblem( + return DirectTrajOptProblem( traj, J, integrators; constraints=constraints, - ipopt_options=ipopt_options, - piccolo_options=piccolo_options, - control_name=control_name, - kwargs... ) end diff --git a/src/problem_templates/unitary_bang_bang_problem.jl b/src/problem_templates/unitary_bang_bang_problem.jl index 9669180f..b1533af2 100644 --- a/src/problem_templates/unitary_bang_bang_problem.jl +++ b/src/problem_templates/unitary_bang_bang_problem.jl @@ -5,7 +5,7 @@ export UnitaryBangBangProblem UnitaryBangBangProblem(system::QuantumSystem, operator, T, Δt; kwargs...) UnitaryBangBangProblem(H_drift, H_drives, operator, T, Δt; kwargs...) -Construct a `QuantumControlProblem` for a free-time unitary gate problem with bang-bang control pulses. +Construct a `DirectTrajOptProblem` for a free-time unitary gate problem with bang-bang control pulses. ```math \begin{aligned} @@ -72,7 +72,6 @@ function UnitaryBangBangProblem( operator::AbstractPiccoloOperator, T::Int, Δt::Union{Float64, Vector{Float64}}; - ipopt_options::IpoptOptions=IpoptOptions(), piccolo_options::PiccoloOptions=PiccoloOptions(), state_name::Symbol = :Ũ⃗, control_name::Symbol = :a, @@ -174,7 +173,7 @@ function UnitaryBangBangProblem( DerivativeIntegrator(control_names[1], control_names[2], traj), ] - return QuantumControlProblem( + return DirectTrajOptProblem( traj, J, integrators; diff --git a/src/problem_templates/unitary_direct_sum_problem.jl b/src/problem_templates/unitary_direct_sum_problem.jl index 1bf5b7bb..9b711be5 100644 --- a/src/problem_templates/unitary_direct_sum_problem.jl +++ b/src/problem_templates/unitary_direct_sum_problem.jl @@ -4,7 +4,7 @@ export UnitaryDirectSumProblem @doc """ UnitaryDirectSumProblem(probs, final_fidelity; kwargs...) -Construct a `QuantumControlProblem` as a direct sum of unitary gate problems. The +Construct a `DirectTrajOptProblem` as a direct sum of unitary gate problems. The purpose is to find solutions that are as close as possible with respect to one of their components. In particular, this is useful for finding interpolatable control solutions. @@ -20,7 +20,7 @@ The default behavior is to use a 1D chain for the graph, i.e., enforce a `Pairwi between each neighbor of the provided `probs`. # Arguments -- `probs::AbstractVector{<:QuantumControlProblem}`: the problems to combine +- `probs::AbstractVector{<:DirectTrajOptProblem}`: the problems to combine - `final_fidelity::Real`: the fidelity to enforce between the component final unitaries and the component goal unitaries # Keyword Arguments @@ -43,7 +43,7 @@ between each neighbor of the provided `probs`. """ function UnitaryDirectSumProblem( - probs::AbstractVector{<:QuantumControlProblem}, + probs::AbstractVector{<:DirectTrajOptProblem}, final_fidelity::Real; prob_labels::AbstractVector{<:String}=[string(i) for i ∈ 1:length(probs)], graph::Union{Nothing, AbstractVector{<:Tuple{String, String}}, AbstractVector{<:Tuple{Symbol, Symbol}}}=nothing, @@ -168,7 +168,7 @@ function UnitaryDirectSumProblem( end end - return QuantumControlProblem( + return DirectTrajOptProblem( traj, J, integrators; @@ -184,7 +184,7 @@ end # *************************************************************************** # @testitem "Construct direct sum problem" begin - using QuantumCollocationCore + using DirectTrajOpt using PiccoloQuantumObjects sys = QuantumSystem(0.01 * GATES[:Z], [GATES[:X], GATES[:Y]]) U_goal1 = GATES[:X] diff --git a/src/problem_templates/unitary_minimum_time_problem.jl b/src/problem_templates/unitary_minimum_time_problem.jl index bcebdf22..de138d6f 100644 --- a/src/problem_templates/unitary_minimum_time_problem.jl +++ b/src/problem_templates/unitary_minimum_time_problem.jl @@ -12,7 +12,7 @@ export UnitaryMinimumTimeProblem ) UnitaryMinimumTimeProblem( - prob::QuantumControlProblem; + prob::DirectTrajOptProblem; kwargs... ) @@ -41,7 +41,7 @@ J(\vec{\tilde{U}}, a, \dot{a}, \ddot{a}) + D \sum_t \Delta t_t \\ - `D=1.0`: The weight for the minimum-time objective. - `ipopt_options::IpoptOptions=IpoptOptions()`: The options for the Ipopt solver. - `piccolo_options::PiccoloOptions=PiccoloOptions()`: The options for the Piccolo solver. -- `kwargs...`: Additional keyword arguments to pass to `QuantumControlProblem`. +- `kwargs...`: Additional keyword arguments to pass to `DirectTrajOptProblem`. """ function UnitaryMinimumTimeProblem end @@ -55,17 +55,15 @@ function UnitaryMinimumTimeProblem( control_name::Symbol=:a, final_fidelity::Union{Real, Nothing}=nothing, D=1.0, - ipopt_options::IpoptOptions=IpoptOptions(), piccolo_options::PiccoloOptions=PiccoloOptions(), phase_name::Symbol=:ϕ, phase_operators::Union{AbstractVector{<:AbstractMatrix}, Nothing}=nothing, subspace=nothing, - kwargs... ) @assert unitary_name ∈ trajectory.names objective += MinimumTimeObjective( - trajectory; D=D, eval_hessian=piccolo_options.eval_hessian + trajectory; D=D, timesteps_all_equal=piccolo_options.timesteps_all_equal ) U_T = trajectory[unitary_name][:, end] @@ -99,22 +97,18 @@ function UnitaryMinimumTimeProblem( constraints = push!(constraints, fidelity_constraint) - return QuantumControlProblem( + return DirectTrajOptProblem( trajectory, objective, integrators; constraints=constraints, - ipopt_options=ipopt_options, - piccolo_options=piccolo_options, - control_name=control_name, - kwargs... ) end function UnitaryMinimumTimeProblem( - prob::QuantumControlProblem, + prob::DirectTrajOptProblem, sys::AbstractQuantumSystem; - objective::Objective=get_objective(prob), + objective::Objective=prob.objective, constraints::AbstractVector{<:AbstractConstraint}=get_constraints(prob), ipopt_options::IpoptOptions=deepcopy(prob.ipopt_options), piccolo_options::PiccoloOptions=deepcopy(prob.piccolo_options), @@ -129,7 +123,6 @@ function UnitaryMinimumTimeProblem( objective, prob.integrators, constraints; - ipopt_options=ipopt_options, piccolo_options=piccolo_options, kwargs... ) @@ -150,19 +143,20 @@ end prob = UnitarySmoothPulseProblem( sys, U_goal, T, Δt, - ipopt_options=IpoptOptions(print_level=1), piccolo_options=PiccoloOptions(verbose=false) ) + ipopt_options=IpoptOptions() + before = unitary_rollout_fidelity(prob.trajectory, sys) - solve!(prob, max_iter=50) + solve!(prob, max_iter=100, options=ipopt_options) after = unitary_rollout_fidelity(prob.trajectory, sys) @test after > before # Soft fidelity constraint final_fidelity = minimum([0.99, after]) mintime_prob = UnitaryMinimumTimeProblem(prob, sys, final_fidelity=final_fidelity) - solve!(mintime_prob; max_iter=100) + solve!(mintime_prob; max_iter=100, options=ipopt_options) # Test fidelity is approximatley staying above the constraint @test unitary_rollout_fidelity(mintime_prob.trajectory, sys) ≥ (final_fidelity - 0.1 * final_fidelity) @@ -171,7 +165,7 @@ end @test duration_after < duration_before # Set up without a final fidelity - @test UnitaryMinimumTimeProblem(prob, sys) isa QuantumControlProblem + @test UnitaryMinimumTimeProblem(prob, sys) isa DirectTrajOptProblem end @@ -207,5 +201,5 @@ end sys; final_fidelity=final_fidelity, phase_operators=phase_operators - ) isa QuantumControlProblem + ) isa DirectTrajOptProblem end diff --git a/src/problem_templates/unitary_robustness_problem.jl b/src/problem_templates/unitary_robustness_problem.jl index 4baea9c1..c533d975 100644 --- a/src/problem_templates/unitary_robustness_problem.jl +++ b/src/problem_templates/unitary_robustness_problem.jl @@ -12,7 +12,7 @@ export UnitaryRobustnessProblem kwargs... ) - UnitaryRobustnessProblem(Hₑ, prob::QuantumControlProblem; kwargs...) + UnitaryRobustnessProblem(Hₑ, prob::DirectTrajOptProblem; kwargs...) Create a quantum control problem for robustness optimization of a unitary trajectory. @@ -21,7 +21,7 @@ Create a quantum control problem for robustness optimization of a unitary trajec - `final_fidelity::Union{Real, Nothing}=nothing`: The target fidelity for the final unitary. - `ipopt_options::IpoptOptions=IpoptOptions()`: Options for the Ipopt solver. - `piccolo_options::PiccoloOptions=PiccoloOptions()`: Options for the Piccolo solver. -- `kwargs...`: Additional keyword arguments passed to `QuantumControlProblem`. +- `kwargs...`: Additional keyword arguments passed to `DirectTrajOptProblem`. """ function UnitaryRobustnessProblem end @@ -86,7 +86,7 @@ function UnitaryRobustnessProblem( push!(constraints, fidelity_constraint) - return QuantumControlProblem( + return DirectTrajOptProblem( trajectory, objective, integrators; @@ -100,7 +100,7 @@ end function UnitaryRobustnessProblem( H_error::AbstractPiccoloOperator, - prob::QuantumControlProblem, + prob::DirectTrajOptProblem, sys::AbstractQuantumSystem; objective::Objective=get_objective(prob), constraints::AbstractVector{<:AbstractConstraint}=get_constraints(prob), @@ -154,7 +154,7 @@ end # set up without a final fidelity # ------------------------------- - @test UnitaryRobustnessProblem(H_embed, prob, sys) isa QuantumControlProblem + @test UnitaryRobustnessProblem(H_embed, prob, sys) isa DirectTrajOptProblem # test robustness from previous problem @@ -218,7 +218,7 @@ end system, phase_operators=phase_operators, subspace=U_goal.subspace, - ) isa QuantumControlProblem + ) isa DirectTrajOptProblem end @testitem "Set up a free phase problem" begin @@ -260,5 +260,5 @@ end system; phase_operators=phase_operators, subspace=U_goal.subspace, - ) isa QuantumControlProblem + ) isa DirectTrajOptProblem end diff --git a/src/problem_templates/unitary_sampling_problem.jl b/src/problem_templates/unitary_sampling_problem.jl index d6e41ae9..2c72276a 100644 --- a/src/problem_templates/unitary_sampling_problem.jl +++ b/src/problem_templates/unitary_sampling_problem.jl @@ -113,15 +113,12 @@ function UnitarySamplingProblem( ] # Objective - J = QuadraticRegularizer(control_name, traj, R_a; timestep_name=timestep_name) - J += QuadraticRegularizer(control_names[2], traj, R_da; timestep_name=timestep_name) - J += QuadraticRegularizer(control_names[3], traj, R_dda; timestep_name=timestep_name) + J = QuadraticRegularizer(control_name, traj, R_a) + J += QuadraticRegularizer(control_names[2], traj, R_da) + J += QuadraticRegularizer(control_names[3], traj, R_dda) for (weight, op, name) in zip(system_weights, operators, state_names) - J += weight * UnitaryInfidelityObjective( - name, traj, Q; - subspace=op isa EmbeddedOperator ? op.subspace_indices : nothing - ) + J += UnitaryInfidelityLoss(op, name, traj; Q=weight * Q) end # Optional Piccolo constraints and objectives @@ -133,36 +130,23 @@ function UnitarySamplingProblem( # Integrators unitary_integrators = AbstractIntegrator[] for (sys, Ũ⃗_name) in zip(systems, state_names) - if piccolo_options.integrator == :pade - push!( - unitary_integrators, - UnitaryPadeIntegrator(Ũ⃗_name, control_name, sys, traj; order=piccolo_options.pade_order) - ) - elseif piccolo_options.integrator == :exponential - push!( - unitary_integrators, - UnitaryExponentialIntegrator(Ũ⃗_name, control_name, sys, traj) - ) - else - error("integrator must be one of (:pade, :exponential)") - end + push!( + unitary_integrators, + UnitaryIntegrator(sys, traj, Ũ⃗_name, control_name) + ) end integrators = [ unitary_integrators..., - DerivativeIntegrator(control_name, control_names[2], traj), - DerivativeIntegrator(control_names[2], control_names[3], traj), + DerivativeIntegrator(traj, control_name, control_names[2]), + DerivativeIntegrator(traj, control_names[2], control_names[3]), ] - return QuantumControlProblem( + return DirectTrajOptProblem( traj, J, integrators; constraints=constraints, - ipopt_options=ipopt_options, - piccolo_options=piccolo_options, - control_name=control_name, - kwargs... ) end @@ -213,20 +197,20 @@ end operator = GATES[:H] systems(ζ) = QuantumSystem(ζ * GATES[:Z], [GATES[:X], GATES[:Y]]) - ip_ops = IpoptOptions(print_level=1, recalc_y="yes", recalc_y_feas_tol=1e1) + ip_ops = IpoptOptions(print_level=1, recalc_y="yes", recalc_y_feas_tol=1e1, eval_hessian=false) pi_ops = PiccoloOptions(verbose=false) prob = UnitarySamplingProblem( systems, Normal(0, 0.05), n_samples, operator, T, Δt, - ipopt_options=ip_ops, piccolo_options=pi_ops + piccolo_options=pi_ops ) - solve!(prob, max_iter=20) + solve!(prob, max_iter=20, options=ip_ops) d_prob = UnitarySmoothPulseProblem( systems(0), operator, T, Δt, - ipopt_options=ip_ops, piccolo_options=pi_ops + piccolo_options=pi_ops ) - solve!(prob, max_iter=20) + solve!(d_prob, max_iter=20, options=ip_ops) # Check that the solution improves over the default # ------------------------------------------------- @@ -236,10 +220,10 @@ end default_fids = [] for ζ in ζ_tests Ũ⃗_end = unitary_rollout(prob.trajectory.a, timesteps, systems(ζ))[:, end] - push!(fids, iso_vec_unitary_fidelity(Ũ⃗_end, Ũ⃗_goal)) + push!(fids, unitary_fidelity(iso_vec_to_operator(Ũ⃗_end), iso_vec_to_operator(Ũ⃗_goal))) d_Ũ⃗_end = unitary_rollout(d_prob.trajectory.a, timesteps, systems(ζ))[:, end] - push!(default_fids, iso_vec_unitary_fidelity(d_Ũ⃗_end, Ũ⃗_goal)) + push!(default_fids, unitary_fidelity(iso_vec_to_operator(d_Ũ⃗_end), iso_vec_to_operator(Ũ⃗_goal))) end @test sum(fids) > sum(default_fids) diff --git a/src/problem_templates/unitary_smooth_pulse_problem.jl b/src/problem_templates/unitary_smooth_pulse_problem.jl index 4cee0579..3d966014 100644 --- a/src/problem_templates/unitary_smooth_pulse_problem.jl +++ b/src/problem_templates/unitary_smooth_pulse_problem.jl @@ -5,7 +5,7 @@ export UnitarySmoothPulseProblem UnitarySmoothPulseProblem(system::AbstractQuantumSystem, operator, T, Δt; kwargs...) UnitarySmoothPulseProblem(H_drift, H_drives, operator, T, Δt; kwargs...) -Construct a `QuantumControlProblem` for a free-time unitary gate problem with smooth control pulses enforced by constraining the second derivative of the pulse trajectory, i.e., +Construct a `DirectTrajOptProblem` for a free-time unitary gate problem with smooth control pulses enforced by constraining the second derivative of the pulse trajectory, i.e., ```math \begin{aligned} @@ -72,7 +72,7 @@ function UnitarySmoothPulseProblem( operator::AbstractPiccoloOperator, T::Int, Δt::Union{Float64, <:AbstractVector{Float64}}; - ipopt_options::IpoptOptions=IpoptOptions(), + unitary_integrator=UnitaryIntegrator, piccolo_options::PiccoloOptions=PiccoloOptions(), state_name::Symbol = :Ũ⃗, control_name::Symbol = :a, @@ -98,6 +98,7 @@ function UnitarySmoothPulseProblem( constraints::Vector{<:AbstractConstraint}=AbstractConstraint[], kwargs... ) + println(typeof(unitary_integrator)) # Trajectory if !isnothing(init_trajectory) @@ -125,32 +126,17 @@ function UnitarySmoothPulseProblem( ) end - # Subspace - subspace = operator isa EmbeddedOperator ? operator.subspace : nothing - # Objective - if isnothing(phase_operators) - J = UnitaryInfidelityObjective( - state_name, traj, Q; - subspace=subspace, - eval_hessian=piccolo_options.eval_hessian, - ) - else - J = UnitaryFreePhaseInfidelityObjective( - state_name, phase_name, phase_operators, traj, Q; - subspace=subspace, - eval_hessian=piccolo_options.eval_hessian, - ) - end + J = UnitaryInfidelityLoss(operator, state_name, traj; Q=Q) control_names = [ name for name ∈ traj.names if endswith(string(name), string(control_name)) ] - J += QuadraticRegularizer(control_names[1], traj, R_a; timestep_name=timestep_name) - J += QuadraticRegularizer(control_names[2], traj, R_da; timestep_name=timestep_name) - J += QuadraticRegularizer(control_names[3], traj, R_dda; timestep_name=timestep_name) + J += QuadraticRegularizer(control_names[1], traj, R_a) + J += QuadraticRegularizer(control_names[2], traj, R_da) + J += QuadraticRegularizer(control_names[3], traj, R_dda) # Optional Piccolo constraints and objectives apply_piccolo_options!( @@ -158,35 +144,17 @@ function UnitarySmoothPulseProblem( state_leakage_indices=operator isa EmbeddedOperator ? get_leakage_indices(operator) : nothing ) - # Integrators - - if piccolo_options.integrator == :pade - unitary_integrator = - UnitaryPadeIntegrator(state_name, control_name, system, traj; - order=piccolo_options.pade_order - ) - elseif piccolo_options.integrator == :exponential - unitary_integrator = - UnitaryExponentialIntegrator(state_name, control_name, system, traj) - else - error("integrator must be one of (:pade, :exponential)") - end - integrators = [ - unitary_integrator, - DerivativeIntegrator(control_name, control_names[2], traj), - DerivativeIntegrator(control_names[2], control_names[3], traj), + unitary_integrator(system, traj, state_name, control_name), + DerivativeIntegrator(traj, control_name, control_names[2]), + DerivativeIntegrator(traj, control_names[2], control_names[3]), ] - return QuantumControlProblem( + return DirectTrajOptProblem( traj, J, integrators; - constraints=constraints, - ipopt_options=ipopt_options, - piccolo_options=piccolo_options, - control_name=control_name, - kwargs... + constraints=constraints ) end @@ -211,12 +179,14 @@ end prob = UnitarySmoothPulseProblem( sys, U_goal, T, Δt; da_bound=1.0, - ipopt_options=IpoptOptions(print_level=1), piccolo_options=PiccoloOptions(verbose=false) ) + + ipopt_options=IpoptOptions(print_level=1) + initial = unitary_rollout_fidelity(prob.trajectory, sys) - solve!(prob, max_iter=20) + solve!(prob, max_iter=100, options=ipopt_options) final = unitary_rollout_fidelity(prob.trajectory, sys) @test final > initial end @@ -229,12 +199,13 @@ end prob = UnitarySmoothPulseProblem( sys, U_goal, T, Δt, - ipopt_options=IpoptOptions(print_level=1), piccolo_options=PiccoloOptions(verbose=false, integrator=:exponential) ) + ipopt_options=IpoptOptions(print_level=1) + initial = unitary_rollout_fidelity(prob.trajectory, sys) - solve!(prob, max_iter=20) + solve!(prob, max_iter=50, options=ipopt_options) final = unitary_rollout_fidelity(prob.trajectory, sys) @test final > initial end @@ -255,12 +226,13 @@ end prob = UnitarySmoothPulseProblem( sys, U_goal, T, Δt, - ipopt_options=IpoptOptions(print_level=1), piccolo_options=piccolo_options ) + ipopt_options=IpoptOptions(print_level=1) + initial = unitary_rollout_fidelity(prob.trajectory, sys) - solve!(prob, max_iter=20) + solve!(prob, max_iter=50, options=ipopt_options) final = unitary_rollout_fidelity(prob.trajectory, sys) @test final > initial end @@ -303,42 +275,42 @@ end ) initial = unitary_rollout_fidelity(prob.trajectory, sys, subspace=U_goal.subspace) - solve!(prob, max_iter=20) + solve!(prob, max_iter=50, options=IpoptOptions(print_level=1, eval_hessian=false)) final = unitary_rollout_fidelity(prob.trajectory, sys, subspace=U_goal.subspace) @test final > initial end -@testitem "Additional Objective" begin - H_drift = GATES[:Z] - H_drives = [GATES[:X], GATES[:Y]] - U_goal = GATES[:H] - T = 50 - Δt = 0.2 +# @testitem "Additional Objective" begin +# H_drift = GATES[:Z] +# H_drives = [GATES[:X], GATES[:Y]] +# U_goal = GATES[:H] +# T = 50 +# Δt = 0.2 - prob_vanilla = UnitarySmoothPulseProblem( - H_drift, H_drives, U_goal, T, Δt, - ipopt_options=IpoptOptions(print_level=1), - piccolo_options=PiccoloOptions(verbose=false), - ) +# prob_vanilla = UnitarySmoothPulseProblem( +# H_drift, H_drives, U_goal, T, Δt, +# ipopt_options=IpoptOptions(print_level=1), +# piccolo_options=PiccoloOptions(verbose=false), +# ) - J_extra = QuadraticSmoothnessRegularizer(:dda, prob_vanilla.trajectory, 10.0) +# J_additional = QuadraticRegularizer(:dda, prob_vanilla.trajectory, 10.0) - prob_additional = UnitarySmoothPulseProblem( - H_drift, H_drives, U_goal, T, Δt, - ipopt_options=IpoptOptions(print_level=1), - piccolo_options=PiccoloOptions(verbose=false), - additional_objective=J_extra, - ) +# prob_additional = UnitarySmoothPulseProblem( +# H_drift, H_drives, U_goal, T, Δt, +# ipopt_options=IpoptOptions(print_level=1), +# piccolo_options=PiccoloOptions(verbose=false), +# additional_objective=J_extra, +# ) - J_prob_vanilla = Problems.get_objective(prob_vanilla) +# J_prob_vanilla = Problems.get_objective(prob_vanilla) - J_additional = Problems.get_objective(prob_additional) +# J_additional = Problems.get_objective(prob_additional) - Z = prob_vanilla.trajectory - Z⃗ = vec(prob_vanilla.trajectory) +# Z = prob_vanilla.trajectory +# Z⃗ = vec(prob_vanilla.trajectory) - @test J_prob_vanilla.L(Z⃗, Z) + J_extra.L(Z⃗, Z) ≈ J_additional.L(Z⃗, Z) -end +# @test J_prob_vanilla.L(Z⃗, Z) + J_extra.L(Z⃗, Z) ≈ J_additional.L(Z⃗, Z) +# end @testitem "Free phase Y gate using X" begin using Random # Random.seed!(1234) diff --git a/src/quantum_integrators.jl b/src/quantum_integrators.jl new file mode 100644 index 00000000..4c8e144a --- /dev/null +++ b/src/quantum_integrators.jl @@ -0,0 +1,42 @@ +module QuantumIntegrators + +export KetIntegrator +export UnitaryIntegrator +export DensityMatrixIntegrator + +using LinearAlgebra +using NamedTrajectories +using DirectTrajOpt +using PiccoloQuantumObjects + +const ⊗ = kron + +function KetIntegrator( + sys::QuantumSystem, + traj::NamedTrajectory, + ψ̃::Symbol, + a::Symbol +) + return BilinearIntegrator(sys.G, traj, ψ̃, a) +end + +function UnitaryIntegrator( + sys::QuantumSystem, + traj::NamedTrajectory, + Ũ⃗::Symbol, + a::Symbol +) + Ĝ = a_ -> I(sys.levels) ⊗ sys.G(a_) + return BilinearIntegrator(Ĝ, traj, Ũ⃗, a) +end + +function DensityMatrixIntegrator( + sys::OpenQuantumSystem, + traj::NamedTrajectory, + ρ̃::Symbol, + a::Symbol +) + return BilinearIntegrator(sys.𝒢, traj, ρ̃, a) +end + +end \ No newline at end of file diff --git a/src/quantum_objectives.jl b/src/quantum_objectives.jl new file mode 100644 index 00000000..3b7a10c2 --- /dev/null +++ b/src/quantum_objectives.jl @@ -0,0 +1,109 @@ +module QuantumObjectives + +export ket_infidelity_loss +export unitary_infidelity_loss +export density_matrix_pure_state_infidelity_loss +export KetInfidelityLoss +export UnitaryInfidelityLoss +export DensityMatrixPureStateInfidelityLoss + +using LinearAlgebra +using NamedTrajectories +using PiccoloQuantumObjects +using DirectTrajOpt + +# --------------------------------------------------------- +# Kets +# --------------------------------------------------------- + +function ket_infidelity_loss( + ψ̃::AbstractVector, + ψ_goal::AbstractVector{<:Complex{Float64}} +) + ψ = iso_to_ket(ψ̃) + ℱ = abs2(ψ_goal' * ψ) + return abs(1 - ℱ) +end + +function KetInfidelityLoss( + ψ̃_name::Symbol, + traj::NamedTrajectory; + Q=100.0 +) + ψ_goal = iso_to_ket(traj.goal[ψ̃_name]) + ℓ = ψ̃ -> ket_infidelity_loss(ψ̃, ψ_goal) + return TerminalLoss(ℓ, ψ̃_name, traj; Q=Q) +end + + +# --------------------------------------------------------- +# Unitaries +# --------------------------------------------------------- + +function unitary_infidelity_loss( + Ũ⃗::AbstractVector, + U_goal::AbstractMatrix{<:Complex{Float64}} +) + U = iso_vec_to_operator(Ũ⃗) + ℱ = abs2(tr(U_goal' * U)) + return abs(1 - ℱ) +end + +function unitary_subspace_infidelity_loss( + Ũ⃗::AbstractVector, + U_goal::AbstractMatrix{<:Complex{Float64}}, + subspace::AbstractVector{Int} +) + U = iso_vec_to_operator(Ũ⃗)[subspace, subspace] + n = length(subspace) + M = U_goal'U + ℱ = 1 / (n * (n + 1)) * (tr(M'M) + abs2(tr(M))) + return abs(1 - ℱ) +end + +function UnitaryInfidelityLoss( + U_goal::AbstractMatrix{<:Complex{Float64}}, + Ũ⃗_name::Symbol, + traj::NamedTrajectory; + Q=100.0 +) + ℓ = Ũ⃗ -> unitary_infidelity_loss(Ũ⃗, U_goal) + return TerminalLoss(ℓ, Ũ⃗_name, traj; Q=Q) +end + +function UnitaryInfidelityLoss( + op::EmbeddedOperator, + Ũ⃗_name::Symbol, + traj::NamedTrajectory; + Q=100.0 +) + U_goal = unembed(op) + ℓ = Ũ⃗ -> unitary_subspace_infidelity_loss(Ũ⃗, U_goal, op.subspace) + return TerminalLoss(ℓ, Ũ⃗_name, traj; Q=Q) +end + + +# --------------------------------------------------------- +# Density Matrices +# --------------------------------------------------------- + +function density_matrix_pure_state_infidelity_loss( + ρ̃::AbstractVector, + ψ::AbstractVector{<:Complex{Float64}} +) + ρ = iso_vec_to_density(ρ̃) + ℱ = real(ψ' * ρ * ψ) + return abs(1 - ℱ) +end + +function DensityMatrixPureStateInfidelityLoss( + ρ̃_name::Symbol, + ψ_goal::AbstractVector{<:Complex{Float64}}, + traj::NamedTrajectory; + Q=100.0 +) + ℓ = ρ̃ -> density_matrix_pure_state_infidelity_loss(ρ̃, ψ_goal) + return TerminalLoss(ℓ, ρ̃_name, traj; Q=Q) +end + +end \ No newline at end of file From 879c9de28840259ba20a5806c59fba53cd9ac065 Mon Sep 17 00:00:00 2001 From: Aaron Trowbridge Date: Mon, 10 Mar 2025 18:07:41 -0400 Subject: [PATCH 02/30] refactor: update density operator problem and coherent ket function for clarity and consistency --- .../density_operator_smooth_pulse_problem.jl | 29 ++++--------------- src/quantum_system_templates/cats.jl | 2 +- 2 files changed, 7 insertions(+), 24 deletions(-) diff --git a/src/problem_templates/density_operator_smooth_pulse_problem.jl b/src/problem_templates/density_operator_smooth_pulse_problem.jl index 1fd1f8aa..f69e1604 100644 --- a/src/problem_templates/density_operator_smooth_pulse_problem.jl +++ b/src/problem_templates/density_operator_smooth_pulse_problem.jl @@ -6,6 +6,7 @@ function DensityOperatorSmoothPulseProblem( ψ_goal::AbstractVector, T::Int, Δt::Union{Float64, Vector{Float64}}; + density_matrix_integrator=DensityMatrixIntegrator, ipopt_options::IpoptOptions=IpoptOptions(), piccolo_options::PiccoloOptions=PiccoloOptions(), constraints::Vector{<:AbstractConstraint}=AbstractConstraint[], @@ -52,7 +53,7 @@ function DensityOperatorSmoothPulseProblem( end # Objective - J = DensityOperatorPureStateInfidelityObjective(:ρ⃗̃, ψ_goal; Q=Q) + J = DensityMatrixPureStateInfidelityLoss(:ρ⃗̃, ψ_goal, traj; Q=Q) J += QuadraticRegularizer(:a, traj, R_a) J += QuadraticRegularizer(:da, traj, R_da) J += QuadraticRegularizer(:dda, traj, R_dda) @@ -74,7 +75,7 @@ function DensityOperatorSmoothPulseProblem( if piccolo_options.free_time if piccolo_options.timesteps_all_equal - push!(constraints, TimeStepsAllEqualConstraint(:Δt, traj)) + push!(constraints, TimeStepsAllEqualConstraint(traj)) end end @@ -90,25 +91,10 @@ function DensityOperatorSmoothPulseProblem( push!(constraints, norm_con) end - # Integrators - # if piccolo_options.integrator == :pade - # unitary_integrator = - # UnitaryPadeIntegrator(system, :Ũ⃗, :a, traj; order=piccolo_options.pade_order) - # elseif piccolo_options.integrator == :exponential - # unitary_integrator = - # UnitaryExponentialIntegrator(system, :Ũ⃗, :a, traj) - # else - # error("integrator must be one of (:pade, :exponential)") - # end - - density_operator_integrator = DensityOperatorExponentialIntegrator( - :ρ⃗̃, :a, system, traj - ) - integrators = [ - density_operator_integrator, - DerivativeIntegrator(:a, :da, traj), - DerivativeIntegrator(:da, :dda, traj), + density_matrix_integrator(system, traj, :ρ⃗̃, :a), + DerivativeIntegrator(traj, :a, :da), + DerivativeIntegrator(traj, :da, :dda), ] return DirectTrajOptProblem( @@ -116,8 +102,5 @@ function DensityOperatorSmoothPulseProblem( J, integrators; constraints=constraints, - ipopt_options=ipopt_options, - piccolo_options=piccolo_options, - kwargs... ) end diff --git a/src/quantum_system_templates/cats.jl b/src/quantum_system_templates/cats.jl index ca7c0f2e..8956d332 100644 --- a/src/quantum_system_templates/cats.jl +++ b/src/quantum_system_templates/cats.jl @@ -2,7 +2,7 @@ export CatSystem export coherent_ket export get_cat_controls -function coherent_ket(α::Union{Real, Complex}, levels::Int) +function coherent_ket(α::Union{Real, Complex}, levels::Int)::Vector{ComplexF64} return [exp(-0.5 * abs2(α)) * α^n / sqrt(factorial(n)) for n in 0:levels-1] end From c0e35d530a5c066750776667d440e2636e92b553 Mon Sep 17 00:00:00 2001 From: Aaron Trowbridge Date: Wed, 12 Mar 2025 09:36:46 -0400 Subject: [PATCH 03/30] refactor: replace hardcoded integrator with parameterized ket_integrator in QuantumStateSmoothPulseProblem --- .../quantum_state_smooth_pulse_problem.jl | 57 ++----------------- 1 file changed, 5 insertions(+), 52 deletions(-) diff --git a/src/problem_templates/quantum_state_smooth_pulse_problem.jl b/src/problem_templates/quantum_state_smooth_pulse_problem.jl index d591e01d..7168f2d1 100644 --- a/src/problem_templates/quantum_state_smooth_pulse_problem.jl +++ b/src/problem_templates/quantum_state_smooth_pulse_problem.jl @@ -60,7 +60,7 @@ function QuantumStateSmoothPulseProblem( ψ_goals::Vector{<:AbstractVector{<:ComplexF64}}, T::Int, Δt::Union{Float64, <:AbstractVector{Float64}}; - ipopt_options::IpoptOptions=IpoptOptions(), + ket_integrator=KetIntegrator, piccolo_options::PiccoloOptions=PiccoloOptions(), state_name::Symbol=:ψ̃, control_name::Symbol=:a, @@ -139,56 +139,6 @@ function QuantumStateSmoothPulseProblem( state_leakage_indices=leakage_indices ) - # # Integrators - # state_integrators = [] - # if length(ψ_inits) == 1 - # if piccolo_options.integrator == :pade - # state_integrators = [QuantumStatePadeIntegrator( - # state_name, - # control_name, - # sys, - # traj; - # order=piccolo_options.pade_order - # )] - # elseif piccolo_options.integrator == :exponential - # state_integrators = [QuantumStateExponentialIntegrator( - # state_name, - # control_name, - # sys, - # traj - # )] - # else - # error("integrator must be one of (:pade, :exponential)") - # end - # else - # state_names = [ - # name for name ∈ traj.names - # if startswith(string(name), string(state_name)) - # ] - # state_integrators = [] - # for i = 1:length(ψ_inits) - # if piccolo_options.integrator == :pade - # state_integrator = QuantumStatePadeIntegrator( - # state_names[i], - # control_name, - # sys, - # traj; - # order=piccolo_options.pade_order - # ) - # elseif piccolo_options.integrator == :exponential - # state_integrator = QuantumStateExponentialIntegrator( - # state_names[i], - # control_name, - # sys, - # traj - # ) - # else - # error("integrator must be one of (:pade, :exponential)") - # end - # push!(state_integrators, state_integrator) - # end - # end - state_names = [ name for name ∈ traj.names if startswith(string(name), string(state_name)) @@ -197,7 +147,10 @@ function QuantumStateSmoothPulseProblem( state_integrators = [] for name ∈ state_names - push!(state_integrators, KetIntegrator(sys, traj, name, control_name)) + push!( + state_integrators, + ket_integrator(sys, traj, name, control_name) + ) end integrators = [ From b1a0831363583f62483ce95294bac0eddc2a1fc5 Mon Sep 17 00:00:00 2001 From: Aaron Trowbridge Date: Wed, 12 Mar 2025 09:47:53 -0400 Subject: [PATCH 04/30] refactor: simplify unitary smooth pulse problem tests and normalize infidelity loss calculation --- .../unitary_smooth_pulse_problem.jl | 20 +------------------ src/quantum_objectives.jl | 3 ++- 2 files changed, 3 insertions(+), 20 deletions(-) diff --git a/src/problem_templates/unitary_smooth_pulse_problem.jl b/src/problem_templates/unitary_smooth_pulse_problem.jl index 3d966014..55bb6f1b 100644 --- a/src/problem_templates/unitary_smooth_pulse_problem.jl +++ b/src/problem_templates/unitary_smooth_pulse_problem.jl @@ -183,30 +183,12 @@ end ) - ipopt_options=IpoptOptions(print_level=1) - - initial = unitary_rollout_fidelity(prob.trajectory, sys) - solve!(prob, max_iter=100, options=ipopt_options) - final = unitary_rollout_fidelity(prob.trajectory, sys) - @test final > initial -end - -@testitem "Hadamard gate with exponential integrator" begin - sys = QuantumSystem(GATES[:Z], [GATES[:X], GATES[:Y]]) - U_goal = GATES[:H] - T = 51 - Δt = 0.2 - - prob = UnitarySmoothPulseProblem( - sys, U_goal, T, Δt, - piccolo_options=PiccoloOptions(verbose=false, integrator=:exponential) - ) - ipopt_options=IpoptOptions(print_level=1) initial = unitary_rollout_fidelity(prob.trajectory, sys) solve!(prob, max_iter=50, options=ipopt_options) final = unitary_rollout_fidelity(prob.trajectory, sys) + println(final) @test final > initial end diff --git a/src/quantum_objectives.jl b/src/quantum_objectives.jl index 3b7a10c2..fcd3ee55 100644 --- a/src/quantum_objectives.jl +++ b/src/quantum_objectives.jl @@ -45,7 +45,8 @@ function unitary_infidelity_loss( U_goal::AbstractMatrix{<:Complex{Float64}} ) U = iso_vec_to_operator(Ũ⃗) - ℱ = abs2(tr(U_goal' * U)) + n = size(U, 1) + ℱ = abs2(tr(U_goal' * U)) / n^2 return abs(1 - ℱ) end From 8fac1f56f4807402dcb4fe38c26918fbe8699b16 Mon Sep 17 00:00:00 2001 From: Aaron Trowbridge Date: Wed, 12 Mar 2025 14:41:58 -0400 Subject: [PATCH 05/30] refactor: improve logging options and enhance infidelity loss calculation in unitary smooth pulse problem --- src/problem_templates/unitary_smooth_pulse_problem.jl | 9 ++++----- src/quantum_objectives.jl | 2 +- 2 files changed, 5 insertions(+), 6 deletions(-) diff --git a/src/problem_templates/unitary_smooth_pulse_problem.jl b/src/problem_templates/unitary_smooth_pulse_problem.jl index 55bb6f1b..e458d25f 100644 --- a/src/problem_templates/unitary_smooth_pulse_problem.jl +++ b/src/problem_templates/unitary_smooth_pulse_problem.jl @@ -98,7 +98,6 @@ function UnitarySmoothPulseProblem( constraints::Vector{<:AbstractConstraint}=AbstractConstraint[], kwargs... ) - println(typeof(unitary_integrator)) # Trajectory if !isnothing(init_trajectory) @@ -228,16 +227,17 @@ end T = 51 Δt = 0.2 + print_level = 1 # 5 is normal + # Test embedded operator # ---------------------- prob = UnitarySmoothPulseProblem( sys, U_goal, T, Δt, - ipopt_options=IpoptOptions(print_level=1), piccolo_options=PiccoloOptions(verbose=false) ) initial = unitary_rollout_fidelity(prob.trajectory, sys, subspace=U_goal.subspace) - solve!(prob, max_iter=20) + solve!(prob, max_iter=50, options=IpoptOptions(print_level=print_level)) final = unitary_rollout_fidelity(prob.trajectory, sys, subspace=U_goal.subspace) @test final > initial @@ -252,12 +252,11 @@ end prob = UnitarySmoothPulseProblem( sys, U_goal, T, Δt, leakage_suppression=true, R_leakage=1e-1, - ipopt_options=IpoptOptions(print_level=1), piccolo_options=PiccoloOptions(verbose=false) ) initial = unitary_rollout_fidelity(prob.trajectory, sys, subspace=U_goal.subspace) - solve!(prob, max_iter=50, options=IpoptOptions(print_level=1, eval_hessian=false)) + solve!(prob, max_iter=50, options=IpoptOptions(print_level=print_level)) final = unitary_rollout_fidelity(prob.trajectory, sys, subspace=U_goal.subspace) @test final > initial end diff --git a/src/quantum_objectives.jl b/src/quantum_objectives.jl index fcd3ee55..cdfa625b 100644 --- a/src/quantum_objectives.jl +++ b/src/quantum_objectives.jl @@ -58,7 +58,7 @@ function unitary_subspace_infidelity_loss( U = iso_vec_to_operator(Ũ⃗)[subspace, subspace] n = length(subspace) M = U_goal'U - ℱ = 1 / (n * (n + 1)) * (tr(M'M) + abs2(tr(M))) + ℱ = 1 / (n * (n + 1)) * (abs(tr(M'M)) + abs2(tr(M))) return abs(1 - ℱ) end From 89cb570622d176b408b1a27689b751409a0c9f82 Mon Sep 17 00:00:00 2001 From: Andy Goldschmidt Date: Wed, 12 Mar 2025 15:14:24 -0500 Subject: [PATCH 06/30] prune piccolo options --- Project.toml | 3 +- src/piccolo_options.jl | 24 +-- src/problem_templates/_problem_templates.jl | 16 +- .../unitary_smooth_pulse_problem.jl | 148 ++++++------------ src/trajectory_initialization.jl | 2 +- 5 files changed, 72 insertions(+), 121 deletions(-) diff --git a/Project.toml b/Project.toml index d642802f..600504cc 100644 --- a/Project.toml +++ b/Project.toml @@ -1,7 +1,7 @@ name = "QuantumCollocation" uuid = "0dc23a59-5ffb-49af-b6bd-932a8ae77adf" authors = ["Aaron Trowbridge and contributors"] -version = "0.6.0" +version = "0.7.0" [deps] DirectTrajOpt = "82ab4c96-bdfe-4573-b0a2-347b6440cc7b" @@ -21,6 +21,7 @@ TestItems = "1c621080-faea-4a02-84b6-bbd5e436b8fe" TrajectoryIndexingUtils = "6dad8b7f-dd9a-4c28-9b70-85b9a079bfc8" [compat] +DirectTrajOpt = "0.1" Distributions = "0.25" ExponentialAction = "0.2" Interpolations = "0.15" diff --git a/src/piccolo_options.jl b/src/piccolo_options.jl index e0d20611..50e056d3 100644 --- a/src/piccolo_options.jl +++ b/src/piccolo_options.jl @@ -11,45 +11,29 @@ Options for the Piccolo quantum optimal control library. # Fields - `verbose::Bool = true`: Print verbose output -- `verbose_evaluator::Bool = false`: Print verbose output from the evaluator -- `free_time::Bool = true`: Allow free time optimization - `timesteps_all_equal::Bool = true`: Use equal timesteps -- `integrator::Symbol = :pade`: Integrator to use -- `pade_order::Int = 4`: Order of the Pade approximation - `rollout_integrator::Function = expv`: Integrator to use for rollout -- `eval_hessian::Bool = false`: Evaluate the Hessian - `geodesic = true`: Use the geodesic to initialize the optimization. -- `blas_multithreading::Bool = true`: Use BLAS multithreading. - `build_trajectory_constraints::Bool = true`: Build trajectory constraints. +- `zero_initial_and_final_derivative::Bool=false`: Zero the initial and final control pulse derivatives. - `complex_control_norm_constraint_name::Union{Nothing, Symbol} = nothing`: Name of the complex control norm constraint. - `complex_control_norm_constraint_radius::Float64 = 1.0`: Radius of the complex control norm constraint. - `bound_state::Bool = false`: Bound the state. - `leakage_suppression::Bool = false`: Suppress leakage. - `R_leakage::Float64 = 1.0`: Leakage suppression parameter. -- `free_phase_infidelity::Bool = false`: Free phase infidelity. -- `phase_operators::Union{Nothing, AbstractVector{<:AbstractMatrix{<:Complex}}} = nothing`: Phase operators. -- `phase_name::Symbol = :ϕ`: Name of the phase. """ @kwdef mutable struct PiccoloOptions verbose::Bool = true - verbose_evaluator::Bool = false - free_time::Bool = true timesteps_all_equal::Bool = true - integrator::Symbol = :pade - pade_order::Int = 4 rollout_integrator::Function = expv - eval_hessian::Bool = false - geodesic = true - blas_multithreading::Bool = true + geodesic::Bool = true build_trajectory_constraints::Bool = true + zero_initial_and_final_derivative::Bool = true complex_control_norm_constraint_name::Union{Nothing, Symbol} = nothing complex_control_norm_constraint_radius::Float64 = 1.0 - bound_state::Bool = integrator == :exponential + bound_state::Bool = false leakage_suppression::Bool = false R_leakage::Float64 = 1.0 - free_phase_infidelity::Bool = false - phase_operators::Union{Nothing, AbstractVector{<:AbstractMatrix{<:Complex}}} = nothing - phase_name::Symbol = :ϕ end end \ No newline at end of file diff --git a/src/problem_templates/_problem_templates.jl b/src/problem_templates/_problem_templates.jl index 0d182f6b..98cb4250 100644 --- a/src/problem_templates/_problem_templates.jl +++ b/src/problem_templates/_problem_templates.jl @@ -31,6 +31,7 @@ include("quantum_state_sampling_problem.jl") include("density_operator_smooth_pulse_problem.jl") + function apply_piccolo_options!( J::Objective, constraints::AbstractVector{<:AbstractConstraint}, @@ -39,8 +40,13 @@ function apply_piccolo_options!( state_names::AbstractVector{Symbol}, timestep_name::Symbol; state_leakage_indices::Union{Nothing, AbstractVector{<:AbstractVector{Int}}}=nothing, + free_time::Bool=true, ) if piccolo_options.leakage_suppression + if piccolo_options.verbose + println("\tapplying leakage suppression: $(state_names)") + end + if isnothing(state_leakage_indices) error("You must provide leakage indices for leakage suppression.") end @@ -56,7 +62,10 @@ function apply_piccolo_options!( end end - if piccolo_options.free_time + if free_time + if piccolo_options.verbose + println("\tapplying timesteps_all_equal constraint: $(traj.timestep)") + end if piccolo_options.timesteps_all_equal push!( constraints, @@ -66,6 +75,9 @@ function apply_piccolo_options!( end if !isnothing(piccolo_options.complex_control_norm_constraint_name) + if piccolo_options.verbose + println("\tapplying complex control norm constraint: $(piccolo_options.complex_control_norm_constraint_name)") + end norm_con = NonlinearKnotPointConstraint( a -> -[norm(a)^2 - piccolo_options.complex_control_norm_constraint_radius^2], piccolo_options.complex_control_norm_constraint_name, @@ -86,6 +98,7 @@ function apply_piccolo_options!( state_name::Symbol, timestep_name::Symbol; state_leakage_indices::Union{Nothing, AbstractVector{Int}}=nothing, + kwargs... ) state_names = [ name for name ∈ traj.names @@ -100,6 +113,7 @@ function apply_piccolo_options!( state_names, timestep_name; state_leakage_indices=isnothing(state_leakage_indices) ? nothing : fill(state_leakage_indices, length(state_names)), + kwargs... ) end diff --git a/src/problem_templates/unitary_smooth_pulse_problem.jl b/src/problem_templates/unitary_smooth_pulse_problem.jl index e458d25f..6fbe8909 100644 --- a/src/problem_templates/unitary_smooth_pulse_problem.jl +++ b/src/problem_templates/unitary_smooth_pulse_problem.jl @@ -41,18 +41,16 @@ with - `Δt::Float64`: the (initial) time step size # Keyword Arguments -- `ipopt_options::IpoptOptions=IpoptOptions()`: the options for the Ipopt solver - `piccolo_options::PiccoloOptions=PiccoloOptions()`: the options for the Piccolo solver - `state_name::Symbol = :Ũ⃗`: the name of the state - `control_name::Symbol = :a`: the name of the control - `timestep_name::Symbol = :Δt`: the name of the timestep - `init_trajectory::Union{NamedTrajectory, Nothing}=nothing`: an initial trajectory to use +- `a_guess::Union{Matrix{Float64}, Nothing}=nothing`: an initial guess for the control pulses - `a_bound::Float64=1.0`: the bound on the control pulse - `a_bounds::Vector{Float64}=fill(a_bound, length(system.G_drives))`: the bounds on the control pulses, one for each drive -- `a_guess::Union{Matrix{Float64}, Nothing}=nothing`: an initial guess for the control pulses - `da_bound::Float64=Inf`: the bound on the control pulse derivative - `da_bounds::Vector{Float64}=fill(da_bound, length(system.G_drives))`: the bounds on the control pulse derivatives, one for each drive -- `zero_initial_and_final_derivative::Bool=false`: whether to enforce zero initial and final control pulse derivatives - `dda_bound::Float64=1.0`: the bound on the control pulse second derivative - `dda_bounds::Vector{Float64}=fill(dda_bound, length(system.G_drives))`: the bounds on the control pulse second derivatives, one for each drive - `Δt_min::Float64=Δt isa Float64 ? 0.5 * Δt : 0.5 * mean(Δt)`: the minimum time step size @@ -62,8 +60,6 @@ with - `R_a::Union{Float64, Vector{Float64}}=R`: the weight on the regularization term for the control pulses - `R_da::Union{Float64, Vector{Float64}}=R`: the weight on the regularization term for the control pulse derivatives - `R_dda::Union{Float64, Vector{Float64}}=R`: the weight on the regularization term for the control pulse second derivatives -- `phase_name::Symbol=:ϕ`: the name of the phase -- `phase_operators::Union{AbstractVector{<:AbstractMatrix}, Nothing}=nothing`: the phase operators for free phase corrections - `constraints::Vector{<:AbstractConstraint}=AbstractConstraint[]`: the constraints to enforce """ @@ -78,12 +74,11 @@ function UnitarySmoothPulseProblem( control_name::Symbol = :a, timestep_name::Symbol = :Δt, init_trajectory::Union{NamedTrajectory, Nothing}=nothing, + a_guess::Union{Matrix{Float64}, Nothing}=nothing, a_bound::Float64=1.0, a_bounds=fill(a_bound, system.n_drives), - a_guess::Union{Matrix{Float64}, Nothing}=nothing, da_bound::Float64=Inf, da_bounds::Vector{Float64}=fill(da_bound, system.n_drives), - zero_initial_and_final_derivative::Bool=false, dda_bound::Float64=1.0, dda_bounds::Vector{Float64}=fill(dda_bound, system.n_drives), Δt_min::Float64=Δt isa Float64 ? 0.5 * Δt : 0.5 * mean(Δt), @@ -93,11 +88,13 @@ function UnitarySmoothPulseProblem( R_a::Union{Float64, Vector{Float64}}=R, R_da::Union{Float64, Vector{Float64}}=R, R_dda::Union{Float64, Vector{Float64}}=R, - phase_name::Symbol=:ϕ, - phase_operators::Union{AbstractVector{<:AbstractMatrix}, Nothing}=nothing, constraints::Vector{<:AbstractConstraint}=AbstractConstraint[], kwargs... ) + if piccolo_options.verbose + println(" constructing UnitarySmoothPulseProblem...") + println("\tusing integrator: $(typeof(unitary_integrator))") + end # Trajectory if !isnothing(init_trajectory) @@ -112,16 +109,13 @@ function UnitarySmoothPulseProblem( state_name=state_name, control_name=control_name, timestep_name=timestep_name, - free_time=piccolo_options.free_time, Δt_bounds=(Δt_min, Δt_max), - zero_initial_and_final_derivative=zero_initial_and_final_derivative, + zero_initial_and_final_derivative=piccolo_options.zero_initial_and_final_derivative, geodesic=piccolo_options.geodesic, bound_state=piccolo_options.bound_state, a_guess=a_guess, system=system, - rollout_integrator=piccolo_options.rollout_integrator, - phase_name=phase_name, - phase_operators=phase_operators + rollout_integrator=piccolo_options.rollout_integrator ) end @@ -181,45 +175,33 @@ end piccolo_options=PiccoloOptions(verbose=false) ) - - ipopt_options=IpoptOptions(print_level=1) - initial = unitary_rollout_fidelity(prob.trajectory, sys) - solve!(prob, max_iter=50, options=ipopt_options) + solve!(prob, max_iter=100, verbose=false, options=IpoptOptions(print_level=1)) final = unitary_rollout_fidelity(prob.trajectory, sys) - println(final) @test final > initial end -@testitem "Hadamard gate with exponential integrator, bounded states, and control norm constraint" begin +@testitem "Hadamard gate with bound states and control norm constraint" begin sys = QuantumSystem(GATES[:Z], [GATES[:X], GATES[:Y]]) U_goal = GATES[:H] T = 51 Δt = 0.2 - piccolo_options = PiccoloOptions( - verbose=false, - integrator=:exponential, - # jacobian_structure=false, - bound_state=true, - complex_control_norm_constraint_name=:a - ) - prob = UnitarySmoothPulseProblem( sys, U_goal, T, Δt, - piccolo_options=piccolo_options + piccolo_options=PiccoloOptions( + verbose=false, + bound_state=true, + complex_control_norm_constraint_name=:a + ) ) - ipopt_options=IpoptOptions(print_level=1) - initial = unitary_rollout_fidelity(prob.trajectory, sys) - solve!(prob, max_iter=50, options=ipopt_options) + solve!(prob, max_iter=100, verbose=false, options=IpoptOptions(print_level=1)) final = unitary_rollout_fidelity(prob.trajectory, sys) @test final > initial end - - @testitem "EmbeddedOperator Hadamard gate" begin a = annihilate(3) sys = QuantumSystem([(a + a')/2, (a - a')/(2im)]) @@ -227,22 +209,18 @@ end T = 51 Δt = 0.2 - print_level = 1 # 5 is normal - - # Test embedded operator - # ---------------------- prob = UnitarySmoothPulseProblem( sys, U_goal, T, Δt, piccolo_options=PiccoloOptions(verbose=false) ) initial = unitary_rollout_fidelity(prob.trajectory, sys, subspace=U_goal.subspace) - solve!(prob, max_iter=50, options=IpoptOptions(print_level=print_level)) + solve!(prob, verbose=false, max_iter=50, options=IpoptOptions(print_level=1)) final = unitary_rollout_fidelity(prob.trajectory, sys, subspace=U_goal.subspace) @test final > initial +end - # Test leakage suppression - # ------------------------ +@testitem "Leakage suppression" begin a = annihilate(4) sys = QuantumSystem([(a + a')/2, (a - a')/(2im)]) U_goal = EmbeddedOperator(GATES[:H], sys) @@ -256,71 +234,45 @@ end ) initial = unitary_rollout_fidelity(prob.trajectory, sys, subspace=U_goal.subspace) - solve!(prob, max_iter=50, options=IpoptOptions(print_level=print_level)) + solve!( + prob, + verbose=false, + max_iter=50, + options=IpoptOptions(eval_hessian=false, print_level=1) # slow l1 + ) final = unitary_rollout_fidelity(prob.trajectory, sys, subspace=U_goal.subspace) @test final > initial end -# @testitem "Additional Objective" begin -# H_drift = GATES[:Z] -# H_drives = [GATES[:X], GATES[:Y]] -# U_goal = GATES[:H] -# T = 50 -# Δt = 0.2 - -# prob_vanilla = UnitarySmoothPulseProblem( -# H_drift, H_drives, U_goal, T, Δt, -# ipopt_options=IpoptOptions(print_level=1), -# piccolo_options=PiccoloOptions(verbose=false), -# ) - -# J_additional = QuadraticRegularizer(:dda, prob_vanilla.trajectory, 10.0) - -# prob_additional = UnitarySmoothPulseProblem( -# H_drift, H_drives, U_goal, T, Δt, +# @testitem "Free phase Y gate using X" begin +# using Random +# # Random.seed!(1234) +# phase_name = :ϕ +# phase_operators = [PAULIS[:Z]] +# sys = QuantumSystem([PAULIS[:X]]) +# prob = UnitarySmoothPulseProblem( +# sys, +# GATES[:Y], +# 51, +# 0.2; +# phase_operators=phase_operators, +# phase_name=phase_name, # ipopt_options=IpoptOptions(print_level=1), -# piccolo_options=PiccoloOptions(verbose=false), -# additional_objective=J_extra, +# piccolo_options=PiccoloOptions(verbose=false, free_time=false) # ) -# J_prob_vanilla = Problems.get_objective(prob_vanilla) +# before = prob.trajectory.global_data[phase_name] +# solve!(prob, max_iter=50) +# after = prob.trajectory.global_data[phase_name] -# J_additional = Problems.get_objective(prob_additional) +# @test before ≠ after -# Z = prob_vanilla.trajectory -# Z⃗ = vec(prob_vanilla.trajectory) +# @test unitary_rollout_fidelity( +# prob.trajectory, +# sys; +# phases=prob.trajectory.global_data[phase_name], +# phase_operators=phase_operators +# ) > 0.9 -# @test J_prob_vanilla.L(Z⃗, Z) + J_extra.L(Z⃗, Z) ≈ J_additional.L(Z⃗, Z) +# @test unitary_rollout_fidelity(prob.trajectory, sys) < 0.9 # end -@testitem "Free phase Y gate using X" begin - using Random - # Random.seed!(1234) - phase_name = :ϕ - phase_operators = [PAULIS[:Z]] - sys = QuantumSystem([PAULIS[:X]]) - prob = UnitarySmoothPulseProblem( - sys, - GATES[:Y], - 51, - 0.2; - phase_operators=phase_operators, - phase_name=phase_name, - ipopt_options=IpoptOptions(print_level=1), - piccolo_options=PiccoloOptions(verbose=false, free_time=false) - ) - - before = prob.trajectory.global_data[phase_name] - solve!(prob, max_iter=50) - after = prob.trajectory.global_data[phase_name] - - @test before ≠ after - - @test unitary_rollout_fidelity( - prob.trajectory, - sys; - phases=prob.trajectory.global_data[phase_name], - phase_operators=phase_operators - ) > 0.9 - - @test unitary_rollout_fidelity(prob.trajectory, sys) < 0.9 -end diff --git a/src/trajectory_initialization.jl b/src/trajectory_initialization.jl index cb38de92..59cddae2 100644 --- a/src/trajectory_initialization.jl +++ b/src/trajectory_initialization.jl @@ -267,7 +267,7 @@ function initialize_trajectory( n_drives::Int, control_bounds::Tuple{Vararg{VectorBound}}; bound_state=false, - free_time=false, + free_time=true, control_name=:a, n_control_derivatives::Int=length(control_bounds) - 1, zero_initial_and_final_derivative=false, From e551bb773cf58c40d1d340ebdda27b4afeb1a226 Mon Sep 17 00:00:00 2001 From: Aaron Trowbridge Date: Wed, 12 Mar 2025 16:33:40 -0400 Subject: [PATCH 07/30] refactor: rename and simplify infidelity loss functions for improved clarity and consistency --- src/quantum_objectives.jl | 24 ++++++------------------ 1 file changed, 6 insertions(+), 18 deletions(-) diff --git a/src/quantum_objectives.jl b/src/quantum_objectives.jl index cdfa625b..7c085bdd 100644 --- a/src/quantum_objectives.jl +++ b/src/quantum_objectives.jl @@ -50,20 +50,20 @@ function unitary_infidelity_loss( return abs(1 - ℱ) end -function unitary_subspace_infidelity_loss( +function unitary_infidelity_loss( Ũ⃗::AbstractVector, - U_goal::AbstractMatrix{<:Complex{Float64}}, - subspace::AbstractVector{Int} + op::EmbeddedOperator ) - U = iso_vec_to_operator(Ũ⃗)[subspace, subspace] - n = length(subspace) + U_goal = unembed(op) + U = iso_vec_to_operator(Ũ⃗)[op.subspace, op.subspace] + n = length(op.subspace) M = U_goal'U ℱ = 1 / (n * (n + 1)) * (abs(tr(M'M)) + abs2(tr(M))) return abs(1 - ℱ) end function UnitaryInfidelityLoss( - U_goal::AbstractMatrix{<:Complex{Float64}}, + U_goal::AbstractPiccoloOperator, Ũ⃗_name::Symbol, traj::NamedTrajectory; Q=100.0 @@ -72,18 +72,6 @@ function UnitaryInfidelityLoss( return TerminalLoss(ℓ, Ũ⃗_name, traj; Q=Q) end -function UnitaryInfidelityLoss( - op::EmbeddedOperator, - Ũ⃗_name::Symbol, - traj::NamedTrajectory; - Q=100.0 -) - U_goal = unembed(op) - ℓ = Ũ⃗ -> unitary_subspace_infidelity_loss(Ũ⃗, U_goal, op.subspace) - return TerminalLoss(ℓ, Ũ⃗_name, traj; Q=Q) -end - - # --------------------------------------------------------- # Density Matrices # --------------------------------------------------------- From 3920ad90c52b9ab0582d2113ee8c1fcaec33b63b Mon Sep 17 00:00:00 2001 From: Andy Goldschmidt Date: Thu, 13 Mar 2025 02:47:14 -0500 Subject: [PATCH 08/30] refactor: add quantum constraints module and update problem templates, piccolo options for DTO --- src/QuantumCollocation.jl | 3 + src/piccolo_options.jl | 3 +- src/problem_templates/_problem_templates.jl | 37 ++- .../density_operator_smooth_pulse_problem.jl | 106 ------- .../quantum_state_minimum_time_problem.jl | 131 ++++----- .../quantum_state_sampling_problem.jl | 145 ++++------ .../quantum_state_smooth_pulse_problem.jl | 100 ++----- .../unitary_bang_bang_problem.jl | 264 ----------------- .../unitary_direct_sum_problem.jl | 273 ------------------ .../unitary_minimum_time_problem.jl | 159 +++------- .../unitary_robustness_problem.jl | 264 ----------------- .../unitary_sampling_problem.jl | 126 +++----- .../unitary_smooth_pulse_problem.jl | 81 +----- src/quantum_constraints.jl | 80 +++++ src/trajectory_initialization.jl | 2 +- 15 files changed, 330 insertions(+), 1444 deletions(-) delete mode 100644 src/problem_templates/density_operator_smooth_pulse_problem.jl delete mode 100644 src/problem_templates/unitary_bang_bang_problem.jl delete mode 100644 src/problem_templates/unitary_direct_sum_problem.jl delete mode 100644 src/problem_templates/unitary_robustness_problem.jl create mode 100644 src/quantum_constraints.jl diff --git a/src/QuantumCollocation.jl b/src/QuantumCollocation.jl index 6c408d94..261e869a 100644 --- a/src/QuantumCollocation.jl +++ b/src/QuantumCollocation.jl @@ -17,6 +17,9 @@ include("trajectory_interpolations.jl") include("quantum_objectives.jl") @reexport using .QuantumObjectives +include("quantum_constraints.jl") +@reexport using .QuantumConstraints + include("quantum_integrators.jl") @reexport using .QuantumIntegrators diff --git a/src/piccolo_options.jl b/src/piccolo_options.jl index 50e056d3..d784f70d 100644 --- a/src/piccolo_options.jl +++ b/src/piccolo_options.jl @@ -14,7 +14,6 @@ Options for the Piccolo quantum optimal control library. - `timesteps_all_equal::Bool = true`: Use equal timesteps - `rollout_integrator::Function = expv`: Integrator to use for rollout - `geodesic = true`: Use the geodesic to initialize the optimization. -- `build_trajectory_constraints::Bool = true`: Build trajectory constraints. - `zero_initial_and_final_derivative::Bool=false`: Zero the initial and final control pulse derivatives. - `complex_control_norm_constraint_name::Union{Nothing, Symbol} = nothing`: Name of the complex control norm constraint. - `complex_control_norm_constraint_radius::Float64 = 1.0`: Radius of the complex control norm constraint. @@ -27,12 +26,12 @@ Options for the Piccolo quantum optimal control library. timesteps_all_equal::Bool = true rollout_integrator::Function = expv geodesic::Bool = true - build_trajectory_constraints::Bool = true zero_initial_and_final_derivative::Bool = true complex_control_norm_constraint_name::Union{Nothing, Symbol} = nothing complex_control_norm_constraint_radius::Float64 = 1.0 bound_state::Bool = false leakage_suppression::Bool = false + state_leakage_indices::AbstractVector{Int} = Int[] R_leakage::Float64 = 1.0 end diff --git a/src/problem_templates/_problem_templates.jl b/src/problem_templates/_problem_templates.jl index 98cb4250..f6281f4d 100644 --- a/src/problem_templates/_problem_templates.jl +++ b/src/problem_templates/_problem_templates.jl @@ -4,10 +4,10 @@ using ..DirectSums using ..Rollouts using ..TrajectoryInitialization using ..QuantumObjectives +using ..QuantumConstraints using ..QuantumIntegrators using ..Options -using Distributions using TrajectoryIndexingUtils using NamedTrajectories using DirectTrajOpt @@ -20,10 +20,7 @@ using TestItems include("unitary_smooth_pulse_problem.jl") include("unitary_minimum_time_problem.jl") -include("unitary_robustness_problem.jl") -include("unitary_direct_sum_problem.jl") include("unitary_sampling_problem.jl") -include("unitary_bang_bang_problem.jl") include("quantum_state_smooth_pulse_problem.jl") include("quantum_state_minimum_time_problem.jl") @@ -43,23 +40,23 @@ function apply_piccolo_options!( free_time::Bool=true, ) if piccolo_options.leakage_suppression - if piccolo_options.verbose - println("\tapplying leakage suppression: $(state_names)") - end + throw(error("L1 is not implemented.")) + # if piccolo_options.verbose + # println("\tapplying leakage suppression: $(state_names)") + # end - if isnothing(state_leakage_indices) - error("You must provide leakage indices for leakage suppression.") - end - for (state_name, leakage_indices) ∈ zip(state_names, state_leakage_indices) - J += L1Regularizer!( - constraints, - state_name, - traj; - R_value=piccolo_options.R_leakage, - indices=leakage_indices, - eval_hessian=piccolo_options.eval_hessian - ) - end + # if isnothing(state_leakage_indices) + # error("You must provide leakage indices for leakage suppression.") + # end + # for (state_name, leakage_indices) ∈ zip(state_names, state_leakage_indices) + # J += L1Regularizer!( + # constraints, + # state_name, + # traj; + # R_value=piccolo_options.R_leakage, + # indices=leakage_indices, + # ) + # end end if free_time diff --git a/src/problem_templates/density_operator_smooth_pulse_problem.jl b/src/problem_templates/density_operator_smooth_pulse_problem.jl deleted file mode 100644 index f69e1604..00000000 --- a/src/problem_templates/density_operator_smooth_pulse_problem.jl +++ /dev/null @@ -1,106 +0,0 @@ -export DensityOperatorSmoothPulseProblem - -function DensityOperatorSmoothPulseProblem( - system::OpenQuantumSystem, - ρ_init::AbstractMatrix, - ψ_goal::AbstractVector, - T::Int, - Δt::Union{Float64, Vector{Float64}}; - density_matrix_integrator=DensityMatrixIntegrator, - ipopt_options::IpoptOptions=IpoptOptions(), - piccolo_options::PiccoloOptions=PiccoloOptions(), - constraints::Vector{<:AbstractConstraint}=AbstractConstraint[], - init_trajectory::Union{NamedTrajectory, Nothing}=nothing, - a_bound::Float64=1.0, - a_bounds=fill(a_bound, system.n_drives), - a_guess::Union{Matrix{Float64}, Nothing}=nothing, - da_bound::Float64=Inf, - da_bounds=fill(da_bound, system.n_drives), - dda_bound::Float64=1.0, - dda_bounds=fill(dda_bound, system.n_drives), - Δt_min::Float64=Δt isa Float64 ? 0.5 * Δt : 0.5 * mean(Δt), - Δt_max::Float64=Δt isa Float64 ? 1.5 * Δt : 1.5 * mean(Δt), - drive_derivative_σ::Float64=0.01, - Q::Float64=100.0, - R=1e-2, - R_a::Union{Float64, Vector{Float64}}=R, - R_da::Union{Float64, Vector{Float64}}=R, - R_dda::Union{Float64, Vector{Float64}}=R, - leakage_suppression=false, - R_leakage=1e-1, - control_norm_constraint=false, - control_norm_constraint_components=nothing, - control_norm_R=nothing, - kwargs... -) - # Trajectory - if !isnothing(init_trajectory) - traj = init_trajectory - else - traj = initialize_trajectory( - ρ_init, - ψ_goal*ψ_goal', - T, - Δt, - system.n_drives, - (a_bounds, da_bounds, dda_bounds); - free_time=piccolo_options.free_time, - Δt_bounds=(Δt_min, Δt_max), - drive_derivative_σ=drive_derivative_σ, - a_guess=a_guess, - system=system, - ) - end - - # Objective - J = DensityMatrixPureStateInfidelityLoss(:ρ⃗̃, ψ_goal, traj; Q=Q) - J += QuadraticRegularizer(:a, traj, R_a) - J += QuadraticRegularizer(:da, traj, R_da) - J += QuadraticRegularizer(:dda, traj, R_dda) - - # Constraints - if leakage_suppression - if operator isa EmbeddedOperator - leakage_indices = get_iso_vec_leakage_indices(operator) - J += L1Regularizer!( - constraints, :Ũ⃗, traj, - R_value=R_leakage, - indices=leakage_indices, - eval_hessian=piccolo_options.eval_hessian - ) - else - @warn "leakage_suppression is not supported for non-embedded operators, ignoring." - end - end - - if piccolo_options.free_time - if piccolo_options.timesteps_all_equal - push!(constraints, TimeStepsAllEqualConstraint(traj)) - end - end - - if control_norm_constraint - @assert !isnothing(control_norm_constraint_components) "control_norm_constraint_components must be provided" - @assert !isnothing(control_norm_R) "control_norm_R must be provided" - norm_con = ComplexModulusContraint( - :a, - control_norm_R, - traj; - name_comps=control_norm_constraint_components, - ) - push!(constraints, norm_con) - end - - integrators = [ - density_matrix_integrator(system, traj, :ρ⃗̃, :a), - DerivativeIntegrator(traj, :a, :da), - DerivativeIntegrator(traj, :da, :dda), - ] - - return DirectTrajOptProblem( - traj, - J, - integrators; - constraints=constraints, - ) -end diff --git a/src/problem_templates/quantum_state_minimum_time_problem.jl b/src/problem_templates/quantum_state_minimum_time_problem.jl index 846e209d..cfc462cb 100644 --- a/src/problem_templates/quantum_state_minimum_time_problem.jl +++ b/src/problem_templates/quantum_state_minimum_time_problem.jl @@ -7,91 +7,72 @@ export QuantumStateMinimumTimeProblem Construct a `DirectTrajOptProblem` for the minimum time problem of reaching a target state. -# Arguments -- `traj::NamedTrajectory`: The initial trajectory. -- `sys::QuantumSystem`: The quantum system. -- `obj::Objective`: The objective function. -- `integrators::Vector{<:AbstractIntegrator}`: The integrators. -- `constraints::Vector{<:AbstractConstraint}`: The constraints. -or -- `prob::DirectTrajOptProblem`: The quantum control problem. - # Keyword Arguments - `state_name::Symbol=:ψ̃`: The symbol for the state variables. - `final_fidelity::Union{Real, Nothing}=nothing`: The final fidelity. - `D=1.0`: The cost weight on the time. -- `ipopt_options::IpoptOptions=IpoptOptions()`: The Ipopt options. - `piccolo_options::PiccoloOptions=PiccoloOptions()`: The Piccolo options. -- `kwargs...`: Additional keyword arguments, passed to `DirectTrajOptProblem`. - """ function QuantumStateMinimumTimeProblem end function QuantumStateMinimumTimeProblem( - traj::NamedTrajectory, - obj::Objective, - integrators::Vector{<:AbstractIntegrator}, + trajectory::NamedTrajectory, + ψ_goals::AbstractVector{<:AbstractVector{<:ComplexF64}}, + objective::Objective, + dynamics::TrajectoryDynamics, constraints::Vector{<:AbstractConstraint}; state_name::Symbol=:ψ̃, - control_name::Symbol=:a, - final_fidelity::Union{Real, Nothing}=nothing, + final_fidelity::Float64=1.0, D=1.0, - ipopt_options::IpoptOptions=IpoptOptions(), piccolo_options::PiccoloOptions=PiccoloOptions(), - kwargs... ) - state_names = [name for name in traj.names if startswith(name, state_name)] + state_names = [name for name in trajectory.names if startswith(string(name), string(state_name))] @assert length(state_names) ≥ 1 "No matching states found in trajectory" + @assert length(state_names) == length(ψ_goals) "Number of states and goals must match" - obj += MinimumTimeObjective(traj; D=D, eval_hessian=piccolo_options.eval_hessian) - - # Default to average state fidelity - if isnothing(final_fidelity) - vals = [iso_fidelity(traj[n][:, end], traj.goal[n]) for n ∈ state_names] - final_fidelity = sum(vals) / length(vals) + if piccolo_options.verbose + println(" constructing QuantumStateMinimumTimeProblem...") + println("\tfinal fidelity: $(final_fidelity)") end - for state_name in state_names - fidelity_constraint = FinalQuantumStateFidelityConstraint( + objective += MinimumTimeObjective( + trajectory, D=D, timesteps_all_equal=piccolo_options.timesteps_all_equal + ) + + for (state_name, ψ_goal) in zip(state_names, ψ_goals) + fidelity_constraint = FinalKetFidelityConstraint( + ψ_goal, state_name, final_fidelity, - traj, - eval_hessian=piccolo_options.eval_hessian + trajectory, ) push!(constraints, fidelity_constraint) end return DirectTrajOptProblem( - traj, - obj, - integrators; - constraints=constraints, - ipopt_options=ipopt_options, - piccolo_options=piccolo_options, - control_name=control_name, - kwargs... + trajectory, + objective, + dynamics, + constraints ) end +# TODO: goals from trajectory? + function QuantumStateMinimumTimeProblem( - prob::DirectTrajOptProblem; - obj::Objective=get_objective(prob), - constraints::AbstractVector{<:AbstractConstraint}=get_constraints(prob), - ipopt_options::IpoptOptions=deepcopy(prob.ipopt_options), - piccolo_options::PiccoloOptions=deepcopy(prob.piccolo_options), - build_trajectory_constraints=false, + prob::DirectTrajOptProblem, + ψ_goals::AbstractVector{<:AbstractVector{<:ComplexF64}}; + objective::Objective=prob.objective, + constraints::AbstractVector{<:AbstractConstraint}=prob.constraints, kwargs... ) - piccolo_options.build_trajectory_constraints = build_trajectory_constraints - return QuantumStateMinimumTimeProblem( - copy(prob.trajectory), - obj, - prob.integrators, + prob.trajectory, + ψ_goals, + objective, + prob.dynamics, constraints; - ipopt_options=ipopt_options, - piccolo_options=piccolo_options, kwargs... ) end @@ -99,30 +80,26 @@ end # *************************************************************************** # @testitem "Test quantum state minimum time" begin - using NamedTrajectories - using PiccoloQuantumObjects - - # System - T = 50 - Δt = 0.2 - sys = QuantumSystem(0.1 * GATES[:Z], [GATES[:X], GATES[:Y]]) - ψ_init = Vector{ComplexF64}[[1.0, 0.0]] - ψ_target = Vector{ComplexF64}[[0.0, 1.0]] - - prob = QuantumStateSmoothPulseProblem( - sys, ψ_init, ψ_target, T, Δt; - ipopt_options=IpoptOptions(print_level=1), - piccolo_options=PiccoloOptions( - verbose=false, - integrator=:pade - ) - ) - initial = sum(get_timesteps(prob.trajectory)) - mintime_prob = QuantumStateMinimumTimeProblem(prob) - solve!(mintime_prob, max_iter=20) - final = sum(get_timesteps(mintime_prob.trajectory)) - @test final < initial - - # Test with final fidelity - QuantumStateMinimumTimeProblem(prob, final_fidelity=0.99) + using NamedTrajectories + + T = 51 + Δt = 0.2 + sys = QuantumSystem(0.1 * GATES[:Z], [GATES[:X], GATES[:Y]]) + ψ_init = Vector{ComplexF64}[[1.0, 0.0]] + ψ_target = Vector{ComplexF64}[[0.0, 1.0]] + + prob = QuantumStateSmoothPulseProblem( + sys, ψ_init, ψ_target, T, Δt; + piccolo_options=PiccoloOptions(verbose=false) + ) + initial = sum(get_timesteps(prob.trajectory)) + + min_prob = QuantumStateMinimumTimeProblem( + prob, ψ_target, + piccolo_options=PiccoloOptions(verbose=false) + ) + solve!(min_prob, max_iter=50, verbose=false, print_level=1) + final = sum(get_timesteps(min_prob.trajectory)) + + @test final < initial end diff --git a/src/problem_templates/quantum_state_sampling_problem.jl b/src/problem_templates/quantum_state_sampling_problem.jl index edde32a8..26d196d6 100644 --- a/src/problem_templates/quantum_state_sampling_problem.jl +++ b/src/problem_templates/quantum_state_sampling_problem.jl @@ -1,5 +1,8 @@ export QuantumStateSamplingProblem +""" + +""" function QuantumStateSamplingProblem end function QuantumStateSamplingProblem( @@ -8,10 +11,9 @@ function QuantumStateSamplingProblem( ψ_goals::AbstractVector{<:AbstractVector{<:AbstractVector{<:ComplexF64}}}, T::Int, Δt::Union{Float64,Vector{Float64}}; + ket_integrator=KetIntegrator, system_weights=fill(1.0, length(systems)), init_trajectory::Union{NamedTrajectory,Nothing}=nothing, - ipopt_options::IpoptOptions=IpoptOptions(), - piccolo_options::PiccoloOptions=PiccoloOptions(), state_name::Symbol=:ψ̃, control_name::Symbol=:a, timestep_name::Symbol=:Δt, @@ -29,12 +31,17 @@ function QuantumStateSamplingProblem( R_a::Union{Float64,Vector{Float64}}=R, R_da::Union{Float64,Vector{Float64}}=R, R_dda::Union{Float64,Vector{Float64}}=R, - leakage_indices::Union{Nothing, <:AbstractVector{Int}}=nothing, constraints::Vector{<:AbstractConstraint}=AbstractConstraint[], - kwargs... + piccolo_options::PiccoloOptions=PiccoloOptions(), ) @assert length(ψ_inits) == length(ψ_goals) + if piccolo_options.verbose + println(" constructing QuantumStateSamplingProblem...") + println("\tusing integrator: $(typeof(ket_integrator))") + println("\tusing $(length(ψ_inits)) initial state(s)") + end + # Outer dimension is the system, inner dimension is the initial state state_names = [ [Symbol(string(state_name) * "$(i)_system_$(j)") for i in eachindex(ψs)] @@ -56,21 +63,17 @@ function QuantumStateSamplingProblem( state_names=names, control_name=control_name, timestep_name=timestep_name, - free_time=piccolo_options.free_time, Δt_bounds=(Δt_min, Δt_max), + zero_initial_and_final_derivative=piccolo_options.zero_initial_and_final_derivative, bound_state=piccolo_options.bound_state, a_guess=a_guess, system=sys, rollout_integrator=piccolo_options.rollout_integrator, - verbose=piccolo_options.verbose + verbose=false # loop ) end - traj = merge( - trajs, - merge_names=(; a=1, da=1, dda=1, Δt=1), - free_time=piccolo_options.free_time - ) + traj = merge(trajs, merge_names=(; a=1, da=1, dda=1, Δt=1),free_time=true) end control_names = [ @@ -79,46 +82,34 @@ function QuantumStateSamplingProblem( ] # Objective - J = QuadraticRegularizer(control_names[1], traj, R_a; timestep_name=timestep_name) - J += QuadraticRegularizer(control_names[2], traj, R_da; timestep_name=timestep_name) - J += QuadraticRegularizer(control_names[3], traj, R_dda; timestep_name=timestep_name) + J = QuadraticRegularizer(control_names[1], traj, R_a) + J += QuadraticRegularizer(control_names[2], traj, R_da) + J += QuadraticRegularizer(control_names[3], traj, R_dda) for (weight, names) in zip(system_weights, state_names) for name in names - J += weight * QuantumStateObjective(name, traj, Q) + J += KetInfidelityLoss(name, traj, Q=weight * Q) end end # Optional Piccolo constraints and objectives apply_piccolo_options!( J, constraints, piccolo_options, traj, state_name, timestep_name; - state_leakage_indices=leakage_indices + state_leakage_indices=piccolo_options.state_leakage_indices ) # Integrators state_integrators = [] - for (system, names) ∈ zip(systems, state_names) + for (sys, names) ∈ zip(systems, state_names) for name ∈ names - if piccolo_options.integrator == :pade - state_integrator = QuantumStatePadeIntegrator( - name, control_name, system, traj; - order=piccolo_options.pade_order - ) - elseif piccolo_options.integrator == :exponential - state_integrator = QuantumStateExponentialIntegrator( - name, control_name, system, traj - ) - else - error("integrator must be one of (:pade, :exponential)") - end - push!(state_integrators, state_integrator) + push!(state_integrators, ket_integrator(sys, traj, name, control_name)) end end integrators = [ state_integrators..., - DerivativeIntegrator(control_name, control_names[2], traj), - DerivativeIntegrator(control_names[2], control_names[3], traj), + DerivativeIntegrator(traj, control_name, control_names[2]), + DerivativeIntegrator(traj, control_names[2], control_names[3]), ] return DirectTrajOptProblem( @@ -126,10 +117,6 @@ function QuantumStateSamplingProblem( J, integrators; constraints=constraints, - ipopt_options=ipopt_options, - piccolo_options=piccolo_options, - control_name=control_name, - kwargs... ) end @@ -156,88 +143,74 @@ function QuantumStateSamplingProblem( args...; kwargs... ) + # Broadcast the initial and target states to all systems return QuantumStateSamplingProblem(systems, [ψ_init], [ψ_goal], args...; kwargs...) end # *************************************************************************** # @testitem "Sample systems with single initial, target" begin - # System T = 50 Δt = 0.2 sys1 = QuantumSystem(0.3 * GATES[:Z], [GATES[:X], GATES[:Y]]) sys2 = QuantumSystem(-0.3 * GATES[:Z], [GATES[:X], GATES[:Y]]) - - # Single initial and target states - # -------------------------------- ψ_init = Vector{ComplexF64}([1.0, 0.0]) ψ_target = Vector{ComplexF64}([0.0, 1.0]) - + prob = QuantumStateSamplingProblem( [sys1, sys2], ψ_init, ψ_target, T, Δt; - ipopt_options=IpoptOptions(print_level=1), piccolo_options=PiccoloOptions(verbose=false) ) - + state_name = :ψ̃ state_names = [n for n ∈ prob.trajectory.names if startswith(string(n), string(state_name))] - sys1_state_names = [n for n ∈ state_names if endswith(string(n), "1")] - + sys_state_names = [n for n ∈ state_names if endswith(string(n), "1")] + # Separately compute all unique initial and goal state fidelities - init = [rollout_fidelity(prob.trajectory, sys1; state_name=n) for n in sys1_state_names] - solve!(prob, max_iter=20) - final = [rollout_fidelity(prob.trajectory, sys1, state_name=n) for n in sys1_state_names] - @test all(final .> init) - - # Check that a_guess can be used - prob = QuantumStateSamplingProblem( - [sys1, sys2], ψ_init, ψ_target, T, Δt; - ipopt_options=IpoptOptions(print_level=1), - piccolo_options=PiccoloOptions(verbose=false), - a_guess=prob.trajectory.a - ) - solve!(prob, max_iter=20) - - # Compare a (very smooth) solution without robustness - # ------------------------------------- - prob_default = QuantumStateSmoothPulseProblem( - sys2, ψ_init, ψ_target, T, Δt; - ipopt_options=IpoptOptions(print_level=1), - piccolo_options=PiccoloOptions(verbose=false), - R_dda=1e2, - robustness=false - ) - solve!(prob_default, max_iter=20) - final_default = rollout_fidelity(prob_default.trajectory, sys1) - # Pick any initial state - final_robust = rollout_fidelity(prob.trajectory, sys1, state_name=state_names[1]) - @test final_robust > final_default + inits = [] + for sys in [sys1, sys2] + push!(inits, [rollout_fidelity(prob.trajectory, sys; state_name=n) for n in state_names]) + end + + solve!(prob, max_iter=20, print_level=1, verbose=false) + + for (init, sys) in zip(inits, [sys1, sys2]) + final = [rollout_fidelity(prob.trajectory, sys, state_name=n) for n in state_names] + @test all(final .> init) + end end @testitem "Sample systems with multiple initial, target" begin - # System T = 50 Δt = 0.2 sys1 = QuantumSystem(0.3 * GATES[:Z], [GATES[:X], GATES[:Y]]) - sys2 = QuantumSystem(0.0 * GATES[:Z], [GATES[:X], GATES[:Y]]) - + sys2 = QuantumSystem(-0.3 * GATES[:Z], [GATES[:X], GATES[:Y]]) + # Multiple initial and target states - # ---------------------------------- ψ_inits = Vector{ComplexF64}.([[1.0, 0.0], [0.0, 1.0]]) ψ_targets = Vector{ComplexF64}.([[0.0, 1.0], [1.0, 0.0]]) - + prob = QuantumStateSamplingProblem( [sys1, sys2], ψ_inits, ψ_targets, T, Δt; - ipopt_options=IpoptOptions(print_level=1), piccolo_options=PiccoloOptions(verbose=false) ) - + state_name = :ψ̃ state_names = [n for n ∈ prob.trajectory.names if startswith(string(n), string(state_name))] - sys1_state_names = [n for n ∈ state_names if endswith(string(n), "1")] - - init = [rollout_fidelity(prob.trajectory, sys1, state_name=n) for n in sys1_state_names] - solve!(prob, max_iter=20) - final = [rollout_fidelity(prob.trajectory, sys1, state_name=n) for n in sys1_state_names] - @test all(final .> init) + sys_state_names = [n for n ∈ state_names if endswith(string(n), "1")] + + # Separately compute all unique initial and goal state fidelities + inits = [] + for sys in [sys1, sys2] + push!(inits, [rollout_fidelity(prob.trajectory, sys; state_name=n) for n in state_names]) + end + + solve!(prob, max_iter=20, print_level=1, verbose=false) + + for (init, sys) in zip(inits, [sys1, sys2]) + final = [rollout_fidelity(prob.trajectory, sys, state_name=n) for n in state_names] + @test all(final .> init) + end end + +# TODO: Test that a_guess can be used diff --git a/src/problem_templates/quantum_state_smooth_pulse_problem.jl b/src/problem_templates/quantum_state_smooth_pulse_problem.jl index 7168f2d1..8d1b82f3 100644 --- a/src/problem_templates/quantum_state_smooth_pulse_problem.jl +++ b/src/problem_templates/quantum_state_smooth_pulse_problem.jl @@ -6,9 +6,10 @@ export QuantumStateSmoothPulseProblem QuantumStateSmoothPulseProblem(system, ψ_init, ψ_goal, T, Δt; kwargs...) QuantumStateSmoothPulseProblem(H_drift, H_drives, args...; kwargs...) -Create a quantum state smooth pulse problem. The goal is to find a control pulse -`a(t)` that drives all of the initial states `ψ_inits` to the corresponding -target states `ψ_goals` using `T` timesteps of size `Δt`. This problem also controls the first and second derivatives of the control pulse, `da(t)` and `dda(t)`, to ensure smoothness. +Create a quantum state smooth pulse problem. The goal is to find a control pulse `a(t)` +that drives all of the initial states `ψ_inits` to the corresponding target states +`ψ_goals` using `T` timesteps of size `Δt`. This problem also controls the first and +second derivatives of the control pulse, `da(t)` and `dda(t)`, to ensure smoothness. # Arguments - `system::AbstractQuantumSystem`: The quantum system. @@ -27,8 +28,6 @@ with # Keyword Arguments -- `ipopt_options::IpoptOptions=IpoptOptions()`: The IPOPT options. -- `piccolo_options::PiccoloOptions=PiccoloOptions()`: The Piccolo options. - `state_name::Symbol=:ψ̃`: The name of the state variable. - `control_name::Symbol=:a`: The name of the control variable. - `timestep_name::Symbol=:Δt`: The name of the timestep variable. @@ -38,7 +37,6 @@ with - `a_guess::Union{Matrix{Float64}, Nothing}=nothing`: The initial guess for the control pulse. - `da_bound::Float64=Inf`: The bound on the first derivative of the control pulse. - `da_bounds::Vector{Float64}=fill(da_bound, length(system.G_drives))`: The bounds on the first derivative of the control pulse. -- `zero_initial_and_final_derivative::Bool=false`: Whether to enforce zero initial and final derivative. - `dda_bound::Float64=1.0`: The bound on the second derivative of the control pulse. - `dda_bounds::Vector{Float64}=fill(dda_bound, length(system.G_drives))`: The bounds on the second derivative of the control pulse. - `Δt_min::Float64=0.5 * Δt`: The minimum timestep size. @@ -49,8 +47,8 @@ with - `R_a::Union{Float64, Vector{Float64}}=R`: The weight on the control pulse. - `R_da::Union{Float64, Vector{Float64}}=R`: The weight on the first derivative of the control pulse. - `R_dda::Union{Float64, Vector{Float64}}=R`: The weight on the second derivative of the control pulse. -- `leakage_operator::Union{Nothing, EmbeddedOperator}=nothing`: The leakage operator, if leakage suppression is desired. - `constraints::Vector{<:AbstractConstraint}=AbstractConstraint[]`: The constraints. +- `piccolo_options::PiccoloOptions=PiccoloOptions()`: The Piccolo options. """ function QuantumStateSmoothPulseProblem end @@ -61,7 +59,6 @@ function QuantumStateSmoothPulseProblem( T::Int, Δt::Union{Float64, <:AbstractVector{Float64}}; ket_integrator=KetIntegrator, - piccolo_options::PiccoloOptions=PiccoloOptions(), state_name::Symbol=:ψ̃, control_name::Symbol=:a, timestep_name::Symbol=:Δt, @@ -71,23 +68,26 @@ function QuantumStateSmoothPulseProblem( a_guess::Union{Matrix{Float64}, Nothing}=nothing, da_bound::Float64=Inf, da_bounds::Vector{Float64}=fill(da_bound, sys.n_drives), - zero_initial_and_final_derivative::Bool=false, dda_bound::Float64=1.0, dda_bounds::Vector{Float64}=fill(dda_bound, sys.n_drives), Δt_min::Float64=0.001 * Δt, Δt_max::Float64=2.0 * Δt, - drive_derivative_σ::Float64=0.01, Q::Float64=100.0, R=1e-2, R_a::Union{Float64, Vector{Float64}}=R, R_da::Union{Float64, Vector{Float64}}=R, R_dda::Union{Float64, Vector{Float64}}=R, - leakage_indices::Union{Nothing, <:AbstractVector{Int}}=nothing, constraints::Vector{<:AbstractConstraint}=AbstractConstraint[], - kwargs... + piccolo_options::PiccoloOptions=PiccoloOptions(), ) @assert length(ψ_inits) == length(ψ_goals) + if piccolo_options.verbose + println(" constructing QuantumStateSmoothPulseProblem...") + println("\tusing integrator: $(typeof(ket_integrator))") + println("\tusing $(length(ψ_inits)) initial state(s)") + end + # Trajectory if !isnothing(init_trajectory) traj = init_trajectory @@ -102,11 +102,9 @@ function QuantumStateSmoothPulseProblem( state_name=state_name, control_name=control_name, timestep_name=timestep_name, - zero_initial_and_final_derivative=zero_initial_and_final_derivative, - free_time=piccolo_options.free_time, + zero_initial_and_final_derivative=piccolo_options.zero_initial_and_final_derivative, Δt_bounds=(Δt_min, Δt_max), bound_state=piccolo_options.bound_state, - drive_derivative_σ=drive_derivative_σ, a_guess=a_guess, system=sys, rollout_integrator=piccolo_options.rollout_integrator, @@ -136,7 +134,7 @@ function QuantumStateSmoothPulseProblem( # Optional Piccolo constraints and objectives apply_piccolo_options!( J, constraints, piccolo_options, traj, state_name, timestep_name; - state_leakage_indices=leakage_indices + state_leakage_indices=piccolo_options.state_leakage_indices ) state_names = [ @@ -190,78 +188,25 @@ end # *************************************************************************** # @testitem "Test quantum state smooth pulse" begin - # System - T = 50 + T = 51 Δt = 0.2 sys = QuantumSystem(0.1 * GATES[:Z], [GATES[:X], GATES[:Y]]) ψ_init = Vector{ComplexF64}([1.0, 0.0]) ψ_target = Vector{ComplexF64}([0.0, 1.0]) - + # Single initial and target states # -------------------------------- prob = QuantumStateSmoothPulseProblem( sys, ψ_init, ψ_target, T, Δt; - ipopt_options=IpoptOptions(print_level=1), piccolo_options=PiccoloOptions(verbose=false) ) initial = rollout_fidelity(prob.trajectory, sys) - solve!(prob, max_iter=50) + solve!(prob, max_iter=50, print_level=1, verbose=false) final = rollout_fidelity(prob.trajectory, sys) @test final > initial - - # Multiple initial and target states - # ---------------------------------- - ψ_inits = Vector{ComplexF64}.([[1.0, 0.0], [0.0, 1.0]]) - ψ_targets = Vector{ComplexF64}.([[0.0, 1.0], [1.0, 0.0]]) - prob = QuantumStateSmoothPulseProblem( - sys, ψ_inits, ψ_targets, T, Δt; - ipopt_options=IpoptOptions(print_level=1), - piccolo_options=PiccoloOptions(verbose=false) - ) - initial = rollout_fidelity(prob.trajectory, sys) - solve!(prob, max_iter=50) - final = rollout_fidelity(prob.trajectory, sys) - @test all(final .> initial) end -@testitem "Test quantum state smooth pulse w/ exponential integrator" begin - # System - T = 50 - Δt = 0.2 - sys = QuantumSystem(0.1 * GATES[:Z], [GATES[:X], GATES[:Y]]) - ψ_init = Vector{ComplexF64}([1.0, 0.0]) - ψ_target = Vector{ComplexF64}([0.0, 1.0]) - integrator=:exponential - - # Single initial and target states - # -------------------------------- - prob = QuantumStateSmoothPulseProblem( - sys, ψ_init, ψ_target, T, Δt; - ipopt_options=IpoptOptions(print_level=1), - piccolo_options=PiccoloOptions(verbose=false, integrator=integrator) - ) - initial = rollout_fidelity(prob.trajectory, sys) - solve!(prob, max_iter=20) - final = rollout_fidelity(prob.trajectory, sys) - @test final > initial - - # Multiple initial and target states - # ---------------------------------- - ψ_inits = Vector{ComplexF64}.([[1.0, 0.0], [0.0, 1.0]]) - ψ_targets = Vector{ComplexF64}.([[0.0, 1.0], [1.0, 0.0]]) - prob = QuantumStateSmoothPulseProblem( - sys, ψ_inits, ψ_targets, T, Δt; - ipopt_options=IpoptOptions(print_level=1), - piccolo_options=PiccoloOptions(verbose=false, integrator=integrator) - ) - initial = rollout_fidelity(prob.trajectory, sys) - solve!(prob, max_iter=20) - final = rollout_fidelity(prob.trajectory, sys) - @test all(final .> initial) -end - -@testitem "Test quantum state with multiple initial states and final states" begin - # System +@testitem "Test multiple quantum states smooth pulse" begin T = 50 Δt = 0.2 sys = QuantumSystem(0.1 * GATES[:Z], [GATES[:X], GATES[:Y]]) @@ -270,14 +215,11 @@ end prob = QuantumStateSmoothPulseProblem( sys, ψ_inits, ψ_targets, T, Δt; - ipopt_options=IpoptOptions(print_level=1), - piccolo_options=PiccoloOptions(verbose=false), - state_name=:psi, - control_name=:u, - timestep_name=:dt + piccolo_options=PiccoloOptions(verbose=false) ) initial = rollout_fidelity(prob.trajectory, sys) - solve!(prob, max_iter=20) + solve!(prob, max_iter=50, print_level=1, verbose=false) final = rollout_fidelity(prob.trajectory, sys) + final, initial @test all(final .> initial) end diff --git a/src/problem_templates/unitary_bang_bang_problem.jl b/src/problem_templates/unitary_bang_bang_problem.jl deleted file mode 100644 index b1533af2..00000000 --- a/src/problem_templates/unitary_bang_bang_problem.jl +++ /dev/null @@ -1,264 +0,0 @@ -export UnitaryBangBangProblem - - -@doc raw""" - UnitaryBangBangProblem(system::QuantumSystem, operator, T, Δt; kwargs...) - UnitaryBangBangProblem(H_drift, H_drives, operator, T, Δt; kwargs...) - -Construct a `DirectTrajOptProblem` for a free-time unitary gate problem with bang-bang control pulses. - -```math -\begin{aligned} -\underset{\vec{\tilde{U}}, a, \dot{a}, \Delta t}{\text{minimize}} & \quad -Q \cdot \ell\qty(\vec{\tilde{U}}_T, \vec{\tilde{U}}_{\text{goal}}) + R_{\text{bang-bang}} \cdot \sum_t |\dot{a}_t| \\ -\text{ subject to } & \quad \vb{P}^{(n)}\qty(\vec{\tilde{U}}_{t+1}, \vec{\tilde{U}}_t, a_t, \Delta t_t) = 0 \\ -& \quad a_{t+1} - a_t - \dot{a}_t \Delta t_t = 0 \\ -& \quad |a_t| \leq a_{\text{bound}} \\ -& \quad |\dot{a}_t| \leq da_{\text{bound}} \\ -& \quad \Delta t_{\text{min}} \leq \Delta t_t \leq \Delta t_{\text{max}} \\ -\end{aligned} -``` - -where, for $U \in SU(N)$, - -```math -\ell\qty(\vec{\tilde{U}}_T, \vec{\tilde{U}}_{\text{goal}}) = -\abs{1 - \frac{1}{N} \abs{ \tr \qty(U_{\text{goal}}, U_T)} } -``` - -is the *infidelity* objective function, $Q$ is a weight, $R_a$, and $R_{\dot{a}}$ are weights on the regularization terms, and $\vb{P}^{(n)}$ is the $n$th-order Pade integrator. - -TODO: Document bang-bang modification. - -# Arguments - -- `H_drift::AbstractMatrix{<:Number}`: the drift hamiltonian -- `H_drives::Vector{<:AbstractMatrix{<:Number}}`: the control hamiltonians -or -- `system::QuantumSystem`: the system to be controlled -with -- `operator::AbstractPiccoloOperator`: the target unitary, either in the form of an `EmbeddedOperator` or a `Matrix{ComplexF64} -- `T::Int`: the number of timesteps -- `Δt::Float64`: the (initial) time step size - -# Keyword Arguments -- `ipopt_options::IpoptOptions=IpoptOptions()`: the options for the Ipopt solver -- `piccolo_options::PiccoloOptions=PiccoloOptions()`: the options for the Piccolo solver -- `state_name::Symbol = :Ũ⃗`: the name of the state variable -- `control_name::Symbol = :a`: the name of the control variable -- `timestep_name::Symbol = :Δt`: the name of the timestep variable -- `init_trajectory::Union{NamedTrajectory, Nothing}=nothing`: an initial trajectory to use -- `a_bound::Float64=1.0`: the bound on the control pulse -- `a_bounds=fill(a_bound, length(system.G_drives))`: the bounds on the control pulses, one for each drive -- `a_guess::Union{Matrix{Float64}, Nothing}=nothing`: an initial guess for the control pulses -- `da_bound::Float64=1.0`: the bound on the control pulse derivative -- `da_bounds=fill(da_bound, length(system.G_drives))`: the bounds on the control pulse derivatives, one for each drive -- `Δt_min::Float64=Δt isa Float64 ? 0.5 * Δt : 0.5 * mean(Δt)`: the minimum time step size -- `Δt_max::Float64=Δt isa Float64 ? 1.5 * Δt : 1.5 * mean(Δt)`: the maximum time step size -- `drive_derivative_σ::Float64=0.01`: the standard deviation of the initial guess for the control pulse derivatives -- `Q::Float64=100.0`: the weight on the infidelity objective -- `R=1e-2`: the weight on the regularization terms -- `quadratic_control_regularization=false`: whether or not to use quadratic regularization for the control pulses -- `R_a::Union{Float64, Vector{Float64}}=R`: the weight on the regularization term for the control pulses -- `R_da::Union{Float64, Vector{Float64}}=R`: the weight on the regularization term for the control pulse derivatives -- `R_bang_bang::Union{Float64, Vector{Float64}}=1e-1`: the weight on the bang-bang regularization term -- `phase_operators::Union{AbstractVector{<:AbstractMatrix}, Nothing}=nothing`: the phase operators for free phase corrections -- `constraints::Vector{<:AbstractConstraint}=AbstractConstraint[]`: the constraints to enforce -""" -function UnitaryBangBangProblem end - -function UnitaryBangBangProblem( - system::AbstractQuantumSystem, - operator::AbstractPiccoloOperator, - T::Int, - Δt::Union{Float64, Vector{Float64}}; - piccolo_options::PiccoloOptions=PiccoloOptions(), - state_name::Symbol = :Ũ⃗, - control_name::Symbol = :a, - timestep_name::Symbol = :Δt, - init_trajectory::Union{NamedTrajectory, Nothing}=nothing, - a_bound::Float64=1.0, - a_bounds=fill(a_bound, system.n_drives), - a_guess::Union{Matrix{Float64}, Nothing}=nothing, - da_bound::Float64=1.0, - da_bounds=fill(da_bound, system.n_drives), - Δt_min::Float64=Δt isa Float64 ? 0.5 * Δt : 0.5 * mean(Δt), - Δt_max::Float64=Δt isa Float64 ? 1.5 * Δt : 1.5 * mean(Δt), - Q::Float64=100.0, - R=1e-2, - R_a::Union{Float64, Vector{Float64}}=R, - R_da::Union{Float64, Vector{Float64}}=0.0, - R_bang_bang::Union{Float64, Vector{Float64}}=1e-1, - phase_name::Symbol=:ϕ, - phase_operators::Union{AbstractVector{<:AbstractMatrix}, Nothing}=nothing, - constraints::Vector{<:AbstractConstraint}=AbstractConstraint[], - kwargs... -) - # Trajectory - if !isnothing(init_trajectory) - traj = init_trajectory - else - traj = initialize_trajectory( - operator, - T, - Δt, - system.n_drives, - (a_bounds, da_bounds); - state_name=state_name, - control_name=control_name, - timestep_name=timestep_name, - free_time=piccolo_options.free_time, - Δt_bounds=(Δt_min, Δt_max), - geodesic=piccolo_options.geodesic, - bound_state=piccolo_options.bound_state, - a_guess=a_guess, - system=system, - rollout_integrator=piccolo_options.rollout_integrator, - phase_name=phase_name, - phase_operators=phase_operators - ) - end - - subspace = operator isa EmbeddedOperator ? operator.subspace_indices : nothing - - # Objective - if isnothing(phase_operators) - J = UnitaryInfidelityObjective(state_name, traj, Q; - subspace=subspace, - ) - else - J = UnitaryFreePhaseInfidelityObjective( - state_name, phase_name, phase_operators, traj, Q; - subspace=subspace, - eval_hessian=piccolo_options.eval_hessian, - ) - end - - control_names = [ - name for name ∈ traj.names - if endswith(string(name), string(control_name)) - ] - - J += QuadraticRegularizer(control_names[1], traj, R_a; timestep_name=timestep_name) - # Default to R_da = 0.0 because L1 is turned on by this problem. - J += QuadraticRegularizer(control_names[2], traj, R_da; timestep_name=timestep_name) - - # Constraints - if R_bang_bang isa Float64 - R_bang_bang = fill(R_bang_bang, system.n_drives) - end - J += L1Regularizer!( - constraints, control_names[2], traj, - R=R_bang_bang, eval_hessian=piccolo_options.eval_hessian - ) - - # Optional Piccolo constraints and objectives - apply_piccolo_options!(J, constraints, piccolo_options, traj, state_name, timestep_name; - state_leakage_indices=operator isa EmbeddedOperator ? get_leakage_indices(operator) : nothing - ) - - # Integrators - if piccolo_options.integrator == :pade - unitary_integrator = - UnitaryPadeIntegrator(state_name, control_names[1], system, traj; order=piccolo_options.pade_order) - elseif piccolo_options.integrator == :exponential - unitary_integrator = - UnitaryExponentialIntegrator(state_name, control_names[1], system, traj) - else - error("integrator must be one of (:pade, :exponential)") - end - - integrators = [ - unitary_integrator, - DerivativeIntegrator(control_names[1], control_names[2], traj), - ] - - return DirectTrajOptProblem( - traj, - J, - integrators; - constraints=constraints, - ipopt_options=ipopt_options, - piccolo_options=piccolo_options, - control_name=control_name, - kwargs... - ) -end - -function UnitaryBangBangProblem( - H_drift::AbstractMatrix{<:Number}, - H_drives::Vector{<:AbstractMatrix{<:Number}}, - args...; - kwargs... -) - system = QuantumSystem(H_drift, H_drives) - return UnitaryBangBangProblem(system, args...; kwargs...) -end - -# *************************************************************************** # - -@testitem "Bang-bang Hadamard gate" begin - sys = QuantumSystem(0.01 * GATES[:Z], [GATES[:X], GATES[:Y]]) - U_goal = GATES[:H] - T = 51 - Δt = 0.2 - - ipopt_options = IpoptOptions(print_level=1, max_iter=25) - piccolo_options = PiccoloOptions(verbose=false, pade_order=12) - - prob = UnitaryBangBangProblem( - sys, U_goal, T, Δt, - R_bang_bang=10., - ipopt_options=ipopt_options, - piccolo_options=piccolo_options, - control_name=:u - ) - - smooth_prob = UnitarySmoothPulseProblem( - sys, U_goal, T, Δt; - ipopt_options=ipopt_options, - piccolo_options=piccolo_options, - control_name=:u - ) - initial = unitary_rollout_fidelity(prob.trajectory, sys; drive_name=:u) - solve!(prob) - final = unitary_rollout_fidelity(prob.trajectory, sys; drive_name=:u) - @test final > initial - solve!(smooth_prob) - threshold = 1e-3 - a_sparse = sum(prob.trajectory.du .> 5e-2) - a_dense = sum(smooth_prob.trajectory.du .> 5e-2) - @test a_sparse < a_dense -end - -@testitem "Free phase Y gate using X" begin - using Random - Random.seed!(1234) - phase_name = :ϕ - phase_operators = [PAULIS[:Z]] - - sys = QuantumSystem([PAULIS[:X]]) - - prob = UnitaryBangBangProblem( - sys, GATES[:Y], 51, 0.2; - phase_operators=phase_operators, - phase_name=phase_name, - ipopt_options=IpoptOptions(print_level=1), - piccolo_options=PiccoloOptions(verbose=false, free_time=false) - ) - - before = prob.trajectory.global_data[phase_name] - solve!(prob, max_iter=20) - after = prob.trajectory.global_data[phase_name] - - @test before ≠ after - - @test unitary_rollout_fidelity( - prob.trajectory, - sys; - phases=prob.trajectory.global_data[phase_name], - phase_operators=phase_operators - ) > 0.9 - - @test unitary_rollout_fidelity(prob.trajectory, sys) < 0.9 -end diff --git a/src/problem_templates/unitary_direct_sum_problem.jl b/src/problem_templates/unitary_direct_sum_problem.jl deleted file mode 100644 index 9b711be5..00000000 --- a/src/problem_templates/unitary_direct_sum_problem.jl +++ /dev/null @@ -1,273 +0,0 @@ -export UnitaryDirectSumProblem - - -@doc """ - UnitaryDirectSumProblem(probs, final_fidelity; kwargs...) - -Construct a `DirectTrajOptProblem` as a direct sum of unitary gate problems. The -purpose is to find solutions that are as close as possible with respect to one of -their components. In particular, this is useful for finding interpolatable control solutions. - -A graph of edges (specified by problem labels) will enforce a `PairwiseQuadraticRegularizer` between -the component trajectories of the problem in `probs` corresponding to the names of the edge in `edges` -with corresponding edge weight `Q`. - -Boundary values can be included to enforce a `QuadraticRegularizer` on edges where one of the nodes is -not optimized. The boundary values are specified as a dictionary with keys corresponding to the edge -labels and values corresponding to the boundary values. - -The default behavior is to use a 1D chain for the graph, i.e., enforce a `PairwiseQuadraticRegularizer` -between each neighbor of the provided `probs`. - -# Arguments -- `probs::AbstractVector{<:DirectTrajOptProblem}`: the problems to combine -- `final_fidelity::Real`: the fidelity to enforce between the component final unitaries and the component goal unitaries - -# Keyword Arguments -- `prob_labels::AbstractVector{<:String}}`: the labels for the problems -- graph::Union{Nothing, AbstractVector{<:Tuple{String, String}}, AbstractVector{<:Tuple{Symbol, Symbol}}}`: the graph of edges to enforce -- `boundary_values::Union{Nothing, AbstractDict{<:String, <:AbstractArray}, AbstractDict{<:Symbol, <:AbstractVector}}=nothing`: the boundary values for the problems -- `Q::Union{Float64, Vector{Float64}}=100.0`: the weights on the pairwise regularizers -- `Q_symb::Symbol=:Ũ⃗`: the symbol to use for the regularizer -- `R::Float64=1e-2`: the shared weight on all control terms (:a, :da, :dda is assumed) -- `R_a::Union{Float64, Vector{Float64}}=R`: the weight on the regularization term for the control pulses -- `R_da::Union{Float64, Vector{Float64}}=R`: the weight on the regularization term for the control pulse derivatives -- `R_dda::Union{Float64, Vector{Float64}}=R`: the weight on the regularization term for the control pulse second derivatives -- `R_b::Union{Float64, Vector{Float64}}=R`: the weight on the regularization term for the boundary values -- `drive_derivative_σ::Float64=0.01`: the standard deviation of the initial guess for the control pulse derivatives -- `drive_reset_ratio::Float64=0.1`: amount of random noise to add to the control data (can help avoid hitting restoration if provided problems are converged) -- `fidelity_cost::Bool=false`: whether or not to include a fidelity cost in the objective -- `subspace::Union{AbstractVector{<:Integer}, Nothing}=nothing`: the subspace to use for the fidelity of each problem -- `ipopt_options::IpoptOptions=IpoptOptions()`: the options for the Ipopt solver -- `piccolo_options::PiccoloOptions=PiccoloOptions()`: the options for the Piccolo solver - -""" -function UnitaryDirectSumProblem( - probs::AbstractVector{<:DirectTrajOptProblem}, - final_fidelity::Real; - prob_labels::AbstractVector{<:String}=[string(i) for i ∈ 1:length(probs)], - graph::Union{Nothing, AbstractVector{<:Tuple{String, String}}, AbstractVector{<:Tuple{Symbol, Symbol}}}=nothing, - boundary_values::Union{AbstractDict{<:String, <:AbstractArray}, AbstractDict{<:Symbol, <:AbstractArray}}=Dict{String, Array}(), - control_name::Symbol=:a, - Q::Union{Float64, Vector{Float64}}=100.0, - Q_symb::Symbol=:dda, - R::Float64=1e-2, - R_a::Union{Float64, Vector{Float64}}=R, - R_da::Union{Float64, Vector{Float64}}=R, - R_dda::Union{Float64, Vector{Float64}}=R, - R_b::Union{Float64, Vector{Float64}}=R, - drive_derivative_σ::Float64=0.01, - drive_reset_ratio::Float64=0.50, - fidelity_cost::Bool=false, - subspace::Union{AbstractVector{<:Integer}, Nothing}=nothing, - ipopt_options::IpoptOptions=deepcopy(probs[1].ipopt_options), - piccolo_options::PiccoloOptions=deepcopy(probs[1].piccolo_options), - kwargs... -) - N = length(probs) - @assert length(prob_labels) == N "prob_labels must match length of probs" - @assert N ≥ 2 "At least two problems are required" - @assert 0 ≤ drive_reset_ratio ≤ 1 "drive_reset_ratio must be in [0, 1]" - @assert isempty(intersect(keys(boundary_values), prob_labels)) "Boundary value keys cannot be in prob_labels" - @assert all([:dda ∈ p.trajectory.names for p in probs]) "Only smooth pulse problems are supported." - n_derivatives = 2 - - # Default chain graph and boundary - boundary = Tuple{Symbol, Array}[] - if isnothing(graph) - graph = [ - (add_suffix(Q_symb, i), add_suffix(Q_symb, j)) - for (i, j) ∈ zip(prob_labels[1:N-1], prob_labels[2:N]) - ] - else - # Check that String edge labels are in prob_labels or boundary, and make Symbols - if eltype(eltype(graph)) == String - graph_symbols = Tuple{Symbol, Symbol}[] - for edge in graph - if edge[1] in prob_labels && edge[2] in prob_labels - push!(graph_symbols, (add_suffix(Q_symb, edge[1]), add_suffix(Q_symb, edge[2]))) - elseif edge[1] in keys(boundary_values) && edge[2] in prob_labels - push!(boundary, (add_suffix(Q_symb, edge[2]), boundary_values[edge[1]])) - elseif edge[1] in prob_labels && edge[2] in keys(boundary_values) - push!(boundary, (add_suffix(Q_symb, edge[1]), boundary_values[edge[2]])) - else - throw(ArgumentError("Edge labels must be in prob_labels or boundary_values")) - end - end - graph = graph_symbols - end - end - - # Build the direct sum system - - # merge suffix trajectories - traj = merge([add_suffix(p.trajectory, ℓ) for (p, ℓ) ∈ zip(probs, prob_labels)]) - - # add noise to control data (avoid restoration) - if drive_reset_ratio > 0 - for ℓ in prob_labels - a_symb, da_symb, dda_symb = add_suffix(:a, ℓ), add_suffix(:da, ℓ), add_suffix(:dda, ℓ) - n_drives = length(traj.components[a_symb]) - a, da, dda = TrajectoryInitialization.initialize_control_trajectory( - n_drives, - n_derivatives, - traj.T, - traj.bounds[a_symb], - drive_derivative_σ - ) - update!(traj, a_symb, (1 - drive_reset_ratio) * traj[a_symb] + drive_reset_ratio * a) - update!(traj, da_symb, (1 - drive_reset_ratio) * traj[da_symb] + drive_reset_ratio * da) - update!(traj, dda_symb, (1 - drive_reset_ratio) * traj[dda_symb] + drive_reset_ratio * dda) - end - end - - # Rebuild integrators - integrators = vcat([ - add_suffix(p.integrators, ℓ, p.trajectory, traj) - for (p, ℓ) ∈ zip(probs, prob_labels) - ]...) - - # Rebuild trajectory constraints - constraints = AbstractConstraint[] - - # Add goal constraints for each problem - for (p, ℓ) ∈ zip(probs, prob_labels) - goal_symb, = keys(p.trajectory.goal) - fidelity_constraint = FinalUnitaryFidelityConstraint( - add_suffix(goal_symb, ℓ), - final_fidelity, - traj, - subspace=subspace, - eval_hessian=piccolo_options.eval_hessian - ) - push!(constraints, fidelity_constraint) - end - - # Build the objective function - J = PairwiseQuadraticRegularizer(traj, Q, graph) - - for (symb, val) ∈ boundary - J += QuadraticRegularizer(symb, traj, R_b; baseline=val) - end - - for ℓ ∈ prob_labels - J += QuadraticRegularizer(add_suffix(:a, ℓ), traj, R_a) - J += QuadraticRegularizer(add_suffix(:da, ℓ), traj, R_da) - J += QuadraticRegularizer(add_suffix(:dda, ℓ), traj, R_dda) - end - - # Add fidelity cost - if fidelity_cost - for ℓ ∈ prob_labels - Q_fid = isa(Q, Number) ? Q : Q[1] - J += UnitaryInfidelityObjective( - add_suffix(:Ũ⃗, ℓ), traj, Q_fid, - subspace=subspace, - eval_hessian=piccolo_options.eval_hessian - ) - end - end - - return DirectTrajOptProblem( - traj, - J, - integrators; - constraints=constraints, - ipopt_options=ipopt_options, - piccolo_options=piccolo_options, - control_name=control_name, - kwargs... - ) -end - - -# *************************************************************************** # - -@testitem "Construct direct sum problem" begin - using DirectTrajOpt - using PiccoloQuantumObjects - sys = QuantumSystem(0.01 * GATES[:Z], [GATES[:X], GATES[:Y]]) - U_goal1 = GATES[:X] - U_ε = haar_identity(2, 0.33) - U_goal2 = U_ε'GATES[:X]*U_ε - T = 50 - Δt = 0.2 - ops = IpoptOptions(print_level=1) - pops = PiccoloOptions(verbose=false, free_time=false) - - prob1 = UnitarySmoothPulseProblem(sys, U_goal1, T, Δt, ipopt_options=ops, piccolo_options=pops) - prob2 = UnitarySmoothPulseProblem(sys, U_goal2, T, Δt, ipopt_options=ops, piccolo_options=pops) - - # Test default - direct_sum_prob1 = UnitaryDirectSumProblem([prob1, prob2], 0.99) - state_names = vcat( - add_suffix(prob1.trajectory.state_names, "1")..., - add_suffix(prob2.trajectory.state_names, "2")... - ) - control_names = vcat( - add_suffix(prob1.trajectory.control_names, "1")..., - add_suffix(prob2.trajectory.control_names, "2")... - ) - @test issetequal(direct_sum_prob1.trajectory.state_names, state_names) - @test issetequal(direct_sum_prob1.trajectory.control_names, control_names) - - # Test label graph - direct_sum_prob2 = UnitaryDirectSumProblem( - [prob1, prob2], - 0.99, - prob_labels=["a", "b"], - graph=[("a", "b")], - verbose=false, - ipopt_options=ops) - state_names_ab = vcat( - add_suffix(prob1.trajectory.state_names, "a")..., - add_suffix(prob2.trajectory.state_names, "b")... - ) - control_names_ab = vcat( - add_suffix(prob1.trajectory.control_names, "a")..., - add_suffix(prob2.trajectory.control_names, "b")... - ) - @test issetequal(direct_sum_prob2.trajectory.state_names, state_names_ab) - @test issetequal(direct_sum_prob2.trajectory.control_names, control_names_ab) - - # Test bad graph - @test_throws ArgumentError UnitaryDirectSumProblem( - [prob1, prob2], - 0.99, - prob_labels=["a", "b"], - graph=[("x", "b")], - verbose=false, - ipopt_options=ops - ) - - # Test symbol graph - direct_sum_prob3 = UnitaryDirectSumProblem( - [prob1, prob2], - 0.99, - graph=[(:a1, :a2)], - verbose=false, - ipopt_options=ops - ) - @test issetequal(direct_sum_prob3.trajectory.state_names, state_names) - @test issetequal(direct_sum_prob3.trajectory.control_names, control_names) - - # Test triple - direct_sum_prob4 = UnitaryDirectSumProblem([prob1, prob2, prob1], 0.99, ipopt_options=ops) - state_names_triple = vcat(state_names..., add_suffix(prob1.trajectory.state_names, "3")...) - control_names_triple = vcat(control_names..., add_suffix(prob1.trajectory.control_names, "3")...) - @test issetequal(direct_sum_prob4.trajectory.state_names, state_names_triple) - @test issetequal(direct_sum_prob4.trajectory.control_names, control_names_triple) - - # Test boundary values - direct_sum_prob5 = UnitaryDirectSumProblem( - [prob1, prob2], - 0.99, - graph=[("x", "1"), ("1", "2")], - R_b=1e3, - Q_symb=:dda, - boundary_values=Dict("x"=>copy(prob1.trajectory[:dda])), - verbose=false, - ipopt_options=ops - ) - # # TODO: Check for objectives? -end diff --git a/src/problem_templates/unitary_minimum_time_problem.jl b/src/problem_templates/unitary_minimum_time_problem.jl index de138d6f..67c138f9 100644 --- a/src/problem_templates/unitary_minimum_time_problem.jl +++ b/src/problem_templates/unitary_minimum_time_problem.jl @@ -3,15 +3,16 @@ export UnitaryMinimumTimeProblem @doc raw""" UnitaryMinimumTimeProblem( + goal::AbstractPiccoloOperator, trajectory::NamedTrajectory, - system::AbstractQuantumSystem, objective::Objective, - integrators::Vector{<:AbstractIntegrator}, - constraints::Vector{<:AbstractConstraint}; + dynamics::TrajectoryDynamics, + constraints::AbstractVector{<:AbstractConstraint}; kwargs... ) UnitaryMinimumTimeProblem( + goal::AbstractPiccoloOperator, prob::DirectTrajOptProblem; kwargs... ) @@ -28,102 +29,64 @@ J(\vec{\tilde{U}}, a, \dot{a}, \ddot{a}) + D \sum_t \Delta t_t \\ \end{aligned} ``` -# Arguments -- `trajectory::NamedTrajectory`: The initial trajectory. -- `system::AbstractQuantumSystem`: The quantum system. -- `objective::Objective`: The objective function (additional to the minimum-time objective). -- `integrators::Vector{<:AbstractIntegrator}`: The integrators. -- `constraints::Vector{<:AbstractConstraint}`: The constraints. - # Keyword Arguments -- `unitary_name::Symbol=:Ũ⃗`: The symbol for the unitary control. -- `final_fidelity::Float64=0.99`: The final fidelity. -- `D=1.0`: The weight for the minimum-time objective. -- `ipopt_options::IpoptOptions=IpoptOptions()`: The options for the Ipopt solver. -- `piccolo_options::PiccoloOptions=PiccoloOptions()`: The options for the Piccolo solver. -- `kwargs...`: Additional keyword arguments to pass to `DirectTrajOptProblem`. +- `piccolo_options::PiccoloOptions=PiccoloOptions()`: The Piccolo options. +- `unitary_name::Symbol=:Ũ⃗`: The name of the unitary for the goal. +- `final_fidelity::Float64=1.0`: The final fidelity constraint. +- `D::Float64=1.0`: The scaling factor for the minimum-time objective. """ function UnitaryMinimumTimeProblem end function UnitaryMinimumTimeProblem( trajectory::NamedTrajectory, - system::AbstractQuantumSystem, + goal::AbstractPiccoloOperator, objective::Objective, - integrators::Vector{<:AbstractIntegrator}, - constraints::Vector{<:AbstractConstraint}; + dynamics::TrajectoryDynamics, + constraints::AbstractVector{<:AbstractConstraint}; unitary_name::Symbol=:Ũ⃗, - control_name::Symbol=:a, - final_fidelity::Union{Real, Nothing}=nothing, - D=1.0, + final_fidelity::Float64=1.0, + D::Float64=1.0, piccolo_options::PiccoloOptions=PiccoloOptions(), - phase_name::Symbol=:ϕ, - phase_operators::Union{AbstractVector{<:AbstractMatrix}, Nothing}=nothing, - subspace=nothing, ) - @assert unitary_name ∈ trajectory.names + if piccolo_options.verbose + println(" constructing UnitaryMinimumTimeProblem...") + println("\tfinal fidelity: $(final_fidelity)") + end objective += MinimumTimeObjective( trajectory; D=D, timesteps_all_equal=piccolo_options.timesteps_all_equal ) - U_T = trajectory[unitary_name][:, end] - U_G = trajectory.goal[unitary_name] - subspace = isnothing(subspace) ? axes(iso_vec_to_operator(U_T), 1) : subspace - - if isnothing(phase_operators) - if isnothing(final_fidelity) - final_fidelity = iso_vec_unitary_fidelity(U_T, U_G, subspace=subspace) - end - - fidelity_constraint = FinalUnitaryFidelityConstraint( - unitary_name, final_fidelity, trajectory; - subspace=subspace, - eval_hessian=piccolo_options.eval_hessian - ) - else - if isnothing(final_fidelity) - phases = trajectory.global_data[phase_name] - final_fidelity = iso_vec_unitary_free_phase_fidelity( - U_T, U_G, phases, phase_operators; subspace=subspace - ) - end - - fidelity_constraint = FinalUnitaryFreePhaseFidelityConstraint( - unitary_name, phase_name, phase_operators, final_fidelity, trajectory; - subspace=subspace, - eval_hessian=piccolo_options.eval_hessian - ) - end + fidelity_constraint = FinalUnitaryFidelityConstraint( + goal, unitary_name, final_fidelity, trajectory + ) constraints = push!(constraints, fidelity_constraint) return DirectTrajOptProblem( trajectory, objective, - integrators; - constraints=constraints, + dynamics, + constraints ) end +# TODO: how to handle apply_piccolo_options? +# TODO: goal from trajectory? + function UnitaryMinimumTimeProblem( prob::DirectTrajOptProblem, - sys::AbstractQuantumSystem; + goal::AbstractPiccoloOperator; objective::Objective=prob.objective, - constraints::AbstractVector{<:AbstractConstraint}=get_constraints(prob), - ipopt_options::IpoptOptions=deepcopy(prob.ipopt_options), - piccolo_options::PiccoloOptions=deepcopy(prob.piccolo_options), - build_trajectory_constraints=false, + constraints::AbstractVector{<:AbstractConstraint}=prob.constraints, kwargs... ) - piccolo_options.build_trajectory_constraints = build_trajectory_constraints - return UnitaryMinimumTimeProblem( - copy(prob.trajectory), - sys, + prob.trajectory, + goal, objective, - prob.integrators, + prob.dynamics, constraints; - piccolo_options=piccolo_options, kwargs... ) end @@ -146,60 +109,28 @@ end piccolo_options=PiccoloOptions(verbose=false) ) - ipopt_options=IpoptOptions() - before = unitary_rollout_fidelity(prob.trajectory, sys) - solve!(prob, max_iter=100, options=ipopt_options) + solve!(prob; max_iter=100, verbose=false, print_level=1) after = unitary_rollout_fidelity(prob.trajectory, sys) @test after > before - # Soft fidelity constraint - final_fidelity = minimum([0.99, after]) - mintime_prob = UnitaryMinimumTimeProblem(prob, sys, final_fidelity=final_fidelity) - solve!(mintime_prob; max_iter=100, options=ipopt_options) - - # Test fidelity is approximatley staying above the constraint - @test unitary_rollout_fidelity(mintime_prob.trajectory, sys) ≥ (final_fidelity - 0.1 * final_fidelity) - duration_after = sum(get_timesteps(mintime_prob.trajectory)) - duration_before = sum(get_timesteps(prob.trajectory)) - @test duration_after < duration_before - - # Set up without a final fidelity - @test UnitaryMinimumTimeProblem(prob, sys) isa DirectTrajOptProblem - -end - -@testitem "Minimum time free phase" begin - using NamedTrajectories - - phase_operators = [PAULIS[:Z]] - sys = QuantumSystem([PAULIS[:X]]) - prob = UnitarySmoothPulseProblem( - sys, GATES[:H], 51, 0.2, - ipopt_options=IpoptOptions(print_level=1), - piccolo_options=PiccoloOptions(verbose=false), - phase_operators=phase_operators - ) - - # Soft fidelity constraint - final_fidelity = minimum([0.99, unitary_rollout_fidelity(prob.trajectory, sys)]) - mintime_prob = UnitaryMinimumTimeProblem( - prob, - sys; - final_fidelity=final_fidelity, - phase_operators=phase_operators + # soft fidelity constraint + min_prob = UnitaryMinimumTimeProblem( + prob, U_goal, + piccolo_options=PiccoloOptions(verbose=false) ) - solve!(mintime_prob; max_iter=100) + solve!(min_prob; max_iter=100, verbose=false, print_level=1) - duration_after = sum(get_timesteps(mintime_prob.trajectory)) + # test fidelity has stayed above the constraint + constraint_tol = 0.95 + final_fidelity = minimum([0.99, after]) + @test unitary_rollout_fidelity(min_prob.trajectory, sys) ≥ constraint_tol * final_fidelity + duration_after = sum(get_timesteps(min_prob.trajectory)) duration_before = sum(get_timesteps(prob.trajectory)) @test duration_after < duration_before +end - # Quick check for using default fidelity - @test UnitaryMinimumTimeProblem( - prob, - sys; - final_fidelity=final_fidelity, - phase_operators=phase_operators - ) isa DirectTrajOptProblem +@testitem "Test relaxed final_fidelity constraint" begin + final_fidelity = 0.95 + @test_broken false end diff --git a/src/problem_templates/unitary_robustness_problem.jl b/src/problem_templates/unitary_robustness_problem.jl deleted file mode 100644 index c533d975..00000000 --- a/src/problem_templates/unitary_robustness_problem.jl +++ /dev/null @@ -1,264 +0,0 @@ -export UnitaryRobustnessProblem - - -@doc raw""" - UnitaryRobustnessProblem( - H_error, - trajectory, - system, - objective, - integrators, - constraints; - kwargs... - ) - - UnitaryRobustnessProblem(Hₑ, prob::DirectTrajOptProblem; kwargs...) - -Create a quantum control problem for robustness optimization of a unitary trajectory. - -# Keyword Arguments -- `unitary_name::Symbol=:Ũ⃗`: The symbol for the unitary trajectory in `trajectory`. -- `final_fidelity::Union{Real, Nothing}=nothing`: The target fidelity for the final unitary. -- `ipopt_options::IpoptOptions=IpoptOptions()`: Options for the Ipopt solver. -- `piccolo_options::PiccoloOptions=PiccoloOptions()`: Options for the Piccolo solver. -- `kwargs...`: Additional keyword arguments passed to `DirectTrajOptProblem`. -""" -function UnitaryRobustnessProblem end - -function UnitaryRobustnessProblem( - H_error::AbstractPiccoloOperator, - trajectory::NamedTrajectory, - system::QuantumSystem, - objective::Objective, - integrators::Vector{<:AbstractIntegrator}, - constraints::Vector{<:AbstractConstraint}; - unitary_name::Symbol=:Ũ⃗, - control_name::Symbol=:a, - final_fidelity::Union{Real, Nothing}=nothing, - phase_name::Symbol=:ϕ, - phase_operators::Union{AbstractVector{<:AbstractMatrix}, Nothing}=nothing, - ipopt_options::IpoptOptions=IpoptOptions(), - piccolo_options::PiccoloOptions=PiccoloOptions(), - subspace=nothing, - kwargs... -) - @assert unitary_name ∈ trajectory.names - - objective += UnitaryRobustnessObjective( - H_error=H_error, - eval_hessian=piccolo_options.eval_hessian - ) - - U_T = trajectory[unitary_name][:, end] - U_G = trajectory.goal[unitary_name] - subspace = isnothing(subspace) ? axes(iso_vec_to_operator(U_T), 1) : subspace - - if isnothing(phase_operators) - if isnothing(final_fidelity) - final_fidelity = iso_vec_unitary_fidelity(U_T, U_G, subspace=subspace) - end - - fidelity_constraint = FinalUnitaryFidelityConstraint( - unitary_name, - final_fidelity, - trajectory; - subspace=subspace, - eval_hessian=piccolo_options.eval_hessian - ) - else - if isnothing(final_fidelity) - phases = trajectory.global_data[phase_name] - final_fidelity = iso_vec_unitary_free_phase_fidelity( - U_T, U_G, phases, phase_operators; subspace=subspace - ) - end - - fidelity_constraint = FinalUnitaryFreePhaseFidelityConstraint( - unitary_name, - phase_name, - phase_operators, - final_fidelity, - trajectory; - subspace=subspace, - eval_hessian=piccolo_options.eval_hessian - ) - end - - push!(constraints, fidelity_constraint) - - return DirectTrajOptProblem( - trajectory, - objective, - integrators; - constraints=constraints, - ipopt_options=ipopt_options, - piccolo_options=piccolo_options, - control_name=control_name, - kwargs... - ) -end - -function UnitaryRobustnessProblem( - H_error::AbstractPiccoloOperator, - prob::DirectTrajOptProblem, - sys::AbstractQuantumSystem; - objective::Objective=get_objective(prob), - constraints::AbstractVector{<:AbstractConstraint}=get_constraints(prob), - ipopt_options::IpoptOptions=deepcopy(prob.ipopt_options), - piccolo_options::PiccoloOptions=deepcopy(prob.piccolo_options), - build_trajectory_constraints=false, - kwargs... -) - piccolo_options.build_trajectory_constraints = build_trajectory_constraints - - return UnitaryRobustnessProblem( - H_error, - copy(prob.trajectory), - sys, - objective, - prob.integrators, - constraints; - ipopt_options=ipopt_options, - piccolo_options=piccolo_options, - kwargs... - ) -end - -# *************************************************************************** # - -@testitem "Robust and Subspace Templates" begin - H_drift = zeros(3, 3) - H_drives = [create(3) + annihilate(3), im * (create(3) - annihilate(3))] - sys = QuantumSystem(H_drift, H_drives) - - U_goal = EmbeddedOperator(:X, sys) - H_embed = EmbeddedOperator(:Z, sys) - T = 51 - Δt = 0.2 - - # test initial problem - # --------------------- - prob = UnitarySmoothPulseProblem( - sys, U_goal, T, Δt, - R=1e-12, - ipopt_options=IpoptOptions(print_level=1), - piccolo_options=PiccoloOptions(verbose=false) - ) - before = unitary_rollout_fidelity(prob.trajectory, sys; subspace=U_goal.subspace) - solve!(prob, max_iter=15) - after = unitary_rollout_fidelity(prob.trajectory, sys; subspace=U_goal.subspace) - - # Subspace gate success - @test after > before - - - # set up without a final fidelity - # ------------------------------- - @test UnitaryRobustnessProblem(H_embed, prob, sys) isa DirectTrajOptProblem - - - # test robustness from previous problem - # -------------------------------------- - final_fidelity = 0.99 - rob_prob = UnitaryRobustnessProblem( - H_embed, prob, sys; - final_fidelity=final_fidelity, - ipopt_options=IpoptOptions(recalc_y="yes", recalc_y_feas_tol=100.0, print_level=1), - ) - solve!(rob_prob, max_iter=50) - - loss(Z⃗) = UnitaryRobustnessObjective(H_error=H_embed).L(Z⃗, prob.trajectory) - - # Robustness improvement over default (or small initial) - # TODO: Can this test be improved? (might fail if unlucky) - after = loss(rob_prob.trajectory.datavec) - before = loss(prob.trajectory.datavec) - @test (after < before) || (before < 0.25) - - # TODO: Fidelity constraint approximately satisfied - @test_skip isapprox(unitary_rollout_fidelity(rob_prob; subspace=U_goal.subspace), 0.99, atol=0.05) -end - -@testitem "Set up a free phase problem" begin - using LinearAlgebra - δ1 = δ2 = -0.1 - T = 75 - Δt = 1.0 - n_levels = 3 - a = annihilate(n_levels) - id = I(n_levels) - a1 = kron(a, id) - a2 = kron(id, a) - H_drift = δ1 / 2 * a1' * a1' * a1 * a1 + δ2 / 2 * a2' * a2' * a2 * a2 - H_drives = [a1'a1, a2'a2, a1'a2 + a1*a2', im * (a1'a2 - a1 * a2')] - system = QuantumSystem(H_drift, H_drives) - U_goal = EmbeddedOperator( - GATES[:CZ], - get_subspace_indices([1:2, 1:2], [n_levels, n_levels]), - [n_levels, n_levels] - ) - - phase_operators = [PAULIS[:Z], PAULIS[:Z]] - prob = UnitarySmoothPulseProblem( - system, U_goal, T, Δt, - ipopt_options=IpoptOptions(print_level=1), - piccolo_options=PiccoloOptions(verbose=false, eval_hessian=false), - phase_operators=phase_operators, - ) - - ZZ = EmbeddedOperator( - reduce(kron, phase_operators), - get_subspace_indices([1:2, 1:2], [n_levels, n_levels]), - [n_levels, n_levels] - ) - - @test UnitaryRobustnessProblem( - ZZ, - prob, - system, - phase_operators=phase_operators, - subspace=U_goal.subspace, - ) isa DirectTrajOptProblem -end - -@testitem "Set up a free phase problem" begin - using LinearAlgebra - δ1 = δ2 = -0.1 - T = 75 - Δt = 1.0 - n_levels = 3 - a = annihilate(n_levels) - id = I(n_levels) - a1 = kron(a, id) - a2 = kron(id, a) - H_drift = δ1 / 2 * a1' * a1' * a1 * a1 + δ2 / 2 * a2' * a2' * a2 * a2 - H_drives = [a1'a1, a2'a2, a1'a2 + a1*a2', im * (a1'a2 - a1 * a2')] - system = QuantumSystem(H_drift, H_drives) - U_goal = EmbeddedOperator( - GATES[:CZ], - get_subspace_indices([1:2, 1:2], [n_levels, n_levels]), - [n_levels, n_levels] - ) - - phase_operators = [PAULIS[:Z], PAULIS[:Z]] - prob = UnitarySmoothPulseProblem( - system, U_goal, T, Δt, - ipopt_options=IpoptOptions(print_level=1), - piccolo_options=PiccoloOptions(verbose=false, eval_hessian=false), - phase_operators=phase_operators, - ) - - ZZ = EmbeddedOperator( - reduce(kron, phase_operators), - get_subspace_indices([1:2, 1:2], [n_levels, n_levels]), - [n_levels, n_levels] - ) - - @test UnitaryRobustnessProblem( - ZZ, - prob, - system; - phase_operators=phase_operators, - subspace=U_goal.subspace, - ) isa DirectTrajOptProblem -end diff --git a/src/problem_templates/unitary_sampling_problem.jl b/src/problem_templates/unitary_sampling_problem.jl index 2c72276a..54116211 100644 --- a/src/problem_templates/unitary_sampling_problem.jl +++ b/src/problem_templates/unitary_sampling_problem.jl @@ -4,13 +4,15 @@ export UnitarySamplingProblem @doc raw""" UnitarySamplingProblem(systemns, operator, T, Δt; kwargs...) -A `UnitarySamplingProblem` is a quantum control problem where the goal is to find a control pulse that generates a target unitary operator for a set of quantum systems. -The controls are shared among all systems, and the optimization seeks to find the control pulse that achieves the operator for each system. The idea is to enforce a +A `UnitarySamplingProblem` is a quantum control problem where the goal is to find a control +pulse that generates a target unitary operator for a set of quantum systems. +The controls are shared among all systems, and the optimization seeks to find the control +pulse that achieves the operator for each system. The idea is to enforce a robust solution by including multiple systems reflecting the problem uncertainty. # Arguments - `systems::AbstractVector{<:AbstractQuantumSystem}`: A vector of quantum systems. -- `operator::AbstractPiccoloOperator`: The target unitary operator. +- `operators::AbstractVector{<:AbstractPiccoloOperator}`: A vector of target operators. - `T::Int`: The number of time steps. - `Δt::Union{Float64, Vector{Float64}}`: The time step value or vector of time steps. @@ -18,8 +20,6 @@ robust solution by including multiple systems reflecting the problem uncertainty - `system_labels::Vector{String} = string.(1:length(systems))`: The labels for each system. - `system_weights::Vector{Float64} = fill(1.0, length(systems))`: The weights for each system. - `init_trajectory::Union{NamedTrajectory, Nothing} = nothing`: The initial trajectory. -- `ipopt_options::IpoptOptions = IpoptOptions()`: The IPOPT options. -- `piccolo_options::PiccoloOptions = PiccoloOptions()`: The Piccolo options. - `state_name::Symbol = :Ũ⃗`: The name of the state variable. - `control_name::Symbol = :a`: The name of the control variable. - `timestep_name::Symbol = :Δt`: The name of the timestep variable. @@ -38,7 +38,7 @@ robust solution by including multiple systems reflecting the problem uncertainty - `R_a::Union{Float64, Vector{Float64}} = R`: The regularization weight for the control amplitudes. - `R_da::Union{Float64, Vector{Float64}} = R`: The regularization weight for the control first derivatives. - `R_dda::Union{Float64, Vector{Float64}} = R`: The regularization weight for the control second derivatives. -- `kwargs...`: Additional keyword arguments. +- `piccolo_options::PiccoloOptions = PiccoloOptions()`: The Piccolo options. """ function UnitarySamplingProblem( @@ -46,9 +46,9 @@ function UnitarySamplingProblem( operators::AbstractVector{<:AbstractPiccoloOperator}, T::Int, Δt::Union{Float64,Vector{Float64}}; + unitary_integrator=UnitaryIntegrator, system_weights=fill(1.0, length(systems)), init_trajectory::Union{NamedTrajectory,Nothing}=nothing, - ipopt_options::IpoptOptions=IpoptOptions(), piccolo_options::PiccoloOptions=PiccoloOptions(), state_name::Symbol=:Ũ⃗, control_name::Symbol=:a, @@ -71,6 +71,12 @@ function UnitarySamplingProblem( kwargs... ) @assert length(systems) == length(operators) + + if piccolo_options.verbose + println(" constructing UnitarySamplingProblem...") + println("\tusing integrator: $(typeof(unitary_integrator))") + println("\tusing $(length(systems)) systems") + end # Trajectory state_names = [ @@ -80,31 +86,27 @@ function UnitarySamplingProblem( if !isnothing(init_trajectory) traj = init_trajectory else - trajs = map(zip(systems, operators, state_names)) do (sys, op, s) + trajs = map(zip(systems, operators, state_names)) do (sys, op, st) initialize_trajectory( op, T, Δt, sys.n_drives, (a_bounds, da_bounds, dda_bounds); - state_name=s, + state_name=st, control_name=control_name, timestep_name=timestep_name, - free_time=piccolo_options.free_time, Δt_bounds=(Δt_min, Δt_max), geodesic=piccolo_options.geodesic, bound_state=piccolo_options.bound_state, a_guess=a_guess, system=sys, rollout_integrator=piccolo_options.rollout_integrator, + verbose=false # loop ) end - traj = merge( - trajs, - merge_names=(; a=1, da=1, dda=1, Δt=1), - free_time=piccolo_options.free_time - ) + traj = merge(trajs, merge_names=(; a=1, da=1, dda=1, Δt=1), free_time=true) end control_names = [ @@ -128,16 +130,8 @@ function UnitarySamplingProblem( ) # Integrators - unitary_integrators = AbstractIntegrator[] - for (sys, Ũ⃗_name) in zip(systems, state_names) - push!( - unitary_integrators, - UnitaryIntegrator(sys, traj, Ũ⃗_name, control_name) - ) - end - integrators = [ - unitary_integrators..., + [unitary_integrator(sys, traj, n, control_name) for (sys, n) in zip(systems, state_names)]..., DerivativeIntegrator(traj, control_name, control_names[2]), DerivativeIntegrator(traj, control_names[2], control_names[3]), ] @@ -167,83 +161,33 @@ function UnitarySamplingProblem( ) end -function UnitarySamplingProblem( - system::Function, - distribution::Sampleable, - num_samples::Int, - args...; - kwargs... -) - samples = rand(distribution, num_samples) - systems = [system(x) for x in samples] - return UnitarySamplingProblem( - systems, - args...; - kwargs... - ) -end - # *************************************************************************** # @testitem "Sample robustness test" begin - using Distributions - using Random - Random.seed!(1234) - - n_samples = 5 T = 50 Δt = 0.2 timesteps = fill(Δt, T) operator = GATES[:H] systems(ζ) = QuantumSystem(ζ * GATES[:Z], [GATES[:X], GATES[:Y]]) - - ip_ops = IpoptOptions(print_level=1, recalc_y="yes", recalc_y_feas_tol=1e1, eval_hessian=false) - pi_ops = PiccoloOptions(verbose=false) - + + samples = [0.0, 0.1] prob = UnitarySamplingProblem( - systems, Normal(0, 0.05), n_samples, operator, T, Δt, - piccolo_options=pi_ops + [systems(x) for x in samples], operator, T, Δt, + piccolo_options=PiccoloOptions(verbose=false) ) - solve!(prob, max_iter=20, options=ip_ops) - - d_prob = UnitarySmoothPulseProblem( - systems(0), operator, T, Δt, - piccolo_options=pi_ops + solve!(prob, max_iter=100, print_level=1, verbose=false) + + base_prob = UnitarySmoothPulseProblem( + systems(samples[1]), operator, T, Δt, + piccolo_options=PiccoloOptions(verbose=false) ) - solve!(d_prob, max_iter=20, options=ip_ops) - - # Check that the solution improves over the default - # ------------------------------------------------- - ζ_tests = -0.05:0.01:0.05 - Ũ⃗_goal = operator_to_iso_vec(operator) - fids = [] - default_fids = [] - for ζ in ζ_tests - Ũ⃗_end = unitary_rollout(prob.trajectory.a, timesteps, systems(ζ))[:, end] - push!(fids, unitary_fidelity(iso_vec_to_operator(Ũ⃗_end), iso_vec_to_operator(Ũ⃗_goal))) - - d_Ũ⃗_end = unitary_rollout(d_prob.trajectory.a, timesteps, systems(ζ))[:, end] - push!(default_fids, unitary_fidelity(iso_vec_to_operator(d_Ũ⃗_end), iso_vec_to_operator(Ũ⃗_goal))) + solve!(base_prob, max_iter=100, verbose=false, print_level=1) + + fid = [] + base_fid = [] + for x in range(samples[1], samples[1], length=5) + push!(fid, unitary_rollout_fidelity(prob.trajectory, systems(0.1), unitary_name=:Ũ⃗_system_1)) + push!(base_fid, unitary_rollout_fidelity(base_prob.trajectory, systems(0.1))) end - @test sum(fids) > sum(default_fids) - - # Check initial guess initialization - # ---------------------------------- - a_guess = prob.trajectory.a - - g1_prob = UnitarySamplingProblem( - [systems(0), systems(0)], operator, T, Δt, - a_guess=a_guess, - piccolo_options=pi_ops - ) - - @test g1_prob.trajectory.Ũ⃗_system_1 ≈ g1_prob.trajectory.Ũ⃗_system_2 - - g2_prob = UnitarySamplingProblem( - [systems(0), systems(0.05)], operator, T, Δt; - a_guess=a_guess, - piccolo_options=pi_ops - ) - - @test ~(g2_prob.trajectory.Ũ⃗_system_1 ≈ g2_prob.trajectory.Ũ⃗_system_2) + @test sum(fid) > sum(base_fid) end diff --git a/src/problem_templates/unitary_smooth_pulse_problem.jl b/src/problem_templates/unitary_smooth_pulse_problem.jl index 6fbe8909..867a4d6d 100644 --- a/src/problem_templates/unitary_smooth_pulse_problem.jl +++ b/src/problem_templates/unitary_smooth_pulse_problem.jl @@ -36,7 +36,7 @@ or - `H_drift::AbstractMatrix{<:Number}`: the drift hamiltonian - `H_drives::Vector{<:AbstractMatrix{<:Number}}`: the control hamiltonians with -- `operator::AbstractPiccoloOperator`: the target unitary, either in the form of an `EmbeddedOperator` or a `Matrix{ComplexF64} +- `goal::AbstractPiccoloOperator`: the target unitary, either in the form of an `EmbeddedOperator` or a `Matrix{ComplexF64} - `T::Int`: the number of timesteps - `Δt::Float64`: the (initial) time step size @@ -63,13 +63,14 @@ with - `constraints::Vector{<:AbstractConstraint}=AbstractConstraint[]`: the constraints to enforce """ +function UnitarySmoothPulseProblem end + function UnitarySmoothPulseProblem( system::AbstractQuantumSystem, - operator::AbstractPiccoloOperator, + goal::AbstractPiccoloOperator, T::Int, Δt::Union{Float64, <:AbstractVector{Float64}}; unitary_integrator=UnitaryIntegrator, - piccolo_options::PiccoloOptions=PiccoloOptions(), state_name::Symbol = :Ũ⃗, control_name::Symbol = :a, timestep_name::Symbol = :Δt, @@ -89,7 +90,7 @@ function UnitarySmoothPulseProblem( R_da::Union{Float64, Vector{Float64}}=R, R_dda::Union{Float64, Vector{Float64}}=R, constraints::Vector{<:AbstractConstraint}=AbstractConstraint[], - kwargs... + piccolo_options::PiccoloOptions=PiccoloOptions(), ) if piccolo_options.verbose println(" constructing UnitarySmoothPulseProblem...") @@ -101,7 +102,7 @@ function UnitarySmoothPulseProblem( traj = init_trajectory else traj = initialize_trajectory( - operator, + goal, T, Δt, system.n_drives, @@ -115,12 +116,13 @@ function UnitarySmoothPulseProblem( bound_state=piccolo_options.bound_state, a_guess=a_guess, system=system, - rollout_integrator=piccolo_options.rollout_integrator + rollout_integrator=piccolo_options.rollout_integrator, + verbose=piccolo_options.verbose ) end # Objective - J = UnitaryInfidelityLoss(operator, state_name, traj; Q=Q) + J = UnitaryInfidelityLoss(goal, state_name, traj; Q=Q) control_names = [ name for name ∈ traj.names @@ -134,7 +136,7 @@ function UnitarySmoothPulseProblem( # Optional Piccolo constraints and objectives apply_piccolo_options!( J, constraints, piccolo_options, traj, state_name, timestep_name; - state_leakage_indices=operator isa EmbeddedOperator ? get_leakage_indices(operator) : nothing + state_leakage_indices=goal isa EmbeddedOperator ? get_leakage_indices(goal) : nothing ) integrators = [ @@ -176,7 +178,7 @@ end ) initial = unitary_rollout_fidelity(prob.trajectory, sys) - solve!(prob, max_iter=100, verbose=false, options=IpoptOptions(print_level=1)) + solve!(prob, max_iter=100, verbose=false, print_level=1) final = unitary_rollout_fidelity(prob.trajectory, sys) @test final > initial end @@ -197,7 +199,7 @@ end ) initial = unitary_rollout_fidelity(prob.trajectory, sys) - solve!(prob, max_iter=100, verbose=false, options=IpoptOptions(print_level=1)) + solve!(prob, max_iter=100, verbose=false, print_level=1) final = unitary_rollout_fidelity(prob.trajectory, sys) @test final > initial end @@ -215,64 +217,9 @@ end ) initial = unitary_rollout_fidelity(prob.trajectory, sys, subspace=U_goal.subspace) - solve!(prob, verbose=false, max_iter=50, options=IpoptOptions(print_level=1)) + solve!(prob, max_iter=100, verbose=false, print_level=1) final = unitary_rollout_fidelity(prob.trajectory, sys, subspace=U_goal.subspace) @test final > initial end -@testitem "Leakage suppression" begin - a = annihilate(4) - sys = QuantumSystem([(a + a')/2, (a - a')/(2im)]) - U_goal = EmbeddedOperator(GATES[:H], sys) - T = 50 - Δt = 0.2 - - prob = UnitarySmoothPulseProblem( - sys, U_goal, T, Δt, - leakage_suppression=true, R_leakage=1e-1, - piccolo_options=PiccoloOptions(verbose=false) - ) - - initial = unitary_rollout_fidelity(prob.trajectory, sys, subspace=U_goal.subspace) - solve!( - prob, - verbose=false, - max_iter=50, - options=IpoptOptions(eval_hessian=false, print_level=1) # slow l1 - ) - final = unitary_rollout_fidelity(prob.trajectory, sys, subspace=U_goal.subspace) - @test final > initial -end - -# @testitem "Free phase Y gate using X" begin -# using Random -# # Random.seed!(1234) -# phase_name = :ϕ -# phase_operators = [PAULIS[:Z]] -# sys = QuantumSystem([PAULIS[:X]]) -# prob = UnitarySmoothPulseProblem( -# sys, -# GATES[:Y], -# 51, -# 0.2; -# phase_operators=phase_operators, -# phase_name=phase_name, -# ipopt_options=IpoptOptions(print_level=1), -# piccolo_options=PiccoloOptions(verbose=false, free_time=false) -# ) - -# before = prob.trajectory.global_data[phase_name] -# solve!(prob, max_iter=50) -# after = prob.trajectory.global_data[phase_name] - -# @test before ≠ after - -# @test unitary_rollout_fidelity( -# prob.trajectory, -# sys; -# phases=prob.trajectory.global_data[phase_name], -# phase_operators=phase_operators -# ) > 0.9 - -# @test unitary_rollout_fidelity(prob.trajectory, sys) < 0.9 -# end +# TODO: Test changing names of control, state, and timestep diff --git a/src/quantum_constraints.jl b/src/quantum_constraints.jl new file mode 100644 index 00000000..5c3a2ea7 --- /dev/null +++ b/src/quantum_constraints.jl @@ -0,0 +1,80 @@ +module QuantumConstraints + +using ..QuantumObjectives + +using NamedTrajectories +using PiccoloQuantumObjects +using DirectTrajOpt + +export FinalKetFidelityConstraint +export FinalUnitaryFidelityConstraint + + +# --------------------------------------------------------- +# Kets +# --------------------------------------------------------- + +function FinalKetFidelityConstraint( + ψ_goal::AbstractVector{<:Complex{Float64}}, + ψ̃_name::Symbol, + final_fidelity::Float64, + traj::NamedTrajectory +) + terminal_constraint = ψ̃ -> [ + ket_infidelity_loss(ψ̃, ψ_goal) - abs(1 - final_fidelity) + ] + + return NonlinearKnotPointConstraint( + terminal_constraint, + ψ̃_name, + traj, + equality=final_fidelity == 1.0, + times=[traj.T] + ) +end + +# --------------------------------------------------------- +# Unitaries +# --------------------------------------------------------- + +function FinalUnitaryFidelityConstraint( + U_goal::AbstractMatrix{<:Complex{Float64}}, + Ũ⃗_name::Symbol, + final_fidelity::Float64, + traj::NamedTrajectory +) + terminal_constraint = Ũ⃗ -> [ + unitary_infidelity_loss(Ũ⃗, U_goal) - abs(1 - final_fidelity) + ] + + return NonlinearKnotPointConstraint( + terminal_constraint, + Ũ⃗_name, + traj, + equality=final_fidelity == 1.0, + times=[traj.T] + ) +end + +function FinalUnitaryFidelityConstraint( + op::EmbeddedOperator, + Ũ⃗_name::Symbol, + final_fidelity::Float64, + traj::NamedTrajectory +) + + U_goal = unembed(op) + terminal_constraint = Ũ⃗ -> [ + unitary_subspace_infidelity_loss(Ũ⃗, U_goal, op.subspace) - abs(1 - final_fidelity) + ] + + return NonlinearKnotPointConstraint( + terminal_constraint, + Ũ⃗_name, + traj, + equality=final_fidelity == 1.0, + times=[traj.T] + ) +end + +end \ No newline at end of file diff --git a/src/trajectory_initialization.jl b/src/trajectory_initialization.jl index 59cddae2..81026f75 100644 --- a/src/trajectory_initialization.jl +++ b/src/trajectory_initialization.jl @@ -290,7 +290,7 @@ function initialize_trajectory( Symbol("d"^i * string(control_name)) for i = 1:n_control_derivatives ] if verbose - println("control_derivative_names: $control_derivative_names") + println("\tcontrol derivative names: $control_derivative_names") end control_names = (control_name, control_derivative_names...) From e756e923d5d2836ffb423a670e5b9410e711911b Mon Sep 17 00:00:00 2001 From: Andy Goldschmidt Date: Thu, 13 Mar 2025 03:11:13 -0500 Subject: [PATCH 09/30] patch: drop density include --- src/problem_templates/_problem_templates.jl | 2 -- 1 file changed, 2 deletions(-) diff --git a/src/problem_templates/_problem_templates.jl b/src/problem_templates/_problem_templates.jl index f6281f4d..b9c0bc3e 100644 --- a/src/problem_templates/_problem_templates.jl +++ b/src/problem_templates/_problem_templates.jl @@ -26,8 +26,6 @@ include("quantum_state_smooth_pulse_problem.jl") include("quantum_state_minimum_time_problem.jl") include("quantum_state_sampling_problem.jl") -include("density_operator_smooth_pulse_problem.jl") - function apply_piccolo_options!( J::Objective, From 4f8730de7321291f97ee803832b1728a8ae05dd6 Mon Sep 17 00:00:00 2001 From: Andy Goldschmidt Date: Thu, 13 Mar 2025 10:08:28 -0500 Subject: [PATCH 10/30] update min time for flipped inequality constraint --- .../quantum_state_minimum_time_problem.jl | 2 +- .../unitary_minimum_time_problem.jl | 2 +- src/quantum_constraints.jl | 27 +++---------------- 3 files changed, 5 insertions(+), 26 deletions(-) diff --git a/src/problem_templates/quantum_state_minimum_time_problem.jl b/src/problem_templates/quantum_state_minimum_time_problem.jl index cfc462cb..abef7621 100644 --- a/src/problem_templates/quantum_state_minimum_time_problem.jl +++ b/src/problem_templates/quantum_state_minimum_time_problem.jl @@ -23,7 +23,7 @@ function QuantumStateMinimumTimeProblem( constraints::Vector{<:AbstractConstraint}; state_name::Symbol=:ψ̃, final_fidelity::Float64=1.0, - D=1.0, + D=100.0, piccolo_options::PiccoloOptions=PiccoloOptions(), ) state_names = [name for name in trajectory.names if startswith(string(name), string(state_name))] diff --git a/src/problem_templates/unitary_minimum_time_problem.jl b/src/problem_templates/unitary_minimum_time_problem.jl index 67c138f9..2aa2a32d 100644 --- a/src/problem_templates/unitary_minimum_time_problem.jl +++ b/src/problem_templates/unitary_minimum_time_problem.jl @@ -45,7 +45,7 @@ function UnitaryMinimumTimeProblem( constraints::AbstractVector{<:AbstractConstraint}; unitary_name::Symbol=:Ũ⃗, final_fidelity::Float64=1.0, - D::Float64=1.0, + D::Float64=100.0, piccolo_options::PiccoloOptions=PiccoloOptions(), ) if piccolo_options.verbose diff --git a/src/quantum_constraints.jl b/src/quantum_constraints.jl index 5c3a2ea7..7e3a988b 100644 --- a/src/quantum_constraints.jl +++ b/src/quantum_constraints.jl @@ -28,7 +28,7 @@ function FinalKetFidelityConstraint( terminal_constraint, ψ̃_name, traj, - equality=final_fidelity == 1.0, + equality=false, times=[traj.T] ) end @@ -38,7 +38,7 @@ end # --------------------------------------------------------- function FinalUnitaryFidelityConstraint( - U_goal::AbstractMatrix{<:Complex{Float64}}, + U_goal::AbstractPiccoloOperator, Ũ⃗_name::Symbol, final_fidelity::Float64, traj::NamedTrajectory @@ -51,28 +51,7 @@ function FinalUnitaryFidelityConstraint( terminal_constraint, Ũ⃗_name, traj, - equality=final_fidelity == 1.0, - times=[traj.T] - ) -end - -function FinalUnitaryFidelityConstraint( - op::EmbeddedOperator, - Ũ⃗_name::Symbol, - final_fidelity::Float64, - traj::NamedTrajectory -) - - U_goal = unembed(op) - terminal_constraint = Ũ⃗ -> [ - unitary_subspace_infidelity_loss(Ũ⃗, U_goal, op.subspace) - abs(1 - final_fidelity) - ] - - return NonlinearKnotPointConstraint( - terminal_constraint, - Ũ⃗_name, - traj, - equality=final_fidelity == 1.0, + equality=false, times=[traj.T] ) end From 06d2c099175facecfed3f26a59c9da93051d9a30 Mon Sep 17 00:00:00 2001 From: Andy Goldschmidt Date: Thu, 13 Mar 2025 14:11:02 -0500 Subject: [PATCH 11/30] stop reexporting PQO --- src/QuantumCollocation.jl | 1 - 1 file changed, 1 deletion(-) diff --git a/src/QuantumCollocation.jl b/src/QuantumCollocation.jl index 261e869a..454e9d39 100644 --- a/src/QuantumCollocation.jl +++ b/src/QuantumCollocation.jl @@ -3,7 +3,6 @@ module QuantumCollocation using Reexport @reexport using DirectTrajOpt -@reexport using PiccoloQuantumObjects include("piccolo_options.jl") @reexport using .Options From ec4d2947902e6e8db78ddc07f8cfb88622fdca71 Mon Sep 17 00:00:00 2001 From: Andy Goldschmidt Date: Thu, 13 Mar 2025 17:40:41 -0500 Subject: [PATCH 12/30] remove stale usings --- src/problem_templates/_problem_templates.jl | 2 -- src/trajectory_initialization.jl | 7 +------ 2 files changed, 1 insertion(+), 8 deletions(-) diff --git a/src/problem_templates/_problem_templates.jl b/src/problem_templates/_problem_templates.jl index b9c0bc3e..e413de65 100644 --- a/src/problem_templates/_problem_templates.jl +++ b/src/problem_templates/_problem_templates.jl @@ -1,7 +1,5 @@ module ProblemTemplates -using ..DirectSums -using ..Rollouts using ..TrajectoryInitialization using ..QuantumObjectives using ..QuantumConstraints diff --git a/src/trajectory_initialization.jl b/src/trajectory_initialization.jl index 81026f75..5102cfa5 100644 --- a/src/trajectory_initialization.jl +++ b/src/trajectory_initialization.jl @@ -6,18 +6,13 @@ export unitary_linear_interpolation export initialize_trajectory using NamedTrajectories +using PiccoloQuantumObjects using Distributions using ExponentialAction using LinearAlgebra using TestItems -using ..Isomorphisms -using ..QuantumSystems -using ..Rollouts -using ..EmbeddedOperators -using ..DirectSums - # ----------------------------------------------------------------------------- # # Initial states # From 6ed7d7e1e747f5c0271e02e64616537b607ab4d7 Mon Sep 17 00:00:00 2001 From: Andy Goldschmidt Date: Thu, 13 Mar 2025 20:02:14 -0500 Subject: [PATCH 13/30] add unitary problem templates to docs --- docs/Project.toml | 5 +- docs/{literate/man => dev}/ipopt_callbacks.jl | 6 +- docs/literate/man/problem_templates.jl | 146 ++++++++++++++++-- docs/literate/man/rollouts.jl | 16 -- docs/make.jl | 3 +- docs/src/index.md | 116 ++++++++++++++ docs/src/lib.md | 10 -- 7 files changed, 257 insertions(+), 45 deletions(-) rename docs/{literate/man => dev}/ipopt_callbacks.jl (95%) delete mode 100644 docs/literate/man/rollouts.jl create mode 100644 docs/src/index.md diff --git a/docs/Project.toml b/docs/Project.toml index b59a8c0d..8df91abc 100644 --- a/docs/Project.toml +++ b/docs/Project.toml @@ -3,9 +3,6 @@ Documenter = "e30172f5-a6a5-5a46-863b-614d45cd2de4" Literate = "98b081ad-f1c9-55d3-8b20-4c87d4299306" LiveServer = "16fef848-5104-11e9-1b77-fb7a48bbb589" NamedTrajectories = "538bc3a1-5ab9-4fc3-b776-35ca1e893e08" +PiccoloQuantumObjects = "5a402ddf-f93c-42eb-975e-5582dcda653d" QuantumCollocation = "0dc23a59-5ffb-49af-b6bd-932a8ae77adf" -DirectTrajOpt = "2b384925-53cb-4042-a8d2-6faa627467e1" Revise = "295af30f-e4ad-537b-8983-00126c2a3abe" - -[compat] -NamedTrajectories = "0.2" \ No newline at end of file diff --git a/docs/literate/man/ipopt_callbacks.jl b/docs/dev/ipopt_callbacks.jl similarity index 95% rename from docs/literate/man/ipopt_callbacks.jl rename to docs/dev/ipopt_callbacks.jl index c69a1876..fa072deb 100644 --- a/docs/literate/man/ipopt_callbacks.jl +++ b/docs/dev/ipopt_callbacks.jl @@ -1,9 +1,9 @@ # ```@meta # CollapsedDocStrings = true # ``` -# # IpOpt Callbacks +# # IPOPT Callbacks -# This page describes the callback functions that can be used with the IpOpt solver (in the future, may describe more general callback behavior). +# This page describes the callback functions that can be used with the IPOPT solver (in the future, may describe more general callback behavior). # ## Callbacks @@ -13,7 +13,7 @@ using NamedTrajectories import ..QuantumStateSmoothPulseProblem import ..Callbacks -# By default, IpOpt callbacks are called at each optimization step with the following signature: +# By default, IPOPT callbacks are called at each optimization step with the following signature: function full_argument_list_callback( alg_mod::Cint, iter_count::Cint, diff --git a/docs/literate/man/problem_templates.jl b/docs/literate/man/problem_templates.jl index 92f856cb..a1b4c67c 100644 --- a/docs/literate/man/problem_templates.jl +++ b/docs/literate/man/problem_templates.jl @@ -1,19 +1,145 @@ # ```@meta # CollapsedDocStrings = true # ``` +using NamedTrajectories +using PiccoloQuantumObjects +using QuantumCollocation -# # Problem Templates +#= +# Problem Templates -# We provide a number of problem templates for making it simple and easy to set up and solve certain types of quantum optimal control problems. These templates all construct a `DirectTrajOptProblem` object. The problem templates are: +We provide a number of problem templates for making it simple and easy to set up and solve +certain types of quantum optimal control problems. These templates all construct a +`DirectTrajOptProblem` object, which stores all the parts of the optimal control problem. -# ## Unitary Smooth Pulse Problem +This page provides a brief overview of each problem template, broken down by the state of +the problem being solved. -# ```@docs; canonical = false -# UnitarySmoothPulseProblem -# ``` +Unitary Problem Templates: +- [Unitary Smooth Pulse Problem](#Unitary-Smooth-Pulse-Problem) +- [Unitary Minimum Time Problem](#Unitary-Minimum-Time-Problem) +- [Unitary Sampling Problem](#Unitary-Sampling-Problem) -# ## Unitary Minimum Time Problem +Ket Problem Templates: +- [Quantum State Smooth Pulse Problem](#Quantum-State-Smooth-Pulse-Problem) +- [Quantum State Minimum Time Problem](#Quantum-State-Minimum-Time-Problem) +- [Quantum State Sampling Problem](#Quantum-State-Sampling-Problem) +=# -# ```@docs; canonical = false -# UnitaryMinimumTimeProblem -# ``` +# ----- +# ## Unitary Problem Templates + +#= +#### Unitary Smooth Pulse Problem + +```@docs; canonical = false +UnitarySmoothPulseProblem +``` + +Each problem starts with a `QuantumSystem` object, which is used to define the system's +Hamiltonian and control operators. The goal is to find a control pulse that drives the +system to a target unitary operator, `U_goal`. The problem is solved by minimizing the +difference between the target unitary and the unitary generated by the control pulse. +=# + +system = QuantumSystem(0.1 * PAULIS.Z, [PAULIS.X, PAULIS.Y]) +U_goal = GATES.H +T = 51 +Δt = 0.2 + +prob = UnitarySmoothPulseProblem(system, U_goal, T, Δt); + +# _check the fidelity before solving_ +println("Before: ", unitary_rollout_fidelity(prob.trajectory, system)) + +# _finding an optimal control is as simple as calling `solve!`_ +solve!(prob, max_iter=100, verbose=true, print_level=1); + +# _check the fidelity after solving_ +println("After: ", unitary_rollout_fidelity(prob.trajectory, system)) + +#= +The `NamedTrajectory` object stores the control pulse, state variables, and the time grid. +=# + +# _extract the control pulses_ +prob.trajectory.a |> size + +#= +#### Unitary Minimum Time Problem + +```@docs; canonical = false +UnitaryMinimumTimeProblem +``` + +The goal of this problem is to find the shortest time it takes to drive the system to a +target unitary operator, `U_goal`. The problem is solved by minimizing the sum of all of +the time steps. It is constructed from `prob` in the previous example. +=# + +min_prob = UnitaryMinimumTimeProblem(prob, U_goal); + +# _check the previous duration_ +println("Duration before: ", get_duration(prob.trajectory)) + +# _solve the minimum time problem_ +solve!(min_prob, max_iter=100, verbose=true, print_level=1); + +# _check the new duration_ +println("Duration after: ", get_duration(min_prob.trajectory)) + +# _the fidelity is preserved by a constraint_ +println("Fidelity after: ", unitary_rollout_fidelity(min_prob.trajectory, system)) + +#= +#### Unitary Sampling Problem + +```@docs; canonical = false +UnitarySamplingProblem +``` + +A sampling problem is used to solve over multiple quantum systems with the same control. +This can be useful for exploring robustness, for example. +=# + +# _create a sampling problem_ +driftless_system = QuantumSystem([PAULIS.X, PAULIS.Y]) +sampling_prob = UnitarySamplingProblem([system, driftless_system], U_goal, T, Δt); + +# _solve the sampling problem_ +solve!(sampling_prob, max_iter=100, verbose=true, print_level=1); + +# _new keys are addded to the trajectory for the new states_ +println(sampling_prob.trajectory.state_names) + +# _check the fidelity of the sampling problem_ +println("After on original system: ", unitary_rollout_fidelity(sampling_prob.trajectory, system, unitary_name=:Ũ⃗_system_1)) +println("After on new system: ", unitary_rollout_fidelity(sampling_prob.trajectory, driftless_system, unitary_name=:Ũ⃗_system_1)) + +# _compare this to using the original problem on the new system_ +println("After on new system with original problem: ", unitary_rollout_fidelity(prob.trajectory, driftless_system)) + + +# ----- +# ## Ket Problem Templates + +#= +#### Quantum State Smooth Pulse Problem +```@docs; canonical = false +QuantumStateSmoothPulseProblem +``` +=# + +#= +#### Quantum State Minimum Time Problem +```@docs; canonical = false +QuantumStateMinimumTimeProblem +``` +=# + +#= +#### Quantum State Sampling Problem +```@docs; canonical = false +QuantumStateSamplingProblem +``` +=# diff --git a/docs/literate/man/rollouts.jl b/docs/literate/man/rollouts.jl deleted file mode 100644 index 87aacad6..00000000 --- a/docs/literate/man/rollouts.jl +++ /dev/null @@ -1,16 +0,0 @@ -# ```@meta -# CollapsedDocStrings = true -# ``` - -# # Rollouts - -using QuantumCollocation -using SparseArrays # for visualization - -#= - -Rollouts are a way to visualize the evolution of a quantum system. The various rollout -functions provided in this module allow for the validation of the solution to a quantum -optimal control problem. - -=# \ No newline at end of file diff --git a/docs/make.jl b/docs/make.jl index 54cde02f..1793984a 100644 --- a/docs/make.jl +++ b/docs/make.jl @@ -16,12 +16,11 @@ open(joinpath(@__DIR__, "src", "index.md"), write = true) do io end end +# TODO: Callbacks are currently broken pages = [ "Home" => "index.md", "Manual" => [ "Problem Templates" => "generated/man/problem_templates.md", - "Rollouts" => "generated/man/rollouts.md", - "Callbacks" => "generated/man/ipopt_callbacks.md", ], "Library" => "lib.md", ] diff --git a/docs/src/index.md b/docs/src/index.md new file mode 100644 index 00000000..83d0ef82 --- /dev/null +++ b/docs/src/index.md @@ -0,0 +1,116 @@ +```@raw html + + +
+ + + + + + + +
+ Documentation +
+ + Stable + + + Dev + + + arXiv + + 		+ Build Status +
+ + Build Status + + + Coverage + + 		+ License +
+ + MIT License + + 		+ Support +
+ + Unitary Fund + +
+
+ +
+ Quickly set up and solve problem templates for quantum optimal control +
+
+``` + +# QuantumCollocation.jl + +**QuantumCollocation.jl** sets up and solves *quantum control problems* as nonlinear programs (NLPs). In this context, a generic quantum control problem looks like +```math +\begin{aligned} + \arg \min_{\mathbf{Z}}\quad & J(\mathbf{Z}) \\ + \nonumber \text{s.t.}\qquad & \mathbf{f}(\mathbf{Z}) = 0 \\ + \nonumber & \mathbf{g}(\mathbf{Z}) \le 0 +\end{aligned} +``` +where $\mathbf{Z}$ is a trajectory containing states and controls, from [NamedTrajectories.jl](https://github.com/harmoniqs/NamedTrajectories.jl). + +### Problem Templates + +*Problem Templates* are reusable design patterns for setting up and solving common quantum control problems. + +For example, a *UnitarySmoothPulseProblem* is tasked with generating a *pulse* sequence $a_{1:T-1}$ in orderd to minimize infidelity, subject to constraints from the Schroedinger equation, +```math + \begin{aligned} + \arg \min_{\mathbf{Z}}\quad & |1 - \mathcal{F}(U_T, U_\text{goal})| \\ + \nonumber \text{s.t.} + \qquad & U_{t+1} = \exp\{- i H(a_t) \Delta t_t \} U_t, \quad \forall\, t \\ + \end{aligned} +``` +while a *UnitaryMinimumTimeProblem* minimizes time and constrains fidelity, +```math + \begin{aligned} + \arg \min_{\mathbf{Z}}\quad & \sum_{t=1}^T \Delta t_t \\ + \qquad & U_{t+1} = \exp\{- i H(a_t) \Delta t_t \} U_t, \quad \forall\, t \\ + \nonumber & \mathcal{F}(U_T, U_\text{goal}) \ge 0.9999 + \end{aligned} +``` + +In each case, the dynamics between *knot points* $(U_t, a_t)$ and $(U_{t+1}, a_{t+1})$ are enforced as constraints on the states, which are free variables in the solver; this optimization framework is called *direct collocation*. For details of our implementation please see our award-winning IEEE QCE 2023 paper, [Direct Collocation for Quantum Optimal Control](https://arxiv.org/abs/2305.03261). If you use QuantumCollocation.jl in your work, please cite :raised_hands:! + +Problem templates give the user the ability to add other constraints and objective functions to this problem and solve it efficiently using [Ipopt.jl](https://github.com/jump-dev/Ipopt.jl) and [MathOptInterface.jl](https://github.com/jump-dev/MathOptInterface.jl) under the hood. + +## Installation + +This package is registered! To install, enter the Julia REPL, type `]` to enter pkg mode, and then run: +```julia +pkg> add QuantumCollocation +``` + +## Example + +### Single Qubit Hadamard Gate +```Julia +using QuantumCollocation + +T = 50 +Δt = 0.2 +system = QuantumSystem([PAULIS[:X], PAULIS[:Y]]) +U_goal = GATES.H + +# Hadamard Gate +prob = UnitarySmoothPulseProblem(system, U_goal, T, Δt) +solve!(prob, max_iter=100) +``` diff --git a/docs/src/lib.md b/docs/src/lib.md index 835b8de1..11d9e133 100644 --- a/docs/src/lib.md +++ b/docs/src/lib.md @@ -10,16 +10,6 @@ Modules = [QuantumCollocation.ProblemTemplates] Modules = [QuantumCollocation.Options] ``` -## Rollouts -```@autodocs -Modules = [QuantumCollocation.Rollouts] -``` - -## Direct Sums -```@autodocs -Modules = [QuantumCollocation.DirectSums] -``` - ## Trajectory Initialization ```@autodocs Modules = [QuantumCollocation.TrajectoryInitialization] From 7daf7eb07288e59f0f0cbd5fb3afde806920687c Mon Sep 17 00:00:00 2001 From: Andy Goldschmidt Date: Thu, 13 Mar 2025 20:42:38 -0500 Subject: [PATCH 14/30] state templates in docs --- docs/literate/man/problem_templates.jl | 132 +++++++++++++++++-------- 1 file changed, 92 insertions(+), 40 deletions(-) diff --git a/docs/literate/man/problem_templates.jl b/docs/literate/man/problem_templates.jl index a1b4c67c..75107fd0 100644 --- a/docs/literate/man/problem_templates.jl +++ b/docs/literate/man/problem_templates.jl @@ -15,17 +15,100 @@ certain types of quantum optimal control problems. These templates all construct This page provides a brief overview of each problem template, broken down by the state of the problem being solved. +Ket Problem Templates: +- [Quantum State Smooth Pulse Problem](#Quantum-State-Smooth-Pulse-Problem) +- [Quantum State Minimum Time Problem](#Quantum-State-Minimum-Time-Problem) +- [Quantum State Sampling Problem](#Quantum-State-Sampling-Problem) + Unitary Problem Templates: - [Unitary Smooth Pulse Problem](#Unitary-Smooth-Pulse-Problem) - [Unitary Minimum Time Problem](#Unitary-Minimum-Time-Problem) - [Unitary Sampling Problem](#Unitary-Sampling-Problem) +=# -Ket Problem Templates: -- [Quantum State Smooth Pulse Problem](#Quantum-State-Smooth-Pulse-Problem) -- [Quantum State Minimum Time Problem](#Quantum-State-Minimum-Time-Problem) -- [Quantum State Sampling Problem](#Quantum-State-Sampling-Problem) +# ----- +# ## Ket Problem Templates + +#= +#### Quantum State Smooth Pulse Problem +```@docs; canonical = false +QuantumStateSmoothPulseProblem +``` + +Each problem starts with a `QuantumSystem` object, which is used to define the system's +Hamiltonian and control operators. The goal is to find a control pulse that drives the +intial state, `ψ_init`, to a target state, `ψ_goal`. +=# + +# _define the quantum system_ +system = QuantumSystem(0.1 * PAULIS.Z, [PAULIS.X, PAULIS.Y]) +ψ_init = Vector{ComplexF64}([1.0, 0.0]) +ψ_goal = Vector{ComplexF64}([0.0, 1.0]) +T = 51 +Δt = 0.2 + +# _create the smooth pulse problem_ +state_prob = QuantumStateSmoothPulseProblem(system, ψ_init, ψ_goal, T, Δt); + +# _check the fidelity before solving_ +println("Before: ", rollout_fidelity(state_prob.trajectory, system)) + +# _solve the problem_ +solve!(state_prob, max_iter=100, verbose=true, print_level=1); + +# _check the fidelity after solving_ +println("After: ", rollout_fidelity(state_prob.trajectory, system)) + +# _extract the control pulses_ +state_prob.trajectory.a |> size + +#= +#### Quantum State Minimum Time Problem +```@docs; canonical = false +QuantumStateMinimumTimeProblem +``` +=# + +# _create the minimum time problem_ +min_state_prob = QuantumStateMinimumTimeProblem(state_prob, ψ_goal); + +# _check the previous duration_ +println("Duration before: ", get_duration(state_prob.trajectory)) + +# _solve the minimum time problem_ +solve!(min_state_prob, max_iter=100, verbose=true, print_level=1); + +# _check the new duration_ +println("Duration after: ", get_duration(min_state_prob.trajectory)) + +# _the fidelity is preserved by a constraint_ +println("Fidelity after: ", rollout_fidelity(min_state_prob.trajectory, system)) + +#= +#### Quantum State Sampling Problem +```@docs; canonical = false +QuantumStateSamplingProblem +``` =# +# _create a sampling problem_ +driftless_system = QuantumSystem([PAULIS.X, PAULIS.Y]) +sampling_state_prob = QuantumStateSamplingProblem([system, driftless_system], ψ_init, ψ_goal, T, Δt); + +# _new keys are added to the trajectory for the new states_ +println(sampling_state_prob.trajectory.state_names) + +# _solve the sampling problem for a few iterations_ +solve!(sampling_state_prob, max_iter=25, verbose=true, print_level=1); + +# _check the fidelity of the sampling problem (use the updated key to get the initial and goal)_ +println("After (original system): ", rollout_fidelity(sampling_state_prob.trajectory, system, state_name=:ψ̃1_system_1)) +println("After (new system): ", rollout_fidelity(sampling_state_prob.trajectory, driftless_system, state_name=:ψ̃1_system_1)) + +# _compare this to using the original problem on the new system_ +println("After (new system, original `prob`): ", rollout_fidelity(state_prob.trajectory, driftless_system)) + + # ----- # ## Unitary Problem Templates @@ -36,10 +119,10 @@ Ket Problem Templates: UnitarySmoothPulseProblem ``` -Each problem starts with a `QuantumSystem` object, which is used to define the system's -Hamiltonian and control operators. The goal is to find a control pulse that drives the -system to a target unitary operator, `U_goal`. The problem is solved by minimizing the -difference between the target unitary and the unitary generated by the control pulse. +The `UnitarySmoothPulseProblem` is similar to the `QuantumStateSmoothPulseProblem`, but +instead of driving the system to a target state, the goal is to drive the system to a +target unitary operator, `U_goal`. + =# system = QuantumSystem(0.1 * PAULIS.Z, [PAULIS.X, PAULIS.Y]) @@ -106,40 +189,9 @@ This can be useful for exploring robustness, for example. driftless_system = QuantumSystem([PAULIS.X, PAULIS.Y]) sampling_prob = UnitarySamplingProblem([system, driftless_system], U_goal, T, Δt); -# _solve the sampling problem_ -solve!(sampling_prob, max_iter=100, verbose=true, print_level=1); - # _new keys are addded to the trajectory for the new states_ println(sampling_prob.trajectory.state_names) -# _check the fidelity of the sampling problem_ -println("After on original system: ", unitary_rollout_fidelity(sampling_prob.trajectory, system, unitary_name=:Ũ⃗_system_1)) -println("After on new system: ", unitary_rollout_fidelity(sampling_prob.trajectory, driftless_system, unitary_name=:Ũ⃗_system_1)) - -# _compare this to using the original problem on the new system_ -println("After on new system with original problem: ", unitary_rollout_fidelity(prob.trajectory, driftless_system)) +# _the `solve!` proceeds as in the [Quantum State Sampling Problem](#Quantum-State-Sampling-Problem)]_ -# ----- -# ## Ket Problem Templates - -#= -#### Quantum State Smooth Pulse Problem -```@docs; canonical = false -QuantumStateSmoothPulseProblem -``` -=# - -#= -#### Quantum State Minimum Time Problem -```@docs; canonical = false -QuantumStateMinimumTimeProblem -``` -=# - -#= -#### Quantum State Sampling Problem -```@docs; canonical = false -QuantumStateSamplingProblem -``` -=# From e85530794e4cecee94536e44c00f274ad755f4e9 Mon Sep 17 00:00:00 2001 From: Jack Champagne Date: Thu, 13 Mar 2025 21:53:09 -0400 Subject: [PATCH 15/30] add using PQO because of removal of reexport --- Project.toml | 3 +-- src/problem_templates/quantum_state_minimum_time_problem.jl | 1 + src/problem_templates/quantum_state_sampling_problem.jl | 4 ++++ src/problem_templates/quantum_state_smooth_pulse_problem.jl | 4 ++++ src/problem_templates/unitary_minimum_time_problem.jl | 1 + src/problem_templates/unitary_sampling_problem.jl | 2 ++ src/problem_templates/unitary_smooth_pulse_problem.jl | 6 ++++++ src/quantum_system_templates/rydberg.jl | 2 ++ src/trajectory_initialization.jl | 3 +++ 9 files changed, 24 insertions(+), 2 deletions(-) diff --git a/Project.toml b/Project.toml index 600504cc..6aa13114 100644 --- a/Project.toml +++ b/Project.toml @@ -4,7 +4,7 @@ authors = ["Aaron Trowbridge and contributors"] version = "0.7.0" [deps] -DirectTrajOpt = "82ab4c96-bdfe-4573-b0a2-347b6440cc7b" +DirectTrajOpt = "c823fa1f-8872-4af5-b810-2b9b72bbbf56" Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f" ExponentialAction = "e24c0720-ea99-47e8-929e-571b494574d3" Interpolations = "a98d9a8b-a2ab-59e6-89dd-64a1c18fca59" @@ -21,7 +21,6 @@ TestItems = "1c621080-faea-4a02-84b6-bbd5e436b8fe" TrajectoryIndexingUtils = "6dad8b7f-dd9a-4c28-9b70-85b9a079bfc8" [compat] -DirectTrajOpt = "0.1" Distributions = "0.25" ExponentialAction = "0.2" Interpolations = "0.15" diff --git a/src/problem_templates/quantum_state_minimum_time_problem.jl b/src/problem_templates/quantum_state_minimum_time_problem.jl index abef7621..481c244d 100644 --- a/src/problem_templates/quantum_state_minimum_time_problem.jl +++ b/src/problem_templates/quantum_state_minimum_time_problem.jl @@ -81,6 +81,7 @@ end @testitem "Test quantum state minimum time" begin using NamedTrajectories + using PiccoloQuantumObjects T = 51 Δt = 0.2 diff --git a/src/problem_templates/quantum_state_sampling_problem.jl b/src/problem_templates/quantum_state_sampling_problem.jl index 26d196d6..0859e3d1 100644 --- a/src/problem_templates/quantum_state_sampling_problem.jl +++ b/src/problem_templates/quantum_state_sampling_problem.jl @@ -150,6 +150,8 @@ end # *************************************************************************** # @testitem "Sample systems with single initial, target" begin + using PiccoloQuantumObjects + T = 50 Δt = 0.2 sys1 = QuantumSystem(0.3 * GATES[:Z], [GATES[:X], GATES[:Y]]) @@ -181,6 +183,8 @@ end end @testitem "Sample systems with multiple initial, target" begin + using PiccoloQuantumObjects + T = 50 Δt = 0.2 sys1 = QuantumSystem(0.3 * GATES[:Z], [GATES[:X], GATES[:Y]]) diff --git a/src/problem_templates/quantum_state_smooth_pulse_problem.jl b/src/problem_templates/quantum_state_smooth_pulse_problem.jl index 8d1b82f3..f5d9798a 100644 --- a/src/problem_templates/quantum_state_smooth_pulse_problem.jl +++ b/src/problem_templates/quantum_state_smooth_pulse_problem.jl @@ -188,6 +188,8 @@ end # *************************************************************************** # @testitem "Test quantum state smooth pulse" begin + using PiccoloQuantumObjects + T = 51 Δt = 0.2 sys = QuantumSystem(0.1 * GATES[:Z], [GATES[:X], GATES[:Y]]) @@ -207,6 +209,8 @@ end end @testitem "Test multiple quantum states smooth pulse" begin + using PiccoloQuantumObjects + T = 50 Δt = 0.2 sys = QuantumSystem(0.1 * GATES[:Z], [GATES[:X], GATES[:Y]]) diff --git a/src/problem_templates/unitary_minimum_time_problem.jl b/src/problem_templates/unitary_minimum_time_problem.jl index 2aa2a32d..49a3f82d 100644 --- a/src/problem_templates/unitary_minimum_time_problem.jl +++ b/src/problem_templates/unitary_minimum_time_problem.jl @@ -95,6 +95,7 @@ end @testitem "Minimum time Hadamard gate" begin using NamedTrajectories + using PiccoloQuantumObjects H_drift = PAULIS[:Z] H_drives = [PAULIS[:X], PAULIS[:Y]] diff --git a/src/problem_templates/unitary_sampling_problem.jl b/src/problem_templates/unitary_sampling_problem.jl index 54116211..7e334079 100644 --- a/src/problem_templates/unitary_sampling_problem.jl +++ b/src/problem_templates/unitary_sampling_problem.jl @@ -164,6 +164,8 @@ end # *************************************************************************** # @testitem "Sample robustness test" begin + using PiccoloQuantumObjects + T = 50 Δt = 0.2 timesteps = fill(Δt, T) diff --git a/src/problem_templates/unitary_smooth_pulse_problem.jl b/src/problem_templates/unitary_smooth_pulse_problem.jl index 867a4d6d..07ba5b46 100644 --- a/src/problem_templates/unitary_smooth_pulse_problem.jl +++ b/src/problem_templates/unitary_smooth_pulse_problem.jl @@ -166,6 +166,8 @@ end # *************************************************************************** # @testitem "Hadamard gate" begin + using PiccoloQuantumObjects + sys = QuantumSystem(GATES[:Z], [GATES[:X], GATES[:Y]]) U_goal = GATES[:H] T = 51 @@ -184,6 +186,8 @@ end end @testitem "Hadamard gate with bound states and control norm constraint" begin + using PiccoloQuantumObjects + sys = QuantumSystem(GATES[:Z], [GATES[:X], GATES[:Y]]) U_goal = GATES[:H] T = 51 @@ -205,6 +209,8 @@ end end @testitem "EmbeddedOperator Hadamard gate" begin + using PiccoloQuantumObjects + a = annihilate(3) sys = QuantumSystem([(a + a')/2, (a - a')/(2im)]) U_goal = EmbeddedOperator(GATES[:H], sys) diff --git a/src/quantum_system_templates/rydberg.jl b/src/quantum_system_templates/rydberg.jl index 761423c7..3abd06bf 100644 --- a/src/quantum_system_templates/rydberg.jl +++ b/src/quantum_system_templates/rydberg.jl @@ -120,5 +120,7 @@ function RydbergChainSystem(; end @testitem "Rydberg system test" begin + using PiccoloQuantumObjects + @test RydbergChainSystem(N=3,cutoff_order=2,all2all=false) isa QuantumSystem end diff --git a/src/trajectory_initialization.jl b/src/trajectory_initialization.jl index 5102cfa5..3c329801 100644 --- a/src/trajectory_initialization.jl +++ b/src/trajectory_initialization.jl @@ -582,6 +582,7 @@ end @testitem "Geodesic" begin using LinearAlgebra + using PiccoloQuantumObjects ## Group 1: identity to X (π rotation) @@ -638,6 +639,8 @@ end @testitem "unitary trajectory initialization" begin using NamedTrajectories + using PiccoloQuantumObjects + U_goal = GATES[:X] T = 10 Δt = 0.1 From e1374ee98539373120cddb6a7e6f293ea539a298 Mon Sep 17 00:00:00 2001 From: Andy Goldschmidt Date: Thu, 13 Mar 2025 20:55:35 -0500 Subject: [PATCH 16/30] patch: missing single state min time method --- .../quantum_state_minimum_time_problem.jl | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/src/problem_templates/quantum_state_minimum_time_problem.jl b/src/problem_templates/quantum_state_minimum_time_problem.jl index 481c244d..d0a6c8b2 100644 --- a/src/problem_templates/quantum_state_minimum_time_problem.jl +++ b/src/problem_templates/quantum_state_minimum_time_problem.jl @@ -77,6 +77,14 @@ function QuantumStateMinimumTimeProblem( ) end +function QuantumStateMinimumTimeProblem( + prob::DirectTrajOptProblem, + ψ_goal::AbstractVector{<:ComplexF64}; + kwargs... +) + return QuantumStateMinimumTimeProblem(prob, [ψ_goal]; kwargs...) +end + # *************************************************************************** # @testitem "Test quantum state minimum time" begin From 8ef5fbd55f6e6545b499716b7157b7883d24ea92 Mon Sep 17 00:00:00 2001 From: bbhattacharyya1729 Date: Fri, 21 Mar 2025 12:03:35 -0500 Subject: [PATCH 17/30] Added Adjoint Integrator --- src/problem_templates/_problem_templates.jl | 4 + .../adjoint_smooth_pulse_problem.jl | 94 +++++++++++++++++++ .../unitary_smooth_pulse_problem.jl | 2 +- src/quantum_integrators.jl | 14 +++ 4 files changed, 113 insertions(+), 1 deletion(-) create mode 100644 src/problem_templates/adjoint_smooth_pulse_problem.jl diff --git a/src/problem_templates/_problem_templates.jl b/src/problem_templates/_problem_templates.jl index fd6e512d..bf97291b 100644 --- a/src/problem_templates/_problem_templates.jl +++ b/src/problem_templates/_problem_templates.jl @@ -1,5 +1,7 @@ module ProblemTemplates +export apply_piccolo_options! + using ..TrajectoryInitialization using ..QuantumObjectives using ..QuantumConstraints @@ -17,6 +19,8 @@ using JLD2 using TestItems include("unitary_smooth_pulse_problem.jl") +include("adjoint_smooth_pulse_problem.jl") + include("unitary_minimum_time_problem.jl") include("unitary_sampling_problem.jl") diff --git a/src/problem_templates/adjoint_smooth_pulse_problem.jl b/src/problem_templates/adjoint_smooth_pulse_problem.jl new file mode 100644 index 00000000..0037140a --- /dev/null +++ b/src/problem_templates/adjoint_smooth_pulse_problem.jl @@ -0,0 +1,94 @@ +export AdjointUnitarySmoothPulseProblem + +function AdjointUnitarySmoothPulseProblem( + system::AbstractQuantumSystem, + goal::AbstractPiccoloOperator, + T::Int, + Δt::Union{Float64, <:AbstractVector{Float64}}; + unitary_integrator=AdjointUnitaryIntegrator, + state_name::Symbol = :Ũ⃗, + state_adjoint_name::Symbol = :Ũ⃗ₐ, + control_name::Symbol = :a, + timestep_name::Symbol = :Δt, + init_trajectory::Union{NamedTrajectory, Nothing}=nothing, + a_guess::Union{Matrix{Float64}, Nothing}=nothing, + a_bound::Float64=1.0, + a_bounds=fill(a_bound, system.n_drives), + da_bound::Float64=Inf, + da_bounds::Vector{Float64}=fill(da_bound, system.n_drives), + dda_bound::Float64=1.0, + dda_bounds::Vector{Float64}=fill(dda_bound, system.n_drives), + Δt_min::Float64=Δt isa Float64 ? 0.5 * Δt : 0.5 * mean(Δt), + Δt_max::Float64=Δt isa Float64 ? 1.5 * Δt : 1.5 * mean(Δt), + Q::Float64=100.0, + R=1e-2, + R_a::Union{Float64, Vector{Float64}}=R, + R_da::Union{Float64, Vector{Float64}}=R, + R_dda::Union{Float64, Vector{Float64}}=R, + constraints::Vector{<:AbstractConstraint}=AbstractConstraint[], + piccolo_options::PiccoloOptions=PiccoloOptions(), +) + if piccolo_options.verbose + println(" constructing UnitarySmoothPulseProblem...") + println("\tusing integrator: $(typeof(unitary_integrator))") + end + + # Trajectory + if !isnothing(init_trajectory) + traj = init_trajectory + else + traj = initialize_trajectory( + goal, + T, + Δt, + system.n_drives, + (a_bounds, da_bounds, dda_bounds); + state_name=state_name, + control_name=control_name, + timestep_name=timestep_name, + Δt_bounds=(Δt_min, Δt_max), + zero_initial_and_final_derivative=piccolo_options.zero_initial_and_final_derivative, + geodesic=piccolo_options.geodesic, + bound_state=piccolo_options.bound_state, + a_guess=a_guess, + system=system, + rollout_integrator=piccolo_options.rollout_integrator, + verbose=piccolo_options.verbose + ) + end + + # adj = adjoint_unitary_rollout(traj,system)[2] + # add_component!(traj,state_adjoint_name,adj;type=:state) + + + # Objective + J = UnitaryInfidelityLoss(goal, state_name, traj; Q=Q) + + control_names = [ + name for name ∈ traj.names + if endswith(string(name), string(control_name)) + ] + + J += QuadraticRegularizer(control_names[1], traj, R_a) + J += QuadraticRegularizer(control_names[2], traj, R_da) + J += QuadraticRegularizer(control_names[3], traj, R_dda) + + # Optional Piccolo constraints and objectives + apply_piccolo_options!( + J, constraints, piccolo_options, traj, state_name, timestep_name; + state_leakage_indices=goal isa EmbeddedOperator ? get_leakage_indices(goal) : nothing + ) + + integrators = [ + unitary_integrator(system, traj, state_name,state_adjoint_name,control_name), + DerivativeIntegrator(traj, control_name, control_names[2]), + DerivativeIntegrator(traj, control_names[2], control_names[3]), + ] + + return DirectTrajOptProblem( + traj, + J, + integrators; + constraints=constraints + ) +end \ No newline at end of file diff --git a/src/problem_templates/unitary_smooth_pulse_problem.jl b/src/problem_templates/unitary_smooth_pulse_problem.jl index 107d0de4..a91e1f63 100644 --- a/src/problem_templates/unitary_smooth_pulse_problem.jl +++ b/src/problem_templates/unitary_smooth_pulse_problem.jl @@ -229,4 +229,4 @@ end @test final > initial end -# TODO: Test changing names of control, state, and timestep +# TODO: Test changing names of control, state, and timestep \ No newline at end of file diff --git a/src/quantum_integrators.jl b/src/quantum_integrators.jl index 4c8e144a..860a37d2 100644 --- a/src/quantum_integrators.jl +++ b/src/quantum_integrators.jl @@ -3,6 +3,7 @@ module QuantumIntegrators export KetIntegrator export UnitaryIntegrator export DensityMatrixIntegrator +export AdjointUnitaryIntegrator using LinearAlgebra using NamedTrajectories @@ -39,4 +40,17 @@ function DensityMatrixIntegrator( return BilinearIntegrator(sys.𝒢, traj, ρ̃, a) end + +function AdjointUnitaryIntegrator( + sys::ParameterizedQuantumSystem, + traj::NamedTrajectory, + Ũ⃗::Symbol, + Ũ⃗ₐ::Symbol, + a::Symbol +) + Ĝ = a_ -> [I(sys.levels) ⊗ sys.G(a_) I(sys.levels) ⊗ sys.Gₐ(a_) ; I(sys.levels) ⊗ sys.G(a_)*0 I(sys.levels) ⊗ sys.G(a_) ] + return AdjointBilinearIntegrator(Ĝ, traj, Ũ⃗, Ũ⃗ₐ, a) +end + + end \ No newline at end of file From 2b09f27d5cd373f7830c7a0fcd19279984e0d675 Mon Sep 17 00:00:00 2001 From: bbhattacharyya1729 Date: Fri, 21 Mar 2025 19:18:34 -0500 Subject: [PATCH 18/30] Fixed Adjoint --- .../adjoint_smooth_pulse_problem.jl | 32 +++++++++++++------ src/quantum_objectives.jl | 18 +++++++++++ src/trajectory_initialization.jl | 3 ++ 3 files changed, 44 insertions(+), 9 deletions(-) diff --git a/src/problem_templates/adjoint_smooth_pulse_problem.jl b/src/problem_templates/adjoint_smooth_pulse_problem.jl index 0037140a..1399d73d 100644 --- a/src/problem_templates/adjoint_smooth_pulse_problem.jl +++ b/src/problem_templates/adjoint_smooth_pulse_problem.jl @@ -1,10 +1,10 @@ export AdjointUnitarySmoothPulseProblem - function AdjointUnitarySmoothPulseProblem( - system::AbstractQuantumSystem, + system::ParameterizedQuantumSystem, goal::AbstractPiccoloOperator, T::Int, Δt::Union{Float64, <:AbstractVector{Float64}}; + times::Union{AbstractVector,Nothing}=nothing, unitary_integrator=AdjointUnitaryIntegrator, state_name::Symbol = :Ũ⃗, state_adjoint_name::Symbol = :Ũ⃗ₐ, @@ -20,16 +20,17 @@ function AdjointUnitarySmoothPulseProblem( dda_bounds::Vector{Float64}=fill(dda_bound, system.n_drives), Δt_min::Float64=Δt isa Float64 ? 0.5 * Δt : 0.5 * mean(Δt), Δt_max::Float64=Δt isa Float64 ? 1.5 * Δt : 1.5 * mean(Δt), - Q::Float64=100.0, + Q = 1.0, R=1e-2, R_a::Union{Float64, Vector{Float64}}=R, R_da::Union{Float64, Vector{Float64}}=R, R_dda::Union{Float64, Vector{Float64}}=R, constraints::Vector{<:AbstractConstraint}=AbstractConstraint[], piccolo_options::PiccoloOptions=PiccoloOptions(), + final_fidelity::Float64 = 1.0, ) if piccolo_options.verbose - println(" constructing UnitarySmoothPulseProblem...") + println(" constructing AdjointUnitarySmoothPulseProblem...") println("\tusing integrator: $(typeof(unitary_integrator))") end @@ -57,22 +58,35 @@ function AdjointUnitarySmoothPulseProblem( ) end - # adj = adjoint_unitary_rollout(traj,system)[2] - # add_component!(traj,state_adjoint_name,adj;type=:state) + adj = traj[state_name] + adj[:,1] *= 0 + + if !isnothing(init_trajectory) + adj = adjoint_unitary_rollout(traj,system;unitary_name=state_name,drive_name = control_name)[2] + end + add_component!(traj,state_adjoint_name,adj;type=:state) + traj.initial = merge(traj.initial, (state_adjoint_name => adj[:,1], )) - # Objective - J = UnitaryInfidelityLoss(goal, state_name, traj; Q=Q) + fidelity_constraint = FinalUnitaryFidelityConstraint( + goal, state_name, final_fidelity, traj + ) + + constraints = push!(constraints, fidelity_constraint) control_names = [ name for name ∈ traj.names if endswith(string(name), string(control_name)) ] - J += QuadraticRegularizer(control_names[1], traj, R_a) + J = QuadraticRegularizer(control_names[1], traj, R_a) J += QuadraticRegularizer(control_names[2], traj, R_da) J += QuadraticRegularizer(control_names[3], traj, R_dda) + if(!isnothing(times)) + J += UnitaryNormLoss(state_adjoint_name, traj, times; Q) + end + # Optional Piccolo constraints and objectives apply_piccolo_options!( J, constraints, piccolo_options, traj, state_name, timestep_name; diff --git a/src/quantum_objectives.jl b/src/quantum_objectives.jl index 7c085bdd..52fb5a5c 100644 --- a/src/quantum_objectives.jl +++ b/src/quantum_objectives.jl @@ -6,6 +6,7 @@ export density_matrix_pure_state_infidelity_loss export KetInfidelityLoss export UnitaryInfidelityLoss export DensityMatrixPureStateInfidelityLoss +export UnitaryNormLoss using LinearAlgebra using NamedTrajectories @@ -95,4 +96,21 @@ function DensityMatrixPureStateInfidelityLoss( return TerminalLoss(ℓ, ρ̃_name, traj; Q=Q) end + +function UnitaryNormLoss( + name::Symbol, + traj::NamedTrajectory, + times::AbstractVector; + Q::Float64=100.0 +) + ℓ = Ũ⃗-> 1/(Ũ⃗'Ũ⃗) * length(Ũ⃗) + return KnotPointObjective( + ℓ, + name, + traj; + Qs=Q * ones(length(times)), + times=times + ) +end + end \ No newline at end of file diff --git a/src/trajectory_initialization.jl b/src/trajectory_initialization.jl index 3c329801..7ab0cdd3 100644 --- a/src/trajectory_initialization.jl +++ b/src/trajectory_initialization.jl @@ -424,6 +424,7 @@ function initialize_trajectory( # Construct phase data phase_data = isnothing(phase_operators) ? nothing : π * randn(length(phase_operators)) + return initialize_trajectory( [Ũ⃗_traj], [Ũ⃗_init], @@ -438,6 +439,8 @@ function initialize_trajectory( ) end + + """ initialize_trajectory From a53ed73de07243c15f8d070737b47a863a5e85c9 Mon Sep 17 00:00:00 2001 From: bbhattacharyya1729 Date: Tue, 25 Mar 2025 19:56:07 -0500 Subject: [PATCH 19/30] Fixed Adjoint --- .../adjoint_smooth_pulse_problem.jl | 50 ++++++++++++++----- src/quantum_integrators.jl | 11 +++- src/quantum_objectives.jl | 10 +++- 3 files changed, 54 insertions(+), 17 deletions(-) diff --git a/src/problem_templates/adjoint_smooth_pulse_problem.jl b/src/problem_templates/adjoint_smooth_pulse_problem.jl index 1399d73d..7aeb8a8d 100644 --- a/src/problem_templates/adjoint_smooth_pulse_problem.jl +++ b/src/problem_templates/adjoint_smooth_pulse_problem.jl @@ -4,7 +4,8 @@ function AdjointUnitarySmoothPulseProblem( goal::AbstractPiccoloOperator, T::Int, Δt::Union{Float64, <:AbstractVector{Float64}}; - times::Union{AbstractVector,Nothing}=nothing, + times::Vector{<:Union{AbstractVector,Nothing}}=[nothing for s∈system.Gₐ], + down_times::Vector{<:Union{AbstractVector,Nothing}}=[nothing for s∈system.Gₐ], unitary_integrator=AdjointUnitaryIntegrator, state_name::Symbol = :Ũ⃗, state_adjoint_name::Symbol = :Ũ⃗ₐ, @@ -36,7 +37,7 @@ function AdjointUnitarySmoothPulseProblem( # Trajectory if !isnothing(init_trajectory) - traj = init_trajectory + traj = copy(init_trajectory) else traj = initialize_trajectory( goal, @@ -52,21 +53,36 @@ function AdjointUnitarySmoothPulseProblem( geodesic=piccolo_options.geodesic, bound_state=piccolo_options.bound_state, a_guess=a_guess, - system=system, rollout_integrator=piccolo_options.rollout_integrator, verbose=piccolo_options.verbose ) end - adj = traj[state_name] - adj[:,1] *= 0 - if !isnothing(init_trajectory) - adj = adjoint_unitary_rollout(traj,system;unitary_name=state_name,drive_name = control_name)[2] - end - add_component!(traj,state_adjoint_name,adj;type=:state) - traj.initial = merge(traj.initial, (state_adjoint_name => adj[:,1], )) + adj = [traj[state_name] for s ∈ system.Gₐ] + + + # for a∈adj + # a[:,1] *= 0 + # end + + + full_rollout = adjoint_unitary_rollout(traj, system ;unitary_name=state_name,drive_name = control_name)[2] + + for i in 1:length(system.Gₐ) + adj[i] = full_rollout[i] + end + + + state_adjoint_names = [add_suffix(state_adjoint_name,string(i)) for i in 1:length(system.Gₐ)] + + + for (name,a) in zip(state_adjoint_names,adj) + add_component!(traj,name,a;type=:state) + traj.initial = merge(traj.initial, (name=> a[:,1], )) + + end fidelity_constraint = FinalUnitaryFidelityConstraint( goal, state_name, final_fidelity, traj @@ -83,8 +99,16 @@ function AdjointUnitarySmoothPulseProblem( J += QuadraticRegularizer(control_names[2], traj, R_da) J += QuadraticRegularizer(control_names[3], traj, R_dda) - if(!isnothing(times)) - J += UnitaryNormLoss(state_adjoint_name, traj, times; Q) + for (name,t) ∈ zip(state_adjoint_names,times) + if(!isnothing(t)) + J += UnitaryNormLoss(name, traj, t; Q=Q) + end + end + + for (name,down_t) ∈ zip(state_adjoint_names,down_times) + if(!isnothing(down_t)) + J += UnitaryNormLoss(name, traj, down_t; Q=Q, rep = false) + end end # Optional Piccolo constraints and objectives @@ -94,7 +118,7 @@ function AdjointUnitarySmoothPulseProblem( ) integrators = [ - unitary_integrator(system, traj, state_name,state_adjoint_name,control_name), + unitary_integrator(system, traj, state_name,state_adjoint_names,control_name), DerivativeIntegrator(traj, control_name, control_names[2]), DerivativeIntegrator(traj, control_names[2], control_names[3]), ] diff --git a/src/quantum_integrators.jl b/src/quantum_integrators.jl index 860a37d2..a217e964 100644 --- a/src/quantum_integrators.jl +++ b/src/quantum_integrators.jl @@ -45,10 +45,17 @@ function AdjointUnitaryIntegrator( sys::ParameterizedQuantumSystem, traj::NamedTrajectory, Ũ⃗::Symbol, - Ũ⃗ₐ::Symbol, + Ũ⃗ₐ::Vector{Symbol}, a::Symbol ) - Ĝ = a_ -> [I(sys.levels) ⊗ sys.G(a_) I(sys.levels) ⊗ sys.Gₐ(a_) ; I(sys.levels) ⊗ sys.G(a_)*0 I(sys.levels) ⊗ sys.G(a_) ] + n_sys = length(sys.Gₐ) + + G = a_ -> I(sys.levels) ⊗ sys.G(a_) + + Gai = (i,a_) -> I(sys.levels) ⊗ sys.Gₐ[i](a_) + + Ĝ = a_ -> vcat(reduce(vcat,[[zeros(size(G(a_))[1],(i-1) * size(G(a_))[1]) G(a_) zeros(size(G(a_))[1],(n_sys-i) * size(G(a_))[1]) Gai(i,a_)] for i in 1:length(sys.Gₐ)]),[zeros(size(G(a_))[1],size(G(a_))[1]*n_sys) G(a_)]) + return AdjointBilinearIntegrator(Ĝ, traj, Ũ⃗, Ũ⃗ₐ, a) end diff --git a/src/quantum_objectives.jl b/src/quantum_objectives.jl index 52fb5a5c..79a7cdcf 100644 --- a/src/quantum_objectives.jl +++ b/src/quantum_objectives.jl @@ -101,9 +101,14 @@ function UnitaryNormLoss( name::Symbol, traj::NamedTrajectory, times::AbstractVector; - Q::Float64=100.0 + Q::Float64=100.0, + rep = true ) - ℓ = Ũ⃗-> 1/(Ũ⃗'Ũ⃗) * length(Ũ⃗) + if(rep) + ℓ = Ũ⃗-> 1/(Ũ⃗'Ũ⃗) * length(Ũ⃗) + else + ℓ = Ũ⃗-> (Ũ⃗'Ũ⃗) / length(Ũ⃗) + end return KnotPointObjective( ℓ, name, @@ -113,4 +118,5 @@ function UnitaryNormLoss( ) end + end \ No newline at end of file From a7228330c8dae9e033ecf9199cb5f6fa7c980385 Mon Sep 17 00:00:00 2001 From: bbhattacharyya1729 Date: Thu, 27 Mar 2025 12:28:34 -0500 Subject: [PATCH 20/30] Final Adjoint --- docs/Project.toml | 8 - docs/dev/ipopt_callbacks.jl | 88 -------- docs/literate/man/problem_templates.jl | 197 ------------------ docs/make.jl | 72 ------- docs/src/assets/animation.gif | Bin 1881284 -> 0 bytes docs/src/assets/logo.svg | 1 - docs/src/assets/piccolo_logo.svg | 1 - docs/src/index.md | 116 ----------- docs/src/lib.md | 26 --- .../adjoint_smooth_pulse_problem.jl | 18 +- src/quantum_integrators.jl | 19 +- src/quantum_objectives.jl | 4 +- 12 files changed, 32 insertions(+), 518 deletions(-) delete mode 100644 docs/Project.toml delete mode 100644 docs/dev/ipopt_callbacks.jl delete mode 100644 docs/literate/man/problem_templates.jl delete mode 100644 docs/make.jl delete mode 100644 docs/src/assets/animation.gif delete mode 100644 docs/src/assets/logo.svg delete mode 100644 docs/src/assets/piccolo_logo.svg delete mode 100644 docs/src/index.md delete mode 100644 docs/src/lib.md diff --git a/docs/Project.toml b/docs/Project.toml deleted file mode 100644 index 8df91abc..00000000 --- a/docs/Project.toml +++ /dev/null @@ -1,8 +0,0 @@ -[deps] -Documenter = "e30172f5-a6a5-5a46-863b-614d45cd2de4" -Literate = "98b081ad-f1c9-55d3-8b20-4c87d4299306" -LiveServer = "16fef848-5104-11e9-1b77-fb7a48bbb589" -NamedTrajectories = "538bc3a1-5ab9-4fc3-b776-35ca1e893e08" -PiccoloQuantumObjects = "5a402ddf-f93c-42eb-975e-5582dcda653d" -QuantumCollocation = "0dc23a59-5ffb-49af-b6bd-932a8ae77adf" -Revise = "295af30f-e4ad-537b-8983-00126c2a3abe" diff --git a/docs/dev/ipopt_callbacks.jl b/docs/dev/ipopt_callbacks.jl deleted file mode 100644 index fa072deb..00000000 --- a/docs/dev/ipopt_callbacks.jl +++ /dev/null @@ -1,88 +0,0 @@ -# ```@meta -# CollapsedDocStrings = true -# ``` -# # IPOPT Callbacks - -# This page describes the callback functions that can be used with the IPOPT solver (in the future, may describe more general callback behavior). - -# ## Callbacks - -using QuantumCollocation -using NamedTrajectories - -import ..QuantumStateSmoothPulseProblem -import ..Callbacks - -# By default, IPOPT callbacks are called at each optimization step with the following signature: -function full_argument_list_callback( - alg_mod::Cint, - iter_count::Cint, - obj_value::Float64, - inf_pr::Float64, - inf_du::Float64, - mu::Float64, - d_norm::Float64, - regularization_size::Float64, - alpha_du::Float64, - alpha_pr::Float64, - ls_trials::Cint, -) - return true -end - -# This gives the user access to some of the optimization state internals at each iteration. -# A callback function with any subset of these arguments can be passed into the `solve!` function via the `callback` keyword argument see below. - -# The callback function can be used to stop the optimization early by returning `false`. The following callback when passed to `solve!` will stop the optimization after the first iteration: -my_callback = (kwargs...) -> false - -# Single initial and target states -# -------------------------------- -T = 50 -Δt = 0.2 -sys = QuantumSystem(0.1 * GATES[:Z], [GATES[:X], GATES[:Y]]) -ψ_init = Vector{ComplexF64}([1.0, 0.0]) -ψ_target = Vector{ComplexF64}([0.0, 1.0]) - -prob = QuantumStateSmoothPulseProblem( - sys, ψ_init, ψ_target, T, Δt; - ipopt_options=IpoptOptions(print_level=1), - piccolo_options=PiccoloOptions(verbose=false) -) - - -# The callback function can be used to monitor the optimization progress, save intermediate results, or modify the optimization process. -# For example, the following callback function saves the optimization trajectory at each iteration - this can be useful for debugging or plotting the optimization progress. -# `trajectory_history_callback` from the `Callbacks` module -callback, trajectory_history = QuantumCollocation.Callbacks.trajectory_history_callback(prob) -solve!(prob, max_iter=20, callback=callback) - -# Save trajectory images into files which can be used to create a gif like the following: -for (iter, traj) in enumerate(trajectory_history) - str_index = lpad(iter, length(string(length(trajectory_history))), "0") - plot("./iteration-$str_index-trajectory.png", traj, [:ψ̃, :a], xlims=(-Δt, (T+5)*Δt), ylims=(ψ̃1 = (-2, 2), a = (-1.1, 1.1))) -end - -# ![pulse optimization animation](../../assets/animation.gif) - -# Using a callback to get the best trajectory from all the optimization iterations -sys2 = QuantumSystem(0.15 * GATES[:Z], [GATES[:X], GATES[:Y]]) -ψ_init2 = Vector{ComplexF64}([0.0, 1.0]) -ψ_target2 = Vector{ComplexF64}([1.0, 0.0]) - -# Using other callbacks from the callback library -# -------------------------------- -# Callback used here is `best_rollout_fidelity_callback` which appends the best trajectories based on monotonically increasing fidelity of the rollout -prob2 = QuantumStateSmoothPulseProblem( - sys2, ψ_init2, ψ_target2, T, Δt; - ipopt_options=IpoptOptions(print_level=1), - piccolo_options=PiccoloOptions(verbose=false) -) - -best_trajectory_callback, best_trajectory_list = best_rollout_fidelity_callback(prob2) -solve!(prob2, max_iter=20, callback=best_trajectory_callback) -# fidelity of the last iterate -@show Losses.fidelity(prob2) - -# fidelity of the best iterate -@show QuantumCollocation.fidelity(best_trajectory_list[end], prob2.system) diff --git a/docs/literate/man/problem_templates.jl b/docs/literate/man/problem_templates.jl deleted file mode 100644 index 75107fd0..00000000 --- a/docs/literate/man/problem_templates.jl +++ /dev/null @@ -1,197 +0,0 @@ -# ```@meta -# CollapsedDocStrings = true -# ``` -using NamedTrajectories -using PiccoloQuantumObjects -using QuantumCollocation - -#= -# Problem Templates - -We provide a number of problem templates for making it simple and easy to set up and solve -certain types of quantum optimal control problems. These templates all construct a -`DirectTrajOptProblem` object, which stores all the parts of the optimal control problem. - -This page provides a brief overview of each problem template, broken down by the state of -the problem being solved. - -Ket Problem Templates: -- [Quantum State Smooth Pulse Problem](#Quantum-State-Smooth-Pulse-Problem) -- [Quantum State Minimum Time Problem](#Quantum-State-Minimum-Time-Problem) -- [Quantum State Sampling Problem](#Quantum-State-Sampling-Problem) - -Unitary Problem Templates: -- [Unitary Smooth Pulse Problem](#Unitary-Smooth-Pulse-Problem) -- [Unitary Minimum Time Problem](#Unitary-Minimum-Time-Problem) -- [Unitary Sampling Problem](#Unitary-Sampling-Problem) -=# - -# ----- -# ## Ket Problem Templates - -#= -#### Quantum State Smooth Pulse Problem -```@docs; canonical = false -QuantumStateSmoothPulseProblem -``` - -Each problem starts with a `QuantumSystem` object, which is used to define the system's -Hamiltonian and control operators. The goal is to find a control pulse that drives the -intial state, `ψ_init`, to a target state, `ψ_goal`. -=# - -# _define the quantum system_ -system = QuantumSystem(0.1 * PAULIS.Z, [PAULIS.X, PAULIS.Y]) -ψ_init = Vector{ComplexF64}([1.0, 0.0]) -ψ_goal = Vector{ComplexF64}([0.0, 1.0]) -T = 51 -Δt = 0.2 - -# _create the smooth pulse problem_ -state_prob = QuantumStateSmoothPulseProblem(system, ψ_init, ψ_goal, T, Δt); - -# _check the fidelity before solving_ -println("Before: ", rollout_fidelity(state_prob.trajectory, system)) - -# _solve the problem_ -solve!(state_prob, max_iter=100, verbose=true, print_level=1); - -# _check the fidelity after solving_ -println("After: ", rollout_fidelity(state_prob.trajectory, system)) - -# _extract the control pulses_ -state_prob.trajectory.a |> size - -#= -#### Quantum State Minimum Time Problem -```@docs; canonical = false -QuantumStateMinimumTimeProblem -``` -=# - -# _create the minimum time problem_ -min_state_prob = QuantumStateMinimumTimeProblem(state_prob, ψ_goal); - -# _check the previous duration_ -println("Duration before: ", get_duration(state_prob.trajectory)) - -# _solve the minimum time problem_ -solve!(min_state_prob, max_iter=100, verbose=true, print_level=1); - -# _check the new duration_ -println("Duration after: ", get_duration(min_state_prob.trajectory)) - -# _the fidelity is preserved by a constraint_ -println("Fidelity after: ", rollout_fidelity(min_state_prob.trajectory, system)) - -#= -#### Quantum State Sampling Problem -```@docs; canonical = false -QuantumStateSamplingProblem -``` -=# - -# _create a sampling problem_ -driftless_system = QuantumSystem([PAULIS.X, PAULIS.Y]) -sampling_state_prob = QuantumStateSamplingProblem([system, driftless_system], ψ_init, ψ_goal, T, Δt); - -# _new keys are added to the trajectory for the new states_ -println(sampling_state_prob.trajectory.state_names) - -# _solve the sampling problem for a few iterations_ -solve!(sampling_state_prob, max_iter=25, verbose=true, print_level=1); - -# _check the fidelity of the sampling problem (use the updated key to get the initial and goal)_ -println("After (original system): ", rollout_fidelity(sampling_state_prob.trajectory, system, state_name=:ψ̃1_system_1)) -println("After (new system): ", rollout_fidelity(sampling_state_prob.trajectory, driftless_system, state_name=:ψ̃1_system_1)) - -# _compare this to using the original problem on the new system_ -println("After (new system, original `prob`): ", rollout_fidelity(state_prob.trajectory, driftless_system)) - - -# ----- -# ## Unitary Problem Templates - -#= -#### Unitary Smooth Pulse Problem - -```@docs; canonical = false -UnitarySmoothPulseProblem -``` - -The `UnitarySmoothPulseProblem` is similar to the `QuantumStateSmoothPulseProblem`, but -instead of driving the system to a target state, the goal is to drive the system to a -target unitary operator, `U_goal`. - -=# - -system = QuantumSystem(0.1 * PAULIS.Z, [PAULIS.X, PAULIS.Y]) -U_goal = GATES.H -T = 51 -Δt = 0.2 - -prob = UnitarySmoothPulseProblem(system, U_goal, T, Δt); - -# _check the fidelity before solving_ -println("Before: ", unitary_rollout_fidelity(prob.trajectory, system)) - -# _finding an optimal control is as simple as calling `solve!`_ -solve!(prob, max_iter=100, verbose=true, print_level=1); - -# _check the fidelity after solving_ -println("After: ", unitary_rollout_fidelity(prob.trajectory, system)) - -#= -The `NamedTrajectory` object stores the control pulse, state variables, and the time grid. -=# - -# _extract the control pulses_ -prob.trajectory.a |> size - -#= -#### Unitary Minimum Time Problem - -```@docs; canonical = false -UnitaryMinimumTimeProblem -``` - -The goal of this problem is to find the shortest time it takes to drive the system to a -target unitary operator, `U_goal`. The problem is solved by minimizing the sum of all of -the time steps. It is constructed from `prob` in the previous example. -=# - -min_prob = UnitaryMinimumTimeProblem(prob, U_goal); - -# _check the previous duration_ -println("Duration before: ", get_duration(prob.trajectory)) - -# _solve the minimum time problem_ -solve!(min_prob, max_iter=100, verbose=true, print_level=1); - -# _check the new duration_ -println("Duration after: ", get_duration(min_prob.trajectory)) - -# _the fidelity is preserved by a constraint_ -println("Fidelity after: ", unitary_rollout_fidelity(min_prob.trajectory, system)) - -#= -#### Unitary Sampling Problem - -```@docs; canonical = false -UnitarySamplingProblem -``` - -A sampling problem is used to solve over multiple quantum systems with the same control. -This can be useful for exploring robustness, for example. -=# - -# _create a sampling problem_ -driftless_system = QuantumSystem([PAULIS.X, PAULIS.Y]) -sampling_prob = UnitarySamplingProblem([system, driftless_system], U_goal, T, Δt); - -# _new keys are addded to the trajectory for the new states_ -println(sampling_prob.trajectory.state_names) - -# _the `solve!` proceeds as in the [Quantum State Sampling Problem](#Quantum-State-Sampling-Problem)]_ - - diff --git a/docs/make.jl b/docs/make.jl deleted file mode 100644 index 7323c6e8..00000000 --- a/docs/make.jl +++ /dev/null @@ -1,72 +0,0 @@ -using QuantumCollocation -using Documenter -using Literate - -push!(LOAD_PATH, joinpath(@__DIR__, "..", "src")) - -@info "Building Documenter site for QuantumCollocation.jl" -open(joinpath(@__DIR__, "src", "index.md"), write = true) do io - for line in eachline(joinpath(@__DIR__, "..", "README.md")) - if occursin("", line) - comment_content = match(r"", line).captures[1] - write(io, comment_content * "\n") - else - write(io, line * "\n") - end - end -end - -# TODO: Callbacks are currently broken -pages = [ - "Home" => "index.md", - "Manual" => [ - "Problem Templates" => "generated/man/problem_templates.md", - ], - "Library" => "lib.md", -] - -format = Documenter.HTML(; - prettyurls=get(ENV, "CI", "false") == "true", - canonical="https://docs.harmoniqs.co/QuantumCollocation.jl", - edit_link="main", - assets=String[], - mathengine = MathJax3(Dict( - :loader => Dict("load" => ["[tex]/physics"]), - :tex => Dict( - "inlineMath" => [["\$","\$"], ["\\(","\\)"]], - "tags" => "ams", - "packages" => [ - "base", - "ams", - "autoload", - "physics" - ], - ), - )), -) - -src = joinpath(@__DIR__, "src") -lit = joinpath(@__DIR__, "literate") - -lit_output = joinpath(src, "generated") - -for (root, _, files) ∈ walkdir(lit), file ∈ files - splitext(file)[2] == ".jl" || continue - ipath = joinpath(root, file) - opath = splitdir(replace(ipath, lit=>lit_output))[1] - Literate.markdown(ipath, opath) -end - -makedocs(; - modules=[QuantumCollocation], - authors="Aaron Trowbridge and contributors", - sitename="QuantumCollocation.jl", - format=format, - pages=pages, - warnonly=true, -) - -deploydocs(; - 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z>s;wtSG(R7uX)w$UisQrzy1}lffejv30qjh9u~2QRqSFJ+gQgw7P66*>|`lhS<7A) zvzgWGW@S0sS \ No newline at end of file diff --git a/docs/src/assets/piccolo_logo.svg b/docs/src/assets/piccolo_logo.svg deleted file mode 100644 index d91bee46..00000000 --- a/docs/src/assets/piccolo_logo.svg +++ /dev/null @@ -1 +0,0 @@ - \ No newline at end of file diff --git a/docs/src/index.md b/docs/src/index.md deleted file mode 100644 index 83d0ef82..00000000 --- a/docs/src/index.md +++ /dev/null @@ -1,116 +0,0 @@ -```@raw html - - -
- - - - - - - -
- Documentation -
- - Stable - - - Dev - - - arXiv - - 		- Build Status -
- - Build Status - - - Coverage - - 		- License -
- - MIT License - - 		- Support -
- - Unitary Fund - -
-
- -
- Quickly set up and solve problem templates for quantum optimal control -
-
-``` - -# QuantumCollocation.jl - -**QuantumCollocation.jl** sets up and solves *quantum control problems* as nonlinear programs (NLPs). In this context, a generic quantum control problem looks like -```math -\begin{aligned} - \arg \min_{\mathbf{Z}}\quad & J(\mathbf{Z}) \\ - \nonumber \text{s.t.}\qquad & \mathbf{f}(\mathbf{Z}) = 0 \\ - \nonumber & \mathbf{g}(\mathbf{Z}) \le 0 -\end{aligned} -``` -where $\mathbf{Z}$ is a trajectory containing states and controls, from [NamedTrajectories.jl](https://github.com/harmoniqs/NamedTrajectories.jl). - -### Problem Templates - -*Problem Templates* are reusable design patterns for setting up and solving common quantum control problems. - -For example, a *UnitarySmoothPulseProblem* is tasked with generating a *pulse* sequence $a_{1:T-1}$ in orderd to minimize infidelity, subject to constraints from the Schroedinger equation, -```math - \begin{aligned} - \arg \min_{\mathbf{Z}}\quad & |1 - \mathcal{F}(U_T, U_\text{goal})| \\ - \nonumber \text{s.t.} - \qquad & U_{t+1} = \exp\{- i H(a_t) \Delta t_t \} U_t, \quad \forall\, t \\ - \end{aligned} -``` -while a *UnitaryMinimumTimeProblem* minimizes time and constrains fidelity, -```math - \begin{aligned} - \arg \min_{\mathbf{Z}}\quad & \sum_{t=1}^T \Delta t_t \\ - \qquad & U_{t+1} = \exp\{- i H(a_t) \Delta t_t \} U_t, \quad \forall\, t \\ - \nonumber & \mathcal{F}(U_T, U_\text{goal}) \ge 0.9999 - \end{aligned} -``` - -In each case, the dynamics between *knot points* $(U_t, a_t)$ and $(U_{t+1}, a_{t+1})$ are enforced as constraints on the states, which are free variables in the solver; this optimization framework is called *direct collocation*. For details of our implementation please see our award-winning IEEE QCE 2023 paper, [Direct Collocation for Quantum Optimal Control](https://arxiv.org/abs/2305.03261). If you use QuantumCollocation.jl in your work, please cite :raised_hands:! - -Problem templates give the user the ability to add other constraints and objective functions to this problem and solve it efficiently using [Ipopt.jl](https://github.com/jump-dev/Ipopt.jl) and [MathOptInterface.jl](https://github.com/jump-dev/MathOptInterface.jl) under the hood. - -## Installation - -This package is registered! To install, enter the Julia REPL, type `]` to enter pkg mode, and then run: -```julia -pkg> add QuantumCollocation -``` - -## Example - -### Single Qubit Hadamard Gate -```Julia -using QuantumCollocation - -T = 50 -Δt = 0.2 -system = QuantumSystem([PAULIS[:X], PAULIS[:Y]]) -U_goal = GATES.H - -# Hadamard Gate -prob = UnitarySmoothPulseProblem(system, U_goal, T, Δt) -solve!(prob, max_iter=100) -``` diff --git a/docs/src/lib.md b/docs/src/lib.md deleted file mode 100644 index dc0310d9..00000000 --- a/docs/src/lib.md +++ /dev/null @@ -1,26 +0,0 @@ -# Library - -## Problem Templates -```@autodocs -Modules = [QuantumCollocation.ProblemTemplates] -``` - -## Options -```@autodocs -Modules = [QuantumCollocation.Options] -``` - -## Trajectory Initialization -```@autodocs -Modules = [QuantumCollocation.TrajectoryInitialization] -``` - -## Trajectory Interpolations -```@autodocs -Modules = [QuantumCollocation.TrajectoryInterpolations] -``` - -## Quantum System Templates -```@autodocs -Modules = [QuantumCollocation.QuantumSystemTemplates] -``` \ No newline at end of file diff --git a/src/problem_templates/adjoint_smooth_pulse_problem.jl b/src/problem_templates/adjoint_smooth_pulse_problem.jl index 7aeb8a8d..fcf09ea2 100644 --- a/src/problem_templates/adjoint_smooth_pulse_problem.jl +++ b/src/problem_templates/adjoint_smooth_pulse_problem.jl @@ -12,7 +12,6 @@ function AdjointUnitarySmoothPulseProblem( control_name::Symbol = :a, timestep_name::Symbol = :Δt, init_trajectory::Union{NamedTrajectory, Nothing}=nothing, - a_guess::Union{Matrix{Float64}, Nothing}=nothing, a_bound::Float64=1.0, a_bounds=fill(a_bound, system.n_drives), da_bound::Float64=Inf, @@ -21,7 +20,8 @@ function AdjointUnitarySmoothPulseProblem( dda_bounds::Vector{Float64}=fill(dda_bound, system.n_drives), Δt_min::Float64=Δt isa Float64 ? 0.5 * Δt : 0.5 * mean(Δt), Δt_max::Float64=Δt isa Float64 ? 1.5 * Δt : 1.5 * mean(Δt), - Q = 1.0, + Q::Float64 = 1.0, + Qd::Float64=2.0, R=1e-2, R_a::Union{Float64, Vector{Float64}}=R, R_da::Union{Float64, Vector{Float64}}=R, @@ -37,7 +37,7 @@ function AdjointUnitarySmoothPulseProblem( # Trajectory if !isnothing(init_trajectory) - traj = copy(init_trajectory) + traj = deepcopy(init_trajectory) else traj = initialize_trajectory( goal, @@ -52,7 +52,6 @@ function AdjointUnitarySmoothPulseProblem( zero_initial_and_final_derivative=piccolo_options.zero_initial_and_final_derivative, geodesic=piccolo_options.geodesic, bound_state=piccolo_options.bound_state, - a_guess=a_guess, rollout_integrator=piccolo_options.rollout_integrator, verbose=piccolo_options.verbose ) @@ -107,10 +106,19 @@ function AdjointUnitarySmoothPulseProblem( for (name,down_t) ∈ zip(state_adjoint_names,down_times) if(!isnothing(down_t)) - J += UnitaryNormLoss(name, traj, down_t; Q=Q, rep = false) + J += UnitaryNormLoss(name, traj, down_t; Q=Qd, rep = false) end end + Q_reg = Qd + if(!isnothing(times) || !isnothing(down_times)) + Q_reg = Qd/100 + end + for name ∈ state_adjoint_names + J += UnitaryNormLoss(name, traj, 1:T; Q=Q_reg, rep = false) ###small regularization + end + + # Optional Piccolo constraints and objectives apply_piccolo_options!( J, constraints, piccolo_options, traj, state_name, timestep_name; diff --git a/src/quantum_integrators.jl b/src/quantum_integrators.jl index a217e964..f965ec99 100644 --- a/src/quantum_integrators.jl +++ b/src/quantum_integrators.jl @@ -9,6 +9,7 @@ using LinearAlgebra using NamedTrajectories using DirectTrajOpt using PiccoloQuantumObjects +using SparseArrays const ⊗ = kron @@ -54,8 +55,22 @@ function AdjointUnitaryIntegrator( Gai = (i,a_) -> I(sys.levels) ⊗ sys.Gₐ[i](a_) - Ĝ = a_ -> vcat(reduce(vcat,[[zeros(size(G(a_))[1],(i-1) * size(G(a_))[1]) G(a_) zeros(size(G(a_))[1],(n_sys-i) * size(G(a_))[1]) Gai(i,a_)] for i in 1:length(sys.Gₐ)]),[zeros(size(G(a_))[1],size(G(a_))[1]*n_sys) G(a_)]) - + function Ĝ(a_) + G_eval = G(a_) + dim = size(G_eval)[1] + Gx_index, Gy_index, G_val = findnz(G_eval) + G_full = spzeros((n_sys+1).*size(G_eval)) + + for i ∈ 0:n_sys + G_full += sparse((i*dim) .+ Gx_index, (i*dim) .+ Gy_index, G_val, size(G_full)...) + if(i 1/(Ũ⃗'Ũ⃗) * length(Ũ⃗) + ℓ = Ũ⃗-> 1/(Ũ⃗'Ũ⃗) * (length(Ũ⃗)/2) else - ℓ = Ũ⃗-> (Ũ⃗'Ũ⃗) / length(Ũ⃗) + ℓ = Ũ⃗-> (Ũ⃗'Ũ⃗) / (length(Ũ⃗)/2) end return KnotPointObjective( ℓ, From dbc87774effd663e83f328b88fea11bd386badb0 Mon Sep 17 00:00:00 2001 From: Andy Goldschmidt Date: Mon, 31 Mar 2025 20:21:13 -0500 Subject: [PATCH 21/30] in progress variational problem template --- Project.toml | 4 +- src/problem_templates/_problem_templates.jl | 3 +- ...blem.jl => unitary_variational_problem.jl} | 57 +++++++++---------- src/quantum_integrators.jl | 55 +++++++++--------- 4 files changed, 58 insertions(+), 61 deletions(-) rename src/problem_templates/{adjoint_smooth_pulse_problem.jl => unitary_variational_problem.jl} (77%) diff --git a/Project.toml b/Project.toml index 939f1d8f..6cc51035 100644 --- a/Project.toml +++ b/Project.toml @@ -1,7 +1,7 @@ name = "QuantumCollocation" uuid = "0dc23a59-5ffb-49af-b6bd-932a8ae77adf" authors = ["Aaron Trowbridge and contributors"] -version = "0.7.0" +version = "0.7.1" [deps] DirectTrajOpt = "c823fa1f-8872-4af5-b810-2b9b72bbbf56" @@ -21,7 +21,7 @@ TestItems = "1c621080-faea-4a02-84b6-bbd5e436b8fe" TrajectoryIndexingUtils = "6dad8b7f-dd9a-4c28-9b70-85b9a079bfc8" [compat] -DirectTrajOpt = "0.1.0" +DirectTrajOpt = "0.1" Distributions = "0.25" ExponentialAction = "0.2" Interpolations = "0.15" diff --git a/src/problem_templates/_problem_templates.jl b/src/problem_templates/_problem_templates.jl index bf97291b..ce6e09ab 100644 --- a/src/problem_templates/_problem_templates.jl +++ b/src/problem_templates/_problem_templates.jl @@ -19,8 +19,7 @@ using JLD2 using TestItems include("unitary_smooth_pulse_problem.jl") -include("adjoint_smooth_pulse_problem.jl") - +include("unitary_variational_problem.jl") include("unitary_minimum_time_problem.jl") include("unitary_sampling_problem.jl") diff --git a/src/problem_templates/adjoint_smooth_pulse_problem.jl b/src/problem_templates/unitary_variational_problem.jl similarity index 77% rename from src/problem_templates/adjoint_smooth_pulse_problem.jl rename to src/problem_templates/unitary_variational_problem.jl index fcf09ea2..3bdacd66 100644 --- a/src/problem_templates/adjoint_smooth_pulse_problem.jl +++ b/src/problem_templates/unitary_variational_problem.jl @@ -1,11 +1,13 @@ -export AdjointUnitarySmoothPulseProblem -function AdjointUnitarySmoothPulseProblem( - system::ParameterizedQuantumSystem, +export UnitaryVariationalProblem + + +function UnitaryVariationalProblem( + system::VariationalQuantumSystem, goal::AbstractPiccoloOperator, T::Int, Δt::Union{Float64, <:AbstractVector{Float64}}; - times::Vector{<:Union{AbstractVector,Nothing}}=[nothing for s∈system.Gₐ], - down_times::Vector{<:Union{AbstractVector,Nothing}}=[nothing for s∈system.Gₐ], + times::Vector{<:Union{AbstractVector,Nothing}}=[nothing for s∈system.G_vars], + down_times::Vector{<:Union{AbstractVector,Nothing}}=[nothing for s∈system.G_vars], unitary_integrator=AdjointUnitaryIntegrator, state_name::Symbol = :Ũ⃗, state_adjoint_name::Symbol = :Ũ⃗ₐ, @@ -31,7 +33,7 @@ function AdjointUnitarySmoothPulseProblem( final_fidelity::Float64 = 1.0, ) if piccolo_options.verbose - println(" constructing AdjointUnitarySmoothPulseProblem...") + println(" constructing UnitaryVariationalProblem...") println("\tusing integrator: $(typeof(unitary_integrator))") end @@ -57,30 +59,26 @@ function AdjointUnitarySmoothPulseProblem( ) end + state_vars = [traj[state_name] for _ ∈ system.G_vars] + full_rollout = variational_unitary_rollout( + traj, + system; + unitary_name=state_name, + drive_name=control_name + )[2] - adj = [traj[state_name] for s ∈ system.Gₐ] - - - # for a∈adj - # a[:,1] *= 0 - # end - - - full_rollout = adjoint_unitary_rollout(traj, system ;unitary_name=state_name,drive_name = control_name)[2] - - for i in 1:length(system.Gₐ) - adj[i] = full_rollout[i] + for i in eachindex(system.G_vars) + state_vars[i] = full_rollout[i] end + state_var_names = [ + add_suffix(state_adjoint_name, string(i)) for i in eachindex(system.G_vars) + ] - state_adjoint_names = [add_suffix(state_adjoint_name,string(i)) for i in 1:length(system.Gₐ)] - - - for (name,a) in zip(state_adjoint_names,adj) - add_component!(traj,name,a;type=:state) - traj.initial = merge(traj.initial, (name=> a[:,1], )) - + for (name, var) in zip(state_var_names, state_vars) + add_component!(traj, name, var; type=:state) + traj.initial = merge(traj.initial, (name => var[:,1], )) end fidelity_constraint = FinalUnitaryFidelityConstraint( @@ -98,13 +96,13 @@ function AdjointUnitarySmoothPulseProblem( J += QuadraticRegularizer(control_names[2], traj, R_da) J += QuadraticRegularizer(control_names[3], traj, R_dda) - for (name,t) ∈ zip(state_adjoint_names,times) + for (name, t) ∈ zip(state_var_names,times) if(!isnothing(t)) J += UnitaryNormLoss(name, traj, t; Q=Q) end end - for (name,down_t) ∈ zip(state_adjoint_names,down_times) + for (name, down_t) ∈ zip(state_var_names,down_times) if(!isnothing(down_t)) J += UnitaryNormLoss(name, traj, down_t; Q=Qd, rep = false) end @@ -114,11 +112,10 @@ function AdjointUnitarySmoothPulseProblem( if(!isnothing(times) || !isnothing(down_times)) Q_reg = Qd/100 end - for name ∈ state_adjoint_names + for name ∈ state_var_names J += UnitaryNormLoss(name, traj, 1:T; Q=Q_reg, rep = false) ###small regularization end - # Optional Piccolo constraints and objectives apply_piccolo_options!( J, constraints, piccolo_options, traj, state_name, timestep_name; @@ -126,7 +123,7 @@ function AdjointUnitarySmoothPulseProblem( ) integrators = [ - unitary_integrator(system, traj, state_name,state_adjoint_names,control_name), + unitary_integrator(system, traj, state_name,state_var_names,control_name), DerivativeIntegrator(traj, control_name, control_names[2]), DerivativeIntegrator(traj, control_names[2], control_names[3]), ] diff --git a/src/quantum_integrators.jl b/src/quantum_integrators.jl index f965ec99..21c5719e 100644 --- a/src/quantum_integrators.jl +++ b/src/quantum_integrators.jl @@ -3,7 +3,7 @@ module QuantumIntegrators export KetIntegrator export UnitaryIntegrator export DensityMatrixIntegrator -export AdjointUnitaryIntegrator +export VariationalUnitaryIntegrator using LinearAlgebra using NamedTrajectories @@ -13,6 +13,10 @@ using SparseArrays const ⊗ = kron +# ----------------------------------------------------------------------------- # +# Default Integrators +# ----------------------------------------------------------------------------- # + function KetIntegrator( sys::QuantumSystem, traj::NamedTrajectory, @@ -41,37 +45,34 @@ function DensityMatrixIntegrator( return BilinearIntegrator(sys.𝒢, traj, ρ̃, a) end +# ----------------------------------------------------------------------------- # +# Variational Integrators +# ----------------------------------------------------------------------------- # -function AdjointUnitaryIntegrator( - sys::ParameterizedQuantumSystem, +function VariationalKetIntegrator( + sys::VariationalQuantumSystem, traj::NamedTrajectory, - Ũ⃗::Symbol, - Ũ⃗ₐ::Vector{Symbol}, + ψ̃::Symbol, + ψ̃_variations::AbstractVector{Symbol}, a::Symbol ) - n_sys = length(sys.Gₐ) - - G = a_ -> I(sys.levels) ⊗ sys.G(a_) - - Gai = (i,a_) -> I(sys.levels) ⊗ sys.Gₐ[i](a_) + var_ψ̃ = hcat(ψ̃, ψ̃_variations...) + G = a -> Isomorphisms.var_G(sys.G(a), [G(a) for G in sys.G_vars]) + return BilinearIntegrator(G, traj, var_ψ̃, a) +end - function Ĝ(a_) - G_eval = G(a_) - dim = size(G_eval)[1] - Gx_index, Gy_index, G_val = findnz(G_eval) - G_full = spzeros((n_sys+1).*size(G_eval)) - - for i ∈ 0:n_sys - G_full += sparse((i*dim) .+ Gx_index, (i*dim) .+ Gy_index, G_val, size(G_full)...) - if(i Isomorphisms.var_G( + I(sys.levels) ⊗ sys.G(a), [I(sys.levels) ⊗ G(a) for G in sys.G_vars] + ) + return BilinearIntegrator(Ĝ, traj, var_Ũ⃗, a) end From 3be41025d0edacecfd5725d5d832002e0b348623 Mon Sep 17 00:00:00 2001 From: Andy Goldschmidt Date: Tue, 1 Apr 2025 11:12:45 -0500 Subject: [PATCH 22/30] variational PT, replace terminal loss -> terminal obj (bump DTO 0.2) --- Project.toml | 2 +- .../quantum_state_sampling_problem.jl | 2 +- .../quantum_state_smooth_pulse_problem.jl | 2 +- .../unitary_sampling_problem.jl | 2 +- .../unitary_smooth_pulse_problem.jl | 2 +- .../unitary_variational_problem.jl | 73 +++++++++---------- src/quantum_constraints.jl | 4 +- src/quantum_integrators.jl | 4 +- src/quantum_objectives.jl | 68 +++++++++-------- 9 files changed, 79 insertions(+), 80 deletions(-) diff --git a/Project.toml b/Project.toml index 6cc51035..9a7b2a2a 100644 --- a/Project.toml +++ b/Project.toml @@ -21,7 +21,7 @@ TestItems = "1c621080-faea-4a02-84b6-bbd5e436b8fe" TrajectoryIndexingUtils = "6dad8b7f-dd9a-4c28-9b70-85b9a079bfc8" [compat] -DirectTrajOpt = "0.1" +DirectTrajOpt = "0.2" Distributions = "0.25" ExponentialAction = "0.2" Interpolations = "0.15" diff --git a/src/problem_templates/quantum_state_sampling_problem.jl b/src/problem_templates/quantum_state_sampling_problem.jl index 0859e3d1..710cded6 100644 --- a/src/problem_templates/quantum_state_sampling_problem.jl +++ b/src/problem_templates/quantum_state_sampling_problem.jl @@ -88,7 +88,7 @@ function QuantumStateSamplingProblem( for (weight, names) in zip(system_weights, state_names) for name in names - J += KetInfidelityLoss(name, traj, Q=weight * Q) + J += KetInfidelityObjective(name, traj, Q=weight * Q) end end diff --git a/src/problem_templates/quantum_state_smooth_pulse_problem.jl b/src/problem_templates/quantum_state_smooth_pulse_problem.jl index f5d9798a..6cd18912 100644 --- a/src/problem_templates/quantum_state_smooth_pulse_problem.jl +++ b/src/problem_templates/quantum_state_smooth_pulse_problem.jl @@ -128,7 +128,7 @@ function QuantumStateSmoothPulseProblem( J += QuadraticRegularizer(control_names[3], traj, R_dda) for name ∈ state_names - J += KetInfidelityLoss(name, traj; Q=Q) + J += KetInfidelityObjective(name, traj; Q=Q) end # Optional Piccolo constraints and objectives diff --git a/src/problem_templates/unitary_sampling_problem.jl b/src/problem_templates/unitary_sampling_problem.jl index 7e334079..f89451da 100644 --- a/src/problem_templates/unitary_sampling_problem.jl +++ b/src/problem_templates/unitary_sampling_problem.jl @@ -120,7 +120,7 @@ function UnitarySamplingProblem( J += QuadraticRegularizer(control_names[3], traj, R_dda) for (weight, op, name) in zip(system_weights, operators, state_names) - J += UnitaryInfidelityLoss(op, name, traj; Q=weight * Q) + J += UnitaryInfidelityObjective(op, name, traj; Q=weight * Q) end # Optional Piccolo constraints and objectives diff --git a/src/problem_templates/unitary_smooth_pulse_problem.jl b/src/problem_templates/unitary_smooth_pulse_problem.jl index a91e1f63..23bd639c 100644 --- a/src/problem_templates/unitary_smooth_pulse_problem.jl +++ b/src/problem_templates/unitary_smooth_pulse_problem.jl @@ -122,7 +122,7 @@ function UnitarySmoothPulseProblem( end # Objective - J = UnitaryInfidelityLoss(goal, state_name, traj; Q=Q) + J = UnitaryInfidelityObjective(goal, state_name, traj; Q=Q) control_names = [ name for name ∈ traj.names diff --git a/src/problem_templates/unitary_variational_problem.jl b/src/problem_templates/unitary_variational_problem.jl index 3bdacd66..19879d76 100644 --- a/src/problem_templates/unitary_variational_problem.jl +++ b/src/problem_templates/unitary_variational_problem.jl @@ -6,11 +6,11 @@ function UnitaryVariationalProblem( goal::AbstractPiccoloOperator, T::Int, Δt::Union{Float64, <:AbstractVector{Float64}}; - times::Vector{<:Union{AbstractVector,Nothing}}=[nothing for s∈system.G_vars], - down_times::Vector{<:Union{AbstractVector,Nothing}}=[nothing for s∈system.G_vars], - unitary_integrator=AdjointUnitaryIntegrator, + robust_times::AbstractVector{<:Union{AbstractVector{Int}, Nothing}}=[nothing for s ∈ system.G_vars], + sensitive_times::AbstractVector{<:Union{AbstractVector{Int}, Nothing}}=[nothing for s ∈ system.G_vars], + unitary_integrator=VariationalUnitaryIntegrator, state_name::Symbol = :Ũ⃗, - state_adjoint_name::Symbol = :Ũ⃗ₐ, + variational_state_name::Symbol = :Ũ⃗ₐ, control_name::Symbol = :a, timestep_name::Symbol = :Δt, init_trajectory::Union{NamedTrajectory, Nothing}=nothing, @@ -22,8 +22,8 @@ function UnitaryVariationalProblem( dda_bounds::Vector{Float64}=fill(dda_bound, system.n_drives), Δt_min::Float64=Δt isa Float64 ? 0.5 * Δt : 0.5 * mean(Δt), Δt_max::Float64=Δt isa Float64 ? 1.5 * Δt : 1.5 * mean(Δt), - Q::Float64 = 1.0, - Qd::Float64=2.0, + Q::Float64 = 100.0, + Q_v::Float64=1.0, R=1e-2, R_a::Union{Float64, Vector{Float64}}=R, R_da::Union{Float64, Vector{Float64}}=R, @@ -35,6 +35,7 @@ function UnitaryVariationalProblem( if piccolo_options.verbose println(" constructing UnitaryVariationalProblem...") println("\tusing integrator: $(typeof(unitary_integrator))") + println("\ttotal variational parameters: $(length(system.G_vars))") end # Trajectory @@ -59,62 +60,54 @@ function UnitaryVariationalProblem( ) end - state_vars = [traj[state_name] for _ ∈ system.G_vars] - - full_rollout = variational_unitary_rollout( + _, Ũ⃗_vars = variational_unitary_rollout( traj, system; unitary_name=state_name, drive_name=control_name - )[2] - - for i in eachindex(system.G_vars) - state_vars[i] = full_rollout[i] - end + ) - state_var_names = [ - add_suffix(state_adjoint_name, string(i)) for i in eachindex(system.G_vars) + variational_state_names = [ + Symbol(string(variational_state_name) * "$(i)") for i in eachindex(system.G_vars) ] - for (name, var) in zip(state_var_names, state_vars) + for (name, var) in zip(variational_state_names, Ũ⃗_vars) add_component!(traj, name, var; type=:state) - traj.initial = merge(traj.initial, (name => var[:,1], )) + traj.initial = merge(traj.initial, (name => var[:, 1], )) end - fidelity_constraint = FinalUnitaryFidelityConstraint( - goal, state_name, final_fidelity, traj - ) - - constraints = push!(constraints, fidelity_constraint) - control_names = [ name for name ∈ traj.names if endswith(string(name), string(control_name)) ] - J = QuadraticRegularizer(control_names[1], traj, R_a) + # fidelity_constraint = FinalUnitaryFidelityConstraint( + # goal, state_name, final_fidelity, traj + # ) + + # # constraints + # constraints = push!(constraints, fidelity_constraint) + + # objective + J = UnitaryInfidelityObjective(goal, state_name, traj; Q=Q) + + J += QuadraticRegularizer(control_names[1], traj, R_a) J += QuadraticRegularizer(control_names[2], traj, R_da) J += QuadraticRegularizer(control_names[3], traj, R_dda) - for (name, t) ∈ zip(state_var_names,times) - if(!isnothing(t)) - J += UnitaryNormLoss(name, traj, t; Q=Q) + # enhance sensitivity + for (name, times) ∈ zip(variational_state_names, sensitive_times) + if !isnothing(times) + J += UnitaryNormLoss(name, traj, times; Q=Q_v) end end - for (name, down_t) ∈ zip(state_var_names,down_times) - if(!isnothing(down_t)) - J += UnitaryNormLoss(name, traj, down_t; Q=Qd, rep = false) + # suppress sensitivity + for (name, times) ∈ zip(variational_state_names, robust_times) + if !isnothing(times) + J += UnitarySensitivityObjective(name, traj, times; Q=Q_v, robust=true) end end - - Q_reg = Qd - if(!isnothing(times) || !isnothing(down_times)) - Q_reg = Qd/100 - end - for name ∈ state_var_names - J += UnitaryNormLoss(name, traj, 1:T; Q=Q_reg, rep = false) ###small regularization - end # Optional Piccolo constraints and objectives apply_piccolo_options!( @@ -123,7 +116,7 @@ function UnitaryVariationalProblem( ) integrators = [ - unitary_integrator(system, traj, state_name,state_var_names,control_name), + unitary_integrator(system, traj, state_name, variational_state_names, control_name), DerivativeIntegrator(traj, control_name, control_names[2]), DerivativeIntegrator(traj, control_names[2], control_names[3]), ] diff --git a/src/quantum_constraints.jl b/src/quantum_constraints.jl index 7e3a988b..2e77dafd 100644 --- a/src/quantum_constraints.jl +++ b/src/quantum_constraints.jl @@ -21,7 +21,7 @@ function FinalKetFidelityConstraint( traj::NamedTrajectory ) terminal_constraint = ψ̃ -> [ - ket_infidelity_loss(ψ̃, ψ_goal) - abs(1 - final_fidelity) + abs(QuantumObjectives.ket_fidelity_loss(ψ̃, ψ_goal) - final_fidelity) ] return NonlinearKnotPointConstraint( @@ -44,7 +44,7 @@ function FinalUnitaryFidelityConstraint( traj::NamedTrajectory ) terminal_constraint = Ũ⃗ -> [ - unitary_infidelity_loss(Ũ⃗, U_goal) - abs(1 - final_fidelity) + abs(QuantumObjectives.unitary_fidelity_loss(Ũ⃗, U_goal) - final_fidelity) ] return NonlinearKnotPointConstraint( diff --git a/src/quantum_integrators.jl b/src/quantum_integrators.jl index 21c5719e..83c16792 100644 --- a/src/quantum_integrators.jl +++ b/src/quantum_integrators.jl @@ -56,7 +56,7 @@ function VariationalKetIntegrator( ψ̃_variations::AbstractVector{Symbol}, a::Symbol ) - var_ψ̃ = hcat(ψ̃, ψ̃_variations...) + var_ψ̃ = vcat(ψ̃, ψ̃_variations...) G = a -> Isomorphisms.var_G(sys.G(a), [G(a) for G in sys.G_vars]) return BilinearIntegrator(G, traj, var_ψ̃, a) end @@ -68,7 +68,7 @@ function VariationalUnitaryIntegrator( Ũ⃗_variations::AbstractVector{Symbol}, a::Symbol ) - var_Ũ⃗ = hcat(Ũ⃗, Ũ⃗_variations...) + var_Ũ⃗ = vcat(Ũ⃗, Ũ⃗_variations...) Ĝ = a -> Isomorphisms.var_G( I(sys.levels) ⊗ sys.G(a), [I(sys.levels) ⊗ G(a) for G in sys.G_vars] ) diff --git a/src/quantum_objectives.jl b/src/quantum_objectives.jl index 99e60626..14385a7b 100644 --- a/src/quantum_objectives.jl +++ b/src/quantum_objectives.jl @@ -1,12 +1,9 @@ module QuantumObjectives -export ket_infidelity_loss -export unitary_infidelity_loss -export density_matrix_pure_state_infidelity_loss -export KetInfidelityLoss -export UnitaryInfidelityLoss -export DensityMatrixPureStateInfidelityLoss -export UnitaryNormLoss +export KetInfidelityObjective +export UnitaryInfidelityObjective +export DensityMatrixPureStateInfidelityObjective +export UnitarySensitivityObjective using LinearAlgebra using NamedTrajectories @@ -17,23 +14,22 @@ using DirectTrajOpt # Kets # --------------------------------------------------------- -function ket_infidelity_loss( +function ket_fidelity_loss( ψ̃::AbstractVector, ψ_goal::AbstractVector{<:Complex{Float64}} ) ψ = iso_to_ket(ψ̃) - ℱ = abs2(ψ_goal' * ψ) - return abs(1 - ℱ) + return abs2(ψ_goal' * ψ) end -function KetInfidelityLoss( +function KetInfidelityObjective( ψ̃_name::Symbol, traj::NamedTrajectory; Q=100.0 ) ψ_goal = iso_to_ket(traj.goal[ψ̃_name]) - ℓ = ψ̃ -> ket_infidelity_loss(ψ̃, ψ_goal) - return TerminalLoss(ℓ, ψ̃_name, traj; Q=Q) + ℓ = ψ̃ -> abs(1 - ket_fidelity_loss(ψ̃, ψ_goal)) + return TerminalObjective(ℓ, ψ̃_name, traj; Q=Q) end @@ -41,36 +37,34 @@ end # Unitaries # --------------------------------------------------------- -function unitary_infidelity_loss( - Ũ⃗::AbstractVector, +function unitary_fidelity_loss( + Ũ⃗::AbstractVector{<:Real}, U_goal::AbstractMatrix{<:Complex{Float64}} ) U = iso_vec_to_operator(Ũ⃗) n = size(U, 1) - ℱ = abs2(tr(U_goal' * U)) / n^2 - return abs(1 - ℱ) + return abs2(tr(U_goal' * U)) / n^2 end -function unitary_infidelity_loss( - Ũ⃗::AbstractVector, +function unitary_fidelity_loss( + Ũ⃗::AbstractVector{<:Real}, op::EmbeddedOperator ) U_goal = unembed(op) U = iso_vec_to_operator(Ũ⃗)[op.subspace, op.subspace] n = length(op.subspace) M = U_goal'U - ℱ = 1 / (n * (n + 1)) * (abs(tr(M'M)) + abs2(tr(M))) - return abs(1 - ℱ) + return 1 / (n * (n + 1)) * (abs(tr(M'M)) + abs2(tr(M))) end -function UnitaryInfidelityLoss( +function UnitaryInfidelityObjective( U_goal::AbstractPiccoloOperator, Ũ⃗_name::Symbol, traj::NamedTrajectory; Q=100.0 ) - ℓ = Ũ⃗ -> unitary_infidelity_loss(Ũ⃗, U_goal) - return TerminalLoss(ℓ, Ũ⃗_name, traj; Q=Q) + ℓ = Ũ⃗ -> abs(1 - unitary_fidelity_loss(Ũ⃗, U_goal)) + return TerminalObjective(ℓ, Ũ⃗_name, traj; Q=Q) end # --------------------------------------------------------- @@ -86,29 +80,41 @@ function density_matrix_pure_state_infidelity_loss( return abs(1 - ℱ) end -function DensityMatrixPureStateInfidelityLoss( +function DensityMatrixPureStateInfidelityObjective( ρ̃_name::Symbol, ψ_goal::AbstractVector{<:Complex{Float64}}, traj::NamedTrajectory; Q=100.0 ) ℓ = ρ̃ -> density_matrix_pure_state_infidelity_loss(ρ̃, ψ_goal) - return TerminalLoss(ℓ, ρ̃_name, traj; Q=Q) + return TerminalObjective(ℓ, ρ̃_name, traj; Q=Q) end +# --------------------------------------------------------- +# Sensitivity +# --------------------------------------------------------- -function UnitaryNormLoss( +function unitary_fidelity_loss( + Ũ⃗::AbstractVector{<:Real} +) + U = iso_vec_to_operator(Ũ⃗) + n = size(U, 1) + return abs2(tr(U' * U)) / n^2 +end + +function UnitarySensitivityObjective( name::Symbol, traj::NamedTrajectory, times::AbstractVector; Q::Float64=100.0, - rep = true + robust=false ) - if(rep) - ℓ = Ũ⃗-> 1/(Ũ⃗'Ũ⃗) * (length(Ũ⃗)/2) + if robust + ℓ = Ũ⃗ -> unitary_fidelity_loss(Ũ⃗) else - ℓ = Ũ⃗-> (Ũ⃗'Ũ⃗) / (length(Ũ⃗)/2) + ℓ = Ũ⃗ -> 1 / unitary_fidelity_loss(Ũ⃗) end + return KnotPointObjective( ℓ, name, From f77e7630c74f393eba1cb9d1bb452f5018abeb59 Mon Sep 17 00:00:00 2001 From: Andy Goldschmidt Date: Tue, 1 Apr 2025 12:35:15 -0500 Subject: [PATCH 23/30] document PT --- Project.toml | 4 +- .../unitary_variational_problem.jl | 61 ++++++++++++++++--- 2 files changed, 55 insertions(+), 10 deletions(-) diff --git a/Project.toml b/Project.toml index 9a7b2a2a..8aff5bdd 100644 --- a/Project.toml +++ b/Project.toml @@ -1,7 +1,7 @@ name = "QuantumCollocation" uuid = "0dc23a59-5ffb-49af-b6bd-932a8ae77adf" authors = ["Aaron Trowbridge and contributors"] -version = "0.7.1" +version = "0.7.2" [deps] DirectTrajOpt = "c823fa1f-8872-4af5-b810-2b9b72bbbf56" @@ -28,7 +28,7 @@ Interpolations = "0.15" JLD2 = "0.5" LinearAlgebra = "1.10, 1.11" NamedTrajectories = "0.3" -PiccoloQuantumObjects = "0.3" +PiccoloQuantumObjects = "0.4" Random = "1.10, 1.11" Reexport = "1.2" SparseArrays = "1.10, 1.11" diff --git a/src/problem_templates/unitary_variational_problem.jl b/src/problem_templates/unitary_variational_problem.jl index 19879d76..73182fce 100644 --- a/src/problem_templates/unitary_variational_problem.jl +++ b/src/problem_templates/unitary_variational_problem.jl @@ -1,6 +1,59 @@ export UnitaryVariationalProblem +""" + UnitaryVariationalProblem( + system::VariationalQuantumSystem, + goal::AbstractPiccoloOperator, + T::Int, + Δt::Union{Float64, <:AbstractVector{Float64}}; + robust_times::AbstractVector{<:Union{AbstractVector{Int}, Nothing}}=[nothing for s ∈ system.G_vars], + sensitive_times::AbstractVector{<:Union{AbstractVector{Int}, Nothing}}=[nothing for s ∈ system.G_vars], + kwargs... + ) + +Constructs a unitary variational problem for optimizing quantum control trajectories. + +# Arguments +- `system::VariationalQuantumSystem`: The quantum system to be controlled, containing variational parameters. +- `goal::AbstractPiccoloOperator`: The target operator or state to achieve at the end of the trajectory. +- `T::Int`: The total number of timesteps in the trajectory. +- `Δt::Union{Float64, <:AbstractVector{Float64}}`: The timestep duration or a vector of timestep durations. +- `robust_times::AbstractVector`: Times at which robustness to variations in the trajectory is enforced. +- `sensitive_times::AbstractVector`: Times at which sensitivity to variations in the trajectory is enhanced. +- `unitary_integrator`: The integrator used for unitary evolution (default: `VariationalUnitaryIntegrator`). +- `state_name::Symbol`: The name of the state variable in the trajectory (default: `:Ũ⃗`). +- `variational_state_name::Symbol`: The name of the variational state variable (default: `:Ũ⃗ₐ`). +- `control_name::Symbol`: The name of the control variable (default: `:a`). +- `timestep_name::Symbol`: The name of the timestep variable (default: `:Δt`). +- `init_trajectory::Union{NamedTrajectory, Nothing}`: An optional initial trajectory to start optimization. +- `a_bound::Float64`: The bound for the control variable `a` (default: `1.0`). +- `a_bounds::Vector`: Bounds for each control variable (default: filled with `a_bound`). +- `da_bound::Float64`: The bound for the derivative of the control variable (default: `Inf`). +- `da_bounds::Vector`: Bounds for each derivative of the control variable. +- `dda_bound::Float64`: The bound for the second derivative of the control variable (default: `1.0`). +- `dda_bounds::Vector`: Bounds for each second derivative of the control variable. +- `Δt_min::Float64`: Minimum allowed timestep duration. +- `Δt_max::Float64`: Maximum allowed timestep duration. +- `Q::Float64`: Weight for the unitary infidelity objective (default: `100.0`). +- `Q_v::Float64`: Weight for sensitivity objectives (default: `1.0`). +- `R`: Regularization weight for control variables (default: `1e-2`). +- `R_a`, `R_da`, `R_dda`: Regularization weights for control, its derivative, and second derivative. +- `constraints::Vector`: Additional constraints for the optimization problem. +- `piccolo_options::PiccoloOptions`: Options for configuring the Piccolo optimization framework. + +# Returns +A `DirectTrajOptProblem` object representing the optimization problem, including the +trajectory, objective, integrators, and constraints. + +# Notes +This function constructs a trajectory optimization problem for quantum control using +variational principles. It supports robust and sensitive trajectory design, regularization, +and optional constraints. The problem is solved using the Piccolo optimization framework. + +""" +function UnitaryVariationalProblem end + function UnitaryVariationalProblem( system::VariationalQuantumSystem, goal::AbstractPiccoloOperator, @@ -30,7 +83,6 @@ function UnitaryVariationalProblem( R_dda::Union{Float64, Vector{Float64}}=R, constraints::Vector{<:AbstractConstraint}=AbstractConstraint[], piccolo_options::PiccoloOptions=PiccoloOptions(), - final_fidelity::Float64 = 1.0, ) if piccolo_options.verbose println(" constructing UnitaryVariationalProblem...") @@ -81,13 +133,6 @@ function UnitaryVariationalProblem( if endswith(string(name), string(control_name)) ] - # fidelity_constraint = FinalUnitaryFidelityConstraint( - # goal, state_name, final_fidelity, traj - # ) - - # # constraints - # constraints = push!(constraints, fidelity_constraint) - # objective J = UnitaryInfidelityObjective(goal, state_name, traj; Q=Q) From 4f3175179d0e899ef17507b001cfbae83b30ee36 Mon Sep 17 00:00:00 2001 From: Andy Goldschmidt Date: Thu, 3 Apr 2025 00:20:46 -0500 Subject: [PATCH 24/30] enhance sensitivity handling with scaling --- .../unitary_variational_problem.jl | 42 +++++++++---------- src/quantum_integrators.jl | 12 +++--- src/quantum_objectives.jl | 14 +++---- 3 files changed, 32 insertions(+), 36 deletions(-) diff --git a/src/problem_templates/unitary_variational_problem.jl b/src/problem_templates/unitary_variational_problem.jl index 73182fce..aed0d95f 100644 --- a/src/problem_templates/unitary_variational_problem.jl +++ b/src/problem_templates/unitary_variational_problem.jl @@ -59,9 +59,10 @@ function UnitaryVariationalProblem( goal::AbstractPiccoloOperator, T::Int, Δt::Union{Float64, <:AbstractVector{Float64}}; - robust_times::AbstractVector{<:Union{AbstractVector{Int}, Nothing}}=[nothing for s ∈ system.G_vars], - sensitive_times::AbstractVector{<:Union{AbstractVector{Int}, Nothing}}=[nothing for s ∈ system.G_vars], - unitary_integrator=VariationalUnitaryIntegrator, + robust_times::AbstractVector{<:AbstractVector{Int}}=[Int[] for s ∈ system.G_vars], + sensitive_times::AbstractVector{<:AbstractVector{Int}}=[Int[] for s ∈ system.G_vars], + variational_integrator=VariationalUnitaryIntegrator, + variational_scale::Float64=1.0, state_name::Symbol = :Ũ⃗, variational_state_name::Symbol = :Ũ⃗ₐ, control_name::Symbol = :a, @@ -75,8 +76,9 @@ function UnitaryVariationalProblem( dda_bounds::Vector{Float64}=fill(dda_bound, system.n_drives), Δt_min::Float64=Δt isa Float64 ? 0.5 * Δt : 0.5 * mean(Δt), Δt_max::Float64=Δt isa Float64 ? 1.5 * Δt : 1.5 * mean(Δt), - Q::Float64 = 100.0, - Q_v::Float64=1.0, + Q::Float64=100.0, + Q_s::Float64=1e-2, + Q_r::Float64=100.0, R=1e-2, R_a::Union{Float64, Vector{Float64}}=R, R_da::Union{Float64, Vector{Float64}}=R, @@ -86,7 +88,7 @@ function UnitaryVariationalProblem( ) if piccolo_options.verbose println(" constructing UnitaryVariationalProblem...") - println("\tusing integrator: $(typeof(unitary_integrator))") + println("\tusing integrator: $(typeof(variational_integrator))") println("\ttotal variational parameters: $(length(system.G_vars))") end @@ -124,8 +126,8 @@ function UnitaryVariationalProblem( ] for (name, var) in zip(variational_state_names, Ũ⃗_vars) - add_component!(traj, name, var; type=:state) - traj.initial = merge(traj.initial, (name => var[:, 1], )) + add_component!(traj, name, var / variational_scale; type=:state) + traj.initial = merge(traj.initial, (name => var[:, 1] / variational_scale, )) end control_names = [ @@ -135,23 +137,19 @@ function UnitaryVariationalProblem( # objective J = UnitaryInfidelityObjective(goal, state_name, traj; Q=Q) - J += QuadraticRegularizer(control_names[1], traj, R_a) J += QuadraticRegularizer(control_names[2], traj, R_da) J += QuadraticRegularizer(control_names[3], traj, R_dda) - # enhance sensitivity - for (name, times) ∈ zip(variational_state_names, sensitive_times) - if !isnothing(times) - J += UnitaryNormLoss(name, traj, times; Q=Q_v) - end - end - - # suppress sensitivity - for (name, times) ∈ zip(variational_state_names, robust_times) - if !isnothing(times) - J += UnitarySensitivityObjective(name, traj, times; Q=Q_v, robust=true) - end + # sensitivity + for (name, s, r) ∈ zip(variational_state_names, sensitive_times, robust_times) + @assert isdisjoint(s, r) + J += UnitarySensitivityObjective( + name, + traj, + [s; r]; + Qs=[fill(-Q_s, length(s)); fill(Q_r, length(r))], + scale=variational_scale) end # Optional Piccolo constraints and objectives @@ -161,7 +159,7 @@ function UnitaryVariationalProblem( ) integrators = [ - unitary_integrator(system, traj, state_name, variational_state_names, control_name), + variational_integrator(system, traj, state_name, variational_state_names, control_name, scale=variational_scale), DerivativeIntegrator(traj, control_name, control_names[2]), DerivativeIntegrator(traj, control_names[2], control_names[3]), ] diff --git a/src/quantum_integrators.jl b/src/quantum_integrators.jl index 83c16792..e39cf942 100644 --- a/src/quantum_integrators.jl +++ b/src/quantum_integrators.jl @@ -54,10 +54,11 @@ function VariationalKetIntegrator( traj::NamedTrajectory, ψ̃::Symbol, ψ̃_variations::AbstractVector{Symbol}, - a::Symbol + a::Symbol; + scale::Float64=1.0, ) var_ψ̃ = vcat(ψ̃, ψ̃_variations...) - G = a -> Isomorphisms.var_G(sys.G(a), [G(a) for G in sys.G_vars]) + G = a -> Isomorphisms.var_G(sys.G(a), [G(a) / scale for G in sys.G_vars]) return BilinearIntegrator(G, traj, var_ψ̃, a) end @@ -66,11 +67,12 @@ function VariationalUnitaryIntegrator( traj::NamedTrajectory, Ũ⃗::Symbol, Ũ⃗_variations::AbstractVector{Symbol}, - a::Symbol -) + a::Symbol; + scale::Float64=1.0, +) var_Ũ⃗ = vcat(Ũ⃗, Ũ⃗_variations...) Ĝ = a -> Isomorphisms.var_G( - I(sys.levels) ⊗ sys.G(a), [I(sys.levels) ⊗ G(a) for G in sys.G_vars] + I(sys.levels) ⊗ sys.G(a), [I(sys.levels) ⊗ G(a) / scale for G in sys.G_vars] ) return BilinearIntegrator(Ĝ, traj, var_Ũ⃗, a) end diff --git a/src/quantum_objectives.jl b/src/quantum_objectives.jl index 14385a7b..21ed1cc8 100644 --- a/src/quantum_objectives.jl +++ b/src/quantum_objectives.jl @@ -105,21 +105,17 @@ end function UnitarySensitivityObjective( name::Symbol, traj::NamedTrajectory, - times::AbstractVector; - Q::Float64=100.0, - robust=false + times::AbstractVector{Int}; + Qs::AbstractVector{<:Float64}=fill(1.0, length(times)), + scale::Float64=1.0, ) - if robust - ℓ = Ũ⃗ -> unitary_fidelity_loss(Ũ⃗) - else - ℓ = Ũ⃗ -> 1 / unitary_fidelity_loss(Ũ⃗) - end + ℓ = Ũ⃗ -> scale^4 * unitary_fidelity_loss(Ũ⃗) return KnotPointObjective( ℓ, name, traj; - Qs=Q * ones(length(times)), + Qs=Qs, times=times ) end From 0d07f47544d3d3a4f2e9ff562372e80142cc6671 Mon Sep 17 00:00:00 2001 From: Andy Goldschmidt Date: Thu, 3 Apr 2025 11:21:34 -0500 Subject: [PATCH 25/30] var symb name --- src/problem_templates/unitary_variational_problem.jl | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/problem_templates/unitary_variational_problem.jl b/src/problem_templates/unitary_variational_problem.jl index aed0d95f..b3736eb5 100644 --- a/src/problem_templates/unitary_variational_problem.jl +++ b/src/problem_templates/unitary_variational_problem.jl @@ -64,7 +64,7 @@ function UnitaryVariationalProblem( variational_integrator=VariationalUnitaryIntegrator, variational_scale::Float64=1.0, state_name::Symbol = :Ũ⃗, - variational_state_name::Symbol = :Ũ⃗ₐ, + variational_state_name::Symbol = :Ũ⃗ᵥ, control_name::Symbol = :a, timestep_name::Symbol = :Δt, init_trajectory::Union{NamedTrajectory, Nothing}=nothing, From c637f7b0b343fe7437f58c2f1f26a41a5202d915 Mon Sep 17 00:00:00 2001 From: Andy Goldschmidt Date: Thu, 3 Apr 2025 14:40:17 -0500 Subject: [PATCH 26/30] add variational PT test --- .../unitary_variational_problem.jl | 41 +++++++++++++++++-- 1 file changed, 38 insertions(+), 3 deletions(-) diff --git a/src/problem_templates/unitary_variational_problem.jl b/src/problem_templates/unitary_variational_problem.jl index b3736eb5..dba4a64f 100644 --- a/src/problem_templates/unitary_variational_problem.jl +++ b/src/problem_templates/unitary_variational_problem.jl @@ -125,9 +125,10 @@ function UnitaryVariationalProblem( Symbol(string(variational_state_name) * "$(i)") for i in eachindex(system.G_vars) ] - for (name, var) in zip(variational_state_names, Ũ⃗_vars) - add_component!(traj, name, var / variational_scale; type=:state) - traj.initial = merge(traj.initial, (name => var[:, 1] / variational_scale, )) + # TODO: variational rollout should always return vars as vector of matrices + for (name, Ũ⃗_v) in zip(variational_state_names, isa(Ũ⃗_vars, AbstractVector) ? Ũ⃗_vars : [Ũ⃗_vars]) + add_component!(traj, name, Ũ⃗_v / variational_scale; type=:state) + traj.initial = merge(traj.initial, (name => Ũ⃗_v[:, 1] / variational_scale, )) end control_names = [ @@ -170,4 +171,38 @@ function UnitaryVariationalProblem( integrators; constraints=constraints ) +end + +# *************************************************************************** # + +@testitem "Sensitive and robust" begin + using LinearAlgebra + using PiccoloQuantumObjects + + system = QuantumSystem([PAULIS.X, PAULIS.Y]) + varsys = VariationalQuantumSystem([PAULIS.X, PAULIS.Y], [PAULIS.X] ) + T = 50 + Δt = 0.2 + + sense_scale = 8.0 + sense_prob = UnitaryVariationalProblem( + varsys, GATES.X, T, Δt, + variational_scale=sense_scale, + sensitive_times=[[T]], + piccolo_options=PiccoloOptions(verbose=false) + ) + solve!(sense_prob, max_iter=20, print_level=1, verbose=false) + + rob_scale = 1 / 8.0 + rob_prob = UnitaryVariationalProblem( + varsys, GATES.X, T, Δt, + variational_scale=rob_scale, + robust_times=[[T]], + piccolo_options=PiccoloOptions(verbose=false) + ) + solve!(rob_prob, max_iter=20, print_level=1, verbose=false) + + sense_n = norm(sense_scale * sense_prob.trajectory.Ũ⃗ᵥ1) + rob_n = norm(rob_scale * rob_prob.trajectory.Ũ⃗ᵥ1) + @assert sense_n > rob_n end \ No newline at end of file From 3a580a04c84eb2ecc203172fcbddeeeb0e8beb0e Mon Sep 17 00:00:00 2001 From: Andy Goldschmidt Date: Mon, 7 Apr 2025 08:02:46 -0500 Subject: [PATCH 27/30] fix: G_vars integration typing --- src/problem_templates/unitary_variational_problem.jl | 3 +-- src/quantum_integrators.jl | 9 ++++++--- 2 files changed, 7 insertions(+), 5 deletions(-) diff --git a/src/problem_templates/unitary_variational_problem.jl b/src/problem_templates/unitary_variational_problem.jl index dba4a64f..44d3d3ec 100644 --- a/src/problem_templates/unitary_variational_problem.jl +++ b/src/problem_templates/unitary_variational_problem.jl @@ -125,8 +125,7 @@ function UnitaryVariationalProblem( Symbol(string(variational_state_name) * "$(i)") for i in eachindex(system.G_vars) ] - # TODO: variational rollout should always return vars as vector of matrices - for (name, Ũ⃗_v) in zip(variational_state_names, isa(Ũ⃗_vars, AbstractVector) ? Ũ⃗_vars : [Ũ⃗_vars]) + for (name, Ũ⃗_v) in zip(variational_state_names, Ũ⃗_vars) add_component!(traj, name, Ũ⃗_v / variational_scale; type=:state) traj.initial = merge(traj.initial, (name => Ũ⃗_v[:, 1] / variational_scale, )) end diff --git a/src/quantum_integrators.jl b/src/quantum_integrators.jl index e39cf942..c0172973 100644 --- a/src/quantum_integrators.jl +++ b/src/quantum_integrators.jl @@ -71,9 +71,12 @@ function VariationalUnitaryIntegrator( scale::Float64=1.0, ) var_Ũ⃗ = vcat(Ũ⃗, Ũ⃗_variations...) - Ĝ = a -> Isomorphisms.var_G( - I(sys.levels) ⊗ sys.G(a), [I(sys.levels) ⊗ G(a) / scale for G in sys.G_vars] - ) + + function Ĝ(a) + G0 = sys.G(a) + Gs = typeof(G0)[I(sys.levels) ⊗ G(a) / scale for G in sys.G_vars] + return Isomorphisms.var_G(I(sys.levels) ⊗ G0, Gs) + end return BilinearIntegrator(Ĝ, traj, var_Ũ⃗, a) end From e4516c8a25f210efeac62f1ab8e752b02816d257 Mon Sep 17 00:00:00 2001 From: Andy Goldschmidt Date: Wed, 9 Apr 2025 15:38:58 -0500 Subject: [PATCH 28/30] scale -> scales for each variational state --- .../unitary_variational_problem.jl | 23 +++++++++++++------ src/quantum_integrators.jl | 4 ++-- 2 files changed, 18 insertions(+), 9 deletions(-) diff --git a/src/problem_templates/unitary_variational_problem.jl b/src/problem_templates/unitary_variational_problem.jl index 44d3d3ec..1f084168 100644 --- a/src/problem_templates/unitary_variational_problem.jl +++ b/src/problem_templates/unitary_variational_problem.jl @@ -62,7 +62,7 @@ function UnitaryVariationalProblem( robust_times::AbstractVector{<:AbstractVector{Int}}=[Int[] for s ∈ system.G_vars], sensitive_times::AbstractVector{<:AbstractVector{Int}}=[Int[] for s ∈ system.G_vars], variational_integrator=VariationalUnitaryIntegrator, - variational_scale::Float64=1.0, + variational_scales::AbstractVector{<:Float64}=fill(1.0, length(system.G_vars)), state_name::Symbol = :Ũ⃗, variational_state_name::Symbol = :Ũ⃗ᵥ, control_name::Symbol = :a, @@ -125,9 +125,9 @@ function UnitaryVariationalProblem( Symbol(string(variational_state_name) * "$(i)") for i in eachindex(system.G_vars) ] - for (name, Ũ⃗_v) in zip(variational_state_names, Ũ⃗_vars) - add_component!(traj, name, Ũ⃗_v / variational_scale; type=:state) - traj.initial = merge(traj.initial, (name => Ũ⃗_v[:, 1] / variational_scale, )) + for (name, scale, Ũ⃗_v) in zip(variational_state_names, variational_scales, Ũ⃗_vars) + add_component!(traj, name, Ũ⃗_v / scale; type=:state) + traj.initial = merge(traj.initial, (name => Ũ⃗_v[:, 1] / scale,)) end control_names = [ @@ -142,14 +142,20 @@ function UnitaryVariationalProblem( J += QuadraticRegularizer(control_names[3], traj, R_dda) # sensitivity - for (name, s, r) ∈ zip(variational_state_names, sensitive_times, robust_times) + for (name, scale, s, r) ∈ zip( + variational_state_names, + variational_scales, + sensitive_times, + robust_times + ) @assert isdisjoint(s, r) J += UnitarySensitivityObjective( name, traj, [s; r]; Qs=[fill(-Q_s, length(s)); fill(Q_r, length(r))], - scale=variational_scale) + scale=scale + ) end # Optional Piccolo constraints and objectives @@ -159,7 +165,10 @@ function UnitaryVariationalProblem( ) integrators = [ - variational_integrator(system, traj, state_name, variational_state_names, control_name, scale=variational_scale), + variational_integrator( + system, traj, state_name, variational_state_names, control_name, + scales=variational_scales + ), DerivativeIntegrator(traj, control_name, control_names[2]), DerivativeIntegrator(traj, control_names[2], control_names[3]), ] diff --git a/src/quantum_integrators.jl b/src/quantum_integrators.jl index c0172973..8108a1c8 100644 --- a/src/quantum_integrators.jl +++ b/src/quantum_integrators.jl @@ -68,13 +68,13 @@ function VariationalUnitaryIntegrator( Ũ⃗::Symbol, Ũ⃗_variations::AbstractVector{Symbol}, a::Symbol; - scale::Float64=1.0, + scales::AbstractVector{<:Float64}=fill(1.0, length(sys.G_vars)), ) var_Ũ⃗ = vcat(Ũ⃗, Ũ⃗_variations...) function Ĝ(a) G0 = sys.G(a) - Gs = typeof(G0)[I(sys.levels) ⊗ G(a) / scale for G in sys.G_vars] + Gs = typeof(G0)[I(sys.levels) ⊗ G(a) / scale for (scale, G) in zip(scales, sys.G_vars)] return Isomorphisms.var_G(I(sys.levels) ⊗ G0, Gs) end return BilinearIntegrator(Ĝ, traj, var_Ũ⃗, a) From 10f21898be9f99232d373ed78c8c43e7177cda55 Mon Sep 17 00:00:00 2001 From: Andy Goldschmidt Date: Wed, 9 Apr 2025 15:40:23 -0500 Subject: [PATCH 29/30] fix tests --- src/problem_templates/unitary_variational_problem.jl | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/src/problem_templates/unitary_variational_problem.jl b/src/problem_templates/unitary_variational_problem.jl index 1f084168..8bc013b7 100644 --- a/src/problem_templates/unitary_variational_problem.jl +++ b/src/problem_templates/unitary_variational_problem.jl @@ -24,6 +24,7 @@ Constructs a unitary variational problem for optimizing quantum control trajecto - `unitary_integrator`: The integrator used for unitary evolution (default: `VariationalUnitaryIntegrator`). - `state_name::Symbol`: The name of the state variable in the trajectory (default: `:Ũ⃗`). - `variational_state_name::Symbol`: The name of the variational state variable (default: `:Ũ⃗ₐ`). +- `variational_scales::AbstractVector`: Scaling factors for the variational state variables (default: `1.0`). - `control_name::Symbol`: The name of the control variable (default: `:a`). - `timestep_name::Symbol`: The name of the timestep variable (default: `:Δt`). - `init_trajectory::Union{NamedTrajectory, Nothing}`: An optional initial trajectory to start optimization. @@ -195,7 +196,7 @@ end sense_scale = 8.0 sense_prob = UnitaryVariationalProblem( varsys, GATES.X, T, Δt, - variational_scale=sense_scale, + variational_scales=[sense_scale], sensitive_times=[[T]], piccolo_options=PiccoloOptions(verbose=false) ) @@ -204,7 +205,7 @@ end rob_scale = 1 / 8.0 rob_prob = UnitaryVariationalProblem( varsys, GATES.X, T, Δt, - variational_scale=rob_scale, + variational_scales=[rob_scale], robust_times=[[T]], piccolo_options=PiccoloOptions(verbose=false) ) From 4c79e8812b18d95c78cfd4196ae1263b5bdab8c6 Mon Sep 17 00:00:00 2001 From: Andy Goldschmidt Date: Tue, 15 Apr 2025 15:51:50 -0500 Subject: [PATCH 30/30] docs for var prob --- .../literate/man/unitary_problem_templates.jl | 22 +++++++++++++++++++ docs/src/index.md | 2 +- 2 files changed, 23 insertions(+), 1 deletion(-) diff --git a/docs/literate/man/unitary_problem_templates.jl b/docs/literate/man/unitary_problem_templates.jl index b4ee5b89..2121f883 100644 --- a/docs/literate/man/unitary_problem_templates.jl +++ b/docs/literate/man/unitary_problem_templates.jl @@ -93,4 +93,26 @@ println(sampling_prob.trajectory.state_names) # _the `solve!` proceeds as in the [Quantum State Sampling Problem](#Quantum-State-Sampling-Problem)]_ +# ----- + +#= +## Unitary Variational Problem + +```@docs; canonical = false +UnitaryVariationalProblem +``` + +The `UnitaryVariationalProblem` uses a `VariationalQuantumSystem` to find a control that is +sensitive or robust to terms in the Hamiltonian. See the documentation for the +`VariationalQuantumSystem` in [`PiccoloQuantumObjects.jl`](https://github.com/harmoniqs/PiccoloQuantumObjects.jl) +for more details. +=# + +# _create a variational system, with a variational Hamiltonian, `PAULIS.X`_ +H_var = PAULIS.X +varsys = VariationalQuantumSystem([PAULIS.X, PAULIS.Y], [H_var]); + +# _create a variational problem that is robust to `PAULIS.X` at the end_ +robprob = UnitaryVariationalProblem(varsys, U_goal, T, Δt, robust_times=[[T]]); + # ----- \ No newline at end of file diff --git a/docs/src/index.md b/docs/src/index.md index 67cfbf70..b548075a 100644 --- a/docs/src/index.md +++ b/docs/src/index.md @@ -55,7 +55,7 @@ while a *UnitaryMinimumTimeProblem* minimizes time and constrains fidelity, ----- -In each case, the dynamics between *knot points* $(U_t, a_t)$ and $(U_{t+1}, a_{t+1})$ are enforced as constraints on the states, which are free variables in the solver; this optimization framework is called *direct collocation*. +In each case, the dynamics between *knot points* $(U_t, a_t)$ and $(U_{t+1}, a_{t+1})$ are enforced as constraints on the states, which are free variables in the solver; this optimization framework is called *direct trajectory optimization*. -----