Module variational_optimization

Enhanced variational parameter optimization using SciRS2

This module provides advanced optimization techniques for variational quantum algorithms leveraging SciRS2’s optimization capabilities including:

• Gradient-based methods (BFGS, L-BFGS, Conjugate Gradient)
• Gradient-free methods (Nelder-Mead, Powell, COBYLA)
• Stochastic optimization (SPSA, Adam, RMSprop)
• Natural gradient descent for quantum circuits

Structs

ConstrainedVariationalOptimizer

Constrained optimization for variational circuits

Constraint

Constraint for optimization

HyperparameterOptimizer

Hyperparameter optimization for variational circuits

HyperparameterResult

Hyperparameter optimization result

HyperparameterTrial

Single hyperparameter trial

OptimizationConfig

Configuration for optimization

OptimizationHistory

Optimization history tracking

OptimizationResult

Optimization result

VariationalQuantumOptimizer

Advanced optimizer for variational quantum circuits

Enums

ConstraintType

Constraint type

OptimizationMethod

Optimization methods available

Functions

create_natural_gradient_optimizer

Create natural gradient optimizer

create_qaoa_optimizer

Create optimized QAOA optimizer

create_spsa_optimizer

Create SPSA optimizer for noisy quantum devices

create_vqe_optimizer

Create optimized VQE optimizer