Optimizers

Divi provides multiple optimization strategies for quantum algorithm parameter tuning, from classical gradient-based methods to quantum-inspired approaches.

divi.qprog.optimizers Module

Functions

copy_optimizer(optimizer)

Create a new optimizer instance with the same configuration as the given optimizer.

Classes

GridSearchOptimizer([param_grid, ...])	Exhaustive grid search optimizer.
MonteCarloOptimizer([population_size, ...])	Monte Carlo-based parameter search optimizer.
MonteCarloState(**data)	Pydantic model for Monte Carlo optimizer state.
Optimizer()	Abstract base class for all optimizers.
PymooMethod()	Supported optimization methods from the pymoo library.
PymooOptimizer(method[, population_size])	Optimizer wrapper for pymoo optimization algorithms and CMA-ES.
PymooState(**data)	Pydantic model for Pymoo optimizer state.
ScipyMethod()	Supported optimization methods from scipy.optimize.
ScipyOptimizer(method)	Optimizer wrapper for scipy.optimize methods.