Module quantum_optimization 

Quantum-Inspired Optimization Algorithms for SciRS2

This module implements cutting-edge optimization algorithms inspired by quantum computing principles, including quantum annealing, quantum evolutionary algorithms, and quantum-inspired metaheuristics for solving complex optimization problems.

These algorithms provide enhanced convergence properties and can escape local optima more effectively than classical algorithms.

Structs

OptimizationResult

Result of quantum optimization

QuantumOptimizer

Quantum-inspired optimizer for complex optimization problems

QuantumParameters

Parameters for quantum-inspired optimization

QuantumState

Quantum state representation for optimization variables

Enums

QuantumStrategy

Quantum-inspired optimization strategy