Expand description
Quantum Approximate Optimization Algorithm (QAOA) Implementation
This module provides a comprehensive implementation of QAOA for combinatorial optimization problems, including advanced problem encodings, multi-level QAOA, and hardware-aware optimizations.
Structs§
- Multi
LevelQAOA Config - Multi-level QAOA configuration
- Parameter
Database - Parameter transfer database
- Problem
Characteristics - Problem characteristics for parameter transfer
- QAOA
Config - QAOA configuration
- QAOA
Graph - Graph representation for QAOA problems
- QAOA
Level - QAOA level configuration
- QAOA
Optimizer - Main QAOA optimizer
- QAOA
Result - QAOA result
- QAOA
Stats - QAOA statistics
- Quantum
Advantage Metrics - Quantum advantage analysis
- Solution
Quality - Solution quality metrics
Enums§
- Level
Transition Criteria - Level transition criteria
- QAOA
Constraint - QAOA constraints
- QAOA
Initialization Strategy - QAOA initialization strategies
- QAOA
Mixer Type - QAOA mixer types
- QAOA
Optimization Strategy - QAOA optimization strategy
- QAOA
Problem Type - QAOA problem types
Functions§
- benchmark_
qaoa - Benchmark QAOA performance