Module adiabatic 

Adiabatic Quantum Computing Simulation

This module implements adiabatic quantum computing (AQC) and quantum annealing algorithms for solving optimization problems. It includes:

• Adiabatic evolution under time-dependent Hamiltonians
• Quantum annealing for combinatorial optimization
• Problem encodings (QUBO, Ising model, etc.)
• Annealing schedules and gap analysis
• Performance monitoring and optimization

Structs

AdiabaticQuantumComputer

Adiabatic quantum computer simulator

IsingProblem

Ising model problem representation

ProblemGenerator

Create common optimization problems for testing

QUBOProblem

QUBO (Quadratic Unconstrained Binary Optimization) problem representation

QuantumAnnealer

Quantum annealing optimizer for solving optimization problems

QuantumAnnealingSnapshot

Snapshot of quantum annealing state at a point in time

Enums

AnnealingSchedule

Annealing schedule types

ProblemType

Types of optimization problems for adiabatic quantum computing