David E. Bernal Neira · 2026 · arXiv
DOI: 10.48550/arXiv.2610.27362 · open-access PDF
Quantum 및 Physics-inspired solvers는 Ising 및 quadratic 무제한 바이너리 최적화 모델에 대한 전문 샘플링 인터페이스를 제공하지만, 제한된 최적화는 더 넓은 조정 및 인증을 필요로합니다.이 설문 조사는 클래식 분해를 사용하여 이러한 솔루저가 하이브리드 양자-클래식 알고리즘에 어떻게 통합 될 수 있는지 분석합니다.We distinguish formal decomposition, reformulation and reduction, and computational orchestration.For each interface, we ask what the transformation preserves, what assumptions make the external method converge, and which certifies the implemented method.
Machine translation (Meta M2M100); the English original follows.
Quantum and physics-inspired solvers provide specialized sampling interfaces for Ising and quadratic unconstrained binary optimization models, but constrained optimization requires broader coordination and certification. This survey uses classical decomposition to analyze how such solvers can be integrated into hybrid quantum-classical algorithms. We distinguish formal decomposition, reformulation and reduction, and computational orchestration. For each interface, we ask what the transformation preserves, which assumptions make the outer method converge, and which certificates the implemented
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