Quantum-Enhanced Constraint Satisfaction in Complex Domains

Jincheng Zhang

Published Sep 2, 2026• 0 citations

Abstract

Quantum-enhanced constraint satisfaction problems (CSPs) present a compelling challenge for optimization and problem-solving, especially in complex domains with intricate constraints. This paper explores the potential of leveraging quantum algorithms, specifically quantum annealing and variational quantum eigensolver (VQE), to accelerate CSPs. We propose a novel technique that utilizes quantum annealing to efficiently explore a larger solution space, enabling the identification of key constraints and significantly reducing computational time. This work aims to address the limitations of classical CSP solvers in complex scenarios, offering a significant advancement in problem-solving capabilities.

DOI: 10.5281/zenodo.22242681

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