Title: Quantum-Enhanced Constraint Satisfaction Problem Solving with Hybrid Search

Jincheng Zhang

Published Sep 2, 2026• 0 citations

Abstract

Quantum annealing is a promising approach to solving constraint satisfaction problems (CSPs) due to its potential to escape local optima and explore the solution space more efficiently. However, traditional CSP solvers often struggle with highly complex, multi-variable problems. This paper investigates a novel hybrid search strategy that integrates quantum annealing with a modified CSP solver, leveraging quantum tunneling to accelerate the search process. We demonstrate that this approach significantly improves the speed and accuracy of solving complex CSPs compared to existing methods. The core mechanism involves combining quantum annealing with a dynamically adjusted CSP solver to effectively manage the high dimensionality of the problem. This work presents a new framework for tackling challenging CSPs with enhanced search capabilities.

DOI: 10.5281/zenodo.22242470

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