Quantum-Enhanced Constraint Satisfaction for Complex Constraint Systems

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

This paper investigates the application of quantum computing principles to enhance constraint satisfaction problems (CSPs), specifically for complex, large-scale systems. We propose a novel quantum-enhanced constraint satisfaction technique, utilizing quantum algorithms to expedite the search process and improve solution accuracy. The core mechanism centers on exploiting quantum properties – superposition and entanglement – to effectively explore the solution space and mitigate the exponential complexity inherent in traditional CSP solvers. The paper presents a detailed analysis of the algorithm's design, implementation, and potential benefits, demonstrating improved performance compared to classical methods on benchmark CSPs. The core claim is that quantum-enhanced constraint satisfaction can significantly reduce computational time and improve solution quality for complex systems, offering a substantial advancement in this field.

DOI: 10.5281/zenodo.22263788

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