Quantum Entanglement-Guided Constraint Satisfaction

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum entanglement offers a potentially transformative approach to constraint satisfaction problems (CSPs), offering the possibility of dynamically adjusting constraints and exploring solution spaces with unprecedented efficiency. This paper proposes a novel quantum-enhanced constraint solver based on entanglement, aiming to improve solution quality and facilitate the exploration of a wider range of potential solutions. We detail the core mechanism, outlining the implementation of a quantum-enhanced solver that utilizes entanglement to identify and resolve conflicting constraints, ultimately leading to more effective and nuanced CSP solutions. The paper explores the theoretical foundations and practical considerations of this approach, highlighting its potential impact on the field of computational complexity.

DOI: 10.5281/zenodo.22203718

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