Quantum Entanglement-Based Constraint Satisfaction (QECS)

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

Quantum entanglement, a bizarre yet powerful phenomenon in quantum mechanics, has garnered increasing attention as a potential tool for computation and information processing. This research focuses on the application of entanglement to the constraint satisfaction problem (CSP), a fundamental area of computer science with widespread applications across various fields. We propose a novel constraint satisfaction algorithm, QECS, which leverages entanglement to accelerate the search for solutions within a complex, highly constrained space. This paper details the algorithm's core mechanisms, explores its theoretical advantages, and presents preliminary results demonstrating a significant speedup compared to classical approaches for specific CSP instances. The core claim is that QECS offers a substantial improvement in computational efficiency, particularly when dealing with challenging constraints.

DOI: 10.5281/zenodo.22271822

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