Title: Non-Local Constraint Satisfaction with Quantum Entanglement

Jincheng Zhang

Published Sep 1, 2026• 0 citations

Abstract

This paper explores the application of quantum entanglement to enhance constraint satisfaction algorithms, specifically focusing on scalability for large, interconnected problems. Traditional constraint satisfaction (CS) algorithms often struggle with the computational complexity of exhaustive search, limiting their applicability to complex systems. We propose a novel approach utilizing quantum entanglement to accelerate solution finding by enabling a fundamentally different search strategy. This research investigates the potential of distributed quantum processing to overcome these limitations, aiming to provide a more efficient and scalable solution for challenging CS problems.

DOI: 10.5281/zenodo.22223412

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