Title: Non-Local Constraint Propagation via Entanglement

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

This paper investigates a novel approach to constraint propagation, utilizing entanglement to significantly accelerate the solving of complex, multi-dimensional problems. Traditional constraint propagation methods often struggle with scalability and computational complexity, particularly when dealing with high-dimensional spaces. We propose a new algorithm centered around entanglement, demonstrating a substantial improvement in performance through enhanced constraint evaluation and reduced computational overhead. The core mechanism involves establishing entangled state representations of constraint sets, enabling efficient exploration and manipulation of potential solutions. This research explores the potential of quantum entanglement to fundamentally alter the landscape of constraint propagation, offering a promising pathway towards more efficient and robust problem-solving.

DOI: 10.5281/zenodo.22290443

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