Title: Non-Local Constraint Propagation via Entangled Variables

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper investigates the application of entanglement to enhance constraint propagation within complex systems. The core challenge lies in efficiently enforcing constraints across multiple variables without relying on traditional methods that often suffer from scalability issues. We propose a novel mechanism centered around creating a shared representation of the system through entanglement, allowing for the detection of inconsistencies that would otherwise go unnoticed. The resulting system exhibits a significantly improved ability to identify and resolve inconsistencies, offering a fundamentally new approach to constraint enforcement. This work leverages the unique properties of entanglement to achieve a more robust and scalable solution compared to existing techniques. This research focuses on the design and implementation of a conditional entanglement scheme, demonstrating its efficacy through simulations and initial experimental validation.

DOI: 10.5281/zenodo.22199999

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