Quantum Entanglement-Driven Constraint Propagation

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

This paper explores the potential of quantum entanglement to revolutionize constraint propagation in systems modeling. We propose a novel quantum algorithm, the "Quantum Steering System," which dynamically adjusts constraints on a system based on entanglement measurements, offering a significantly enhanced level of precision compared to classical methods. This advancement promises breakthroughs in areas ranging from materials science and molecular dynamics simulations to optimization problems. The core of this work centers on the fundamental concept of utilizing entanglement to create a 'steering' mechanism within the system's physical constraints, enabling a level of adaptability and reduced error rates previously unattainable with classical approaches. We detail the algorithm's architecture, the underlying quantum mechanics, and preliminary experimental validation demonstrating its efficacy.

DOI: 10.5281/zenodo.22469757

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