Based Dynamic Topology of Quantum Entanglement Optimization

Jincheng Zhang

Published Sep 1, 2026• 0 citations

Abstract

This paper introduces a novel algorithm for quantum entanglement optimization, leveraging the unique properties of quantum entanglement to dynamically adjust topological structures. Traditional optimization methods rely on static parameters, failing to effectively address complex, non-linear systems. Our proposed approach utilizes quantum entanglement to enable a more robust and adaptable optimization process. We demonstrate the effectiveness of this method through a series of theoretical analyses and numerical simulations, showcasing its superior performance compared to conventional approaches in a range of topological optimization problems. This work presents a fundamentally new approach to topology optimization, relying on the intricate dynamics of quantum entanglement.

DOI: 10.5281/zenodo.22220392

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