基于量子纠缠的非线性拓扑几何优化

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

This paper explores the application of quantum entanglement to non-linear topological geometry optimization. We propose a novel approach utilizing entangled states to guide the optimization process, leveraging the inherent properties of topology to achieve high precision. The core mechanism involves employing a quantum algorithm that exploits the correlations within entangled states to effectively navigate the search space and find optimal solutions. The paper details the initial setup, the quantum algorithm employed, and the resulting optimization results. The core claim is that this method provides a fundamentally new perspective on optimization, driven by the unique properties of quantum entanglement and topology. The paper concludes with a discussion of the potential implications of this research for various fields, including materials science, computational geometry, and potentially, advanced control systems.

DOI: 10.5281/zenodo.22635597

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