基于量子纠缠的自适应拓扑结构分析

Jincheng Zhang

Published Sep 5, 2026• 0 citations

Abstract

This paper investigates the potential of leveraging quantum entanglement to revolutionize the field of topology analysis. Traditional topology methods rely on meticulously crafted models, limiting flexibility and computational efficiency. We propose a novel system utilizing quantum entanglement to dynamically adjust the topology of a structure, allowing for more accurate and adaptable analysis. The core mechanism centers on establishing a quantum-enhanced entanglement network that facilitates self-organizing and structural analysis. The investigation explores the feasibility of this approach for identifying intricate topological patterns in complex data sets, presenting a framework for future research and development. The paper concludes with a discussion of the potential impact of this technique on both theoretical and practical applications of topology.

DOI: 10.5281/zenodo.22318920

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