基于非线性量子纠缠的拓扑结构分析

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper investigates the application of non-linear quantum entanglement to improve the efficiency and accuracy of topological structure analysis. Traditional methods often struggle with complex systems, while our framework offers a fundamentally new approach leveraging the unique properties of entangled quantum states to enhance analysis. We explore a novel methodology utilizing entangled qubit states to uncover subtle topological features within data sets, ultimately providing a more robust and insightful tool for modeling complex systems. The core claim centers on the potential to significantly accelerate and refine topological structure analysis through the integration of quantum entanglement. This work presents a theoretical framework and preliminary experimental demonstrations focusing on the analysis of graph networks, demonstrating promising results in identifying critical topological structures. The paper concludes with a discussion of future research directions and the potential impact of this approach on various fields.

DOI: 10.5281/zenodo.22205746

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