基于量子自旋场的拓扑数据分析框架

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper introduces a novel framework for analyzing complex systems through the application of quantum spin dynamics. We construct a data analysis framework leveraging the inherent properties of quantum spin, specifically focusing on dynamic behavior. The core mechanism involves utilizing quantum spin's inherent wave function evolution to model complex system topology and achieve accurate data modeling. This approach offers a powerful means of understanding and predicting the behavior of systems exhibiting topological properties, which are increasingly prevalent in diverse fields such as materials science, biology, and information theory. The framework presents a unique perspective on data analysis, offering enhanced precision and interpretability compared to conventional methods. The paper details the framework's design, implementation, and preliminary results, demonstrating its potential for uncovering intricate topological structures and providing valuable insights into system behavior.

DOI: 10.5281/zenodo.22184069

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