自适应量子纠缠的拓扑信息分析

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper introduces a novel approach to topology analysis utilizing self-adapted quantum entanglement. Traditional topology methods rely on classical computation, while quantum entanglement offers the potential for significantly accelerated analysis. We propose a method that leverages the unique properties of entangled states to effectively analyze complex topological structures, ultimately providing a more efficient computational framework. The core mechanism centers on exploiting the superposition and entanglement dynamics inherent in quantum systems to uncover subtle topological relationships that are difficult to discern with classical techniques. This research explores the potential of this approach to enhance the analysis of intricate topological landscapes, offering a promising pathway toward improved computational efficiency and a deeper understanding of topological phenomena.

DOI: 10.5281/zenodo.22185306

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