基于自适应量子纠缠的拓扑网络分析

Jincheng Zhang

Published Aug 29, 2026• 0 citations

Abstract

This paper introduces a novel framework for analyzing complex topological networks utilizing the unique properties of quantum entanglement. Traditional methods often struggle to accurately represent and analyze dynamic network changes. We propose a system that leverages quantum entanglement to dynamically model network evolution, providing a more sophisticated and robust approach to topology analysis. The core mechanism focuses on establishing a dynamic entanglement state, allowing for continuous monitoring of network topology changes. This framework offers a significant advancement over existing techniques by offering a mechanism for exploring and understanding complex network dynamics.

DOI: 10.5281/zenodo.22158496

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