基于量子纠缠的拓扑网络优化

Jincheng Zhang

Published Aug 29, 2026• 0 citations

Abstract

This paper investigates the application of quantum entanglement to optimize the structure of topological networks. Traditional topological network optimization algorithms often rely on static configurations, limiting their ability to leverage the inherent correlations within the network. We propose a novel algorithm that utilizes quantum entanglement to dynamically adjust network topology, resulting in enhanced performance. This research focuses on the fundamental principles of entanglement and its implications for network optimization. The core mechanism involves establishing entangled state representations of network nodes and exploring their interactions to guide the optimization process. We demonstrate the effectiveness of this approach through a simulation of a specific topological network, highlighting its ability to achieve significant improvements in network connectivity and overall performance compared to traditional methods.

DOI: 10.5281/zenodo.22154312

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