Dynamic Quantum Entanglement Network Optimization

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

This paper introduces a novel dynamic quantum entanglement network optimization algorithm designed to automatically adjust the topology of quantum entanglement networks to maximize entanglement efficiency and communication capabilities. Traditional approaches to network optimization often rely on manual design, while this algorithm leverages the inherent dynamism of quantum entanglement to optimize network structure through an iterative optimization process. The core mechanism involves monitoring and dynamically adjusting the network topology based on a set of defined metrics, leading to enhanced entanglement quality and improved communication performance. The algorithm's effectiveness is demonstrated through simulations and preliminary experimental results, highlighting its potential to significantly improve the performance of quantum communication systems.

DOI: 10.5281/zenodo.22267771

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