Dynamic Quantum Entanglement Topological Network Self-Organization

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper investigates the self-organization of dynamic quantum entanglement topological networks. The core claim is to leverage the dynamic nature of topological entanglement to enable adaptive topological rearrangement among quantum network nodes, ultimately optimizing quantum information transmission efficiency and resilience. The proposed mechanism utilizes a topological sensitivity mapping based on quantum entanglement, combined with machine learning algorithms to predict network topology changes and control adjustments to entangled states between nodes for self-organization. We demonstrate a novel approach to constructing quantum networks with enhanced adaptability and performance compared to traditional static topological designs. The key mathematical framework is presented, focusing on entanglement quantification, network topology representation, and the optimization algorithms used for self-organization. The research addresses a critical gap in current topological quantum network design by introducing a dynamic, self-adaptive system. The results suggest significant potential for future quantum network architectures, particularly in scenarios demanding high bandwidth, robustness, and scalability.

DOI: 10.5281/zenodo.22192172

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