基于量子网络的自适应拓扑优化

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum networks offer the potential for unparalleled secure communication and distributed quantum computing, but the inherent complexity of quantum systems necessitates efficient and robust optimization techniques. This paper introduces a novel quantum network topology optimization algorithm based on a self-adaptive topology structure, leveraging quantum network properties for automated adjustments. We propose a framework that dynamically adjusts network parameters to enhance quantum information transmission and processing, demonstrating improved performance compared to existing methods. The core mechanism centers around a dynamically evolving topology, allowing for optimized quantum states. This approach minimizes errors and maximizes fidelity in quantum information transfer and processing.

DOI: 10.5281/zenodo.22200434

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