Quantum Network Optimization Algorithm

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum network optimization is a crucial challenge in modern communication and data processing, particularly in areas like quantum computing and quantum sensing. Traditional optimization algorithms often struggle to effectively manage the complex dynamics of quantum networks, limiting their performance. This paper introduces a novel quantum self-organization network optimization algorithm leveraging quantum entanglement and self-organizing properties to enhance network structural optimization. We propose a quantum algorithm that automatically adjusts network topology based on entanglement dynamics, improving the algorithm's adaptability and efficiency. The core mechanism centers around utilizing quantum entanglement to facilitate the evolution of network structures, guided by a specialized optimization algorithm. This approach offers a fundamentally different perspective on network optimization, potentially unlocking significant improvements in network performance and resilience. The algorithm's design incorporates a mechanism that dynamically adjusts parameters based on entanglement patterns, leading to optimized network configurations.

DOI: 10.5281/zenodo.22204459

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