基于量子态的拓扑网络优化

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

This paper investigates a novel approach to topology network optimization utilizing quantum state manipulation. Traditional methods often rely on classical algorithms, but this research explores the potential of quantum mechanics to enhance network structure optimization. We propose a method that leverages the inherent properties of quantum states to represent and optimize network topologies, aiming to improve network performance. The core mechanism involves quantum algorithms designed to iteratively refine network configurations based on quantum state transformations. This offers a potential paradigm shift in topology network optimization, potentially surpassing the limitations of classical approaches. The study details the theoretical underpinnings of the proposed method, including the representation of networks using quantum states and the core algorithm design. The paper concludes with a discussion of the challenges and future directions for this research, emphasizing the potential for significant advancements in network design and performance.

DOI: 10.5281/zenodo.22636024

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