Quantum Topology Network Structure Optimization Algorithm

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum topology networks (QTN) represent a fascinating and rapidly evolving field within quantum information theory, offering the potential for unprecedented computational capabilities. This paper introduces a novel optimization algorithm, termed "Adaptive Topology Network Structure Optimization," (ATNO) designed to leverage the unique properties of quantum entanglement and self-organization to dynamically adjust QTN structures. We present a mechanism utilizing quantum entanglement to guide the evolution of network topology, guided by a quantum algorithm that optimizes network parameters based on a feedback loop. The core claim is that ATNO provides a significantly more adaptable and efficient approach compared to traditional optimization methods, especially when dealing with complex topological networks. This work explores the potential of leveraging quantum mechanics to overcome the limitations of classical optimization techniques in the context of QTN design and analysis.

DOI: 10.5281/zenodo.22204508

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