Quantum Entanglement-Driven Topological Structure Optimization

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum entanglement offers a novel approach to optimizing complex topological structures, particularly within the realm of quantum information processing. This paper explores the potential of leveraging quantum entanglement to guide the optimization process, proposing a new algorithm based on entangled states to achieve enhanced efficiency in topological structure manipulation. We present a mechanism that utilizes entangled quantum states to parameterize and refine topological configurations, demonstrating improved performance in specific optimization scenarios compared to traditional methods. The core claim centers on the utilization of quantum entanglement to fundamentally alter the optimization landscape, leading to more efficient topology generation. The paper details the core mechanism and provides preliminary results illustrating the algorithm's efficacy.

DOI: 10.5281/zenodo.22190205

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