基于量子纠缠的拓扑优化算法

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper explores the potential of leveraging quantum entanglement for a novel optimization algorithm, termed "Quantum Topological Optimization" (QTO). We investigate the application of entangled states to represent and manipulate topological structures, aiming to enhance the efficiency of traditional optimization techniques. The core mechanism revolves around utilizing entangled correlations to identify and manipulate key parameters within a topological landscape, ultimately leading to improved solution quality. The paper details the theoretical framework and initial implementation of QTO, highlighting its unique strengths and potential applications within various optimization problems. This research contributes to the exploration of quantum-enhanced optimization methods, offering a promising pathway for accelerating the discovery of optimal solutions in complex scenarios.

DOI: 10.5281/zenodo.22189986

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