基于量子态的拓扑优化算法

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

This paper introduces a novel quantum-based topology optimization algorithm designed to address the challenges associated with optimizing complex topological structures, such as molecular design and communication network optimization. Traditional optimization methods often struggle with the intricate nature of these structures. This algorithm leverages the unique properties of quantum states to provide a fundamentally different approach to topology optimization, offering enhanced efficiency and potentially novel solutions. The core mechanism involves mapping the optimization problem onto a quantum Hilbert space, utilizing quantum entanglement and superposition to guide the search process toward optimal solutions. The proposed algorithm demonstrates promising results in several benchmark scenarios, showcasing its potential for tackling complex topological optimization problems. The paper concludes by discussing the limitations and future directions of this approach.

DOI: 10.5281/zenodo.22280872

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