自适应拓扑优化算法的量子计算实现

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

This paper presents a novel quantum computing implementation of an adaptive topology optimization algorithm. Traditional topology optimization methods often rely on manual design and can struggle with complex topological structures. Our approach leverages quantum entanglement and "拓扑脉冲" to dynamically construct and optimize these structures, offering a paradigm shift in the field. We detail the core mechanism, outlining the quantum state manipulation and the resulting topological changes that drive optimization. The paper explores the potential of this algorithm for generating novel topological motifs and demonstrates its efficacy through theoretical analysis and a preliminary simulation.

DOI: 10.5281/zenodo.22295205

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