Quantum Computing Topology Optimization

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

This paper introduces a novel quantum computing-based topology optimization algorithm, aiming to address the limitations of traditional optimization methods by leveraging quantum computational principles. We propose a framework that utilizes quantum algorithms to effectively explore the complex topological structures inherent in optimization problems. The core mechanism involves manipulating parameters within a defined topological space, allowing for the discovery of optimal solutions with enhanced efficiency. The paper details the algorithm's design, including the quantum circuit implementation, optimization process, and preliminary results demonstrating its potential for superior performance compared to classical approaches. The research highlights the importance of quantum computing for tackling complex optimization challenges across diverse fields.

DOI: 10.5281/zenodo.22290053

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