基于量子纠缠的几何结构拓扑优化

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

This paper explores the potential of leveraging quantum entanglement to revolutionize geometric structure optimization. Traditional geometric optimization methods often struggle with complex structures and topological problems due to their reliance on classical computational tools. We propose a novel approach utilizing quantum entanglement to construct a dynamic model, allowing for the optimization of complex geometric structures with enhanced precision and the ability to tackle intricate topological problems. This work introduces a framework that leverages entangled states to represent and manipulate geometric configurations, offering a fundamentally different approach to optimization compared to existing techniques. The core mechanism involves establishing a quantum-enhanced representation of the optimization landscape, enabling the exploration of solutions beyond classical parameter spaces. The paper presents a preliminary investigation of this approach, demonstrating its potential for handling challenging geometric problems through quantum-enhanced modeling and optimization.

DOI: 10.5281/zenodo.22300269

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