基于量子纠缠的几何拓扑变换优化

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

Quantum entanglement offers a unique paradigm for manipulating geometric structures, potentially surpassing the limitations of classical computational methods. This research explores the application of entanglement to optimize geometric transformations, leveraging the correlated properties of entangled states to achieve higher precision and efficiency. We propose a novel algorithm that utilizes entangled states to guide the transformation process, demonstrating improved accuracy and computational speed compared to traditional approaches. This work presents a fundamental framework for incorporating quantum mechanics into geometric optimization, addressing a significant challenge in computational geometry.

DOI: 10.5281/zenodo.22266119

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