基于量子关联的拓扑几何计算框架

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

This paper introduces a novel computational framework based on quantum entanglement to efficiently compute the evolution paths of topological structures and leverage these results for geometric optimization. Traditional methods struggle to accurately model complex topological configurations. Our framework leverages quantum entanglement to enable a fundamentally different approach to topological analysis, offering enhanced computational efficiency and the potential for significant geometric optimization. We present a detailed mathematical model and demonstrate its efficacy through illustrative examples, highlighting its advantages over existing techniques. The core mechanism centers around the controlled manipulation of entanglement to accelerate the exploration of topological landscapes and guide the refinement of geometric designs.

DOI: 10.5281/zenodo.22276321

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