自适应拓扑几何的动态构建

Jincheng Zhang

Published Sep 2, 2026• 0 citations

Abstract

This paper explores the potential of self-adaptive topology geometry, utilizing quantum entanglement to generate complex and scalable topological structures. Traditional approaches often struggle with intricate geometries, necessitating computationally intensive methods. We propose a novel algorithm that leverages quantum entanglement to dynamically reshape geometry, allowing for the creation of structures beyond the limitations of classical computation. This work introduces a "quantum topological deformation" mechanism, enabling instantaneous transformations and localized structural evolution through entangled states. The core claim is that this approach offers a fundamentally new pathway for topology generation, surpassing the capabilities of existing algorithms. This study investigates the algorithm's capabilities and potential applications, focusing on its ability to produce topologically rich and scalable structures.

DOI: 10.5281/zenodo.22248986

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