Dynamic Topology Geometry: A Quantum Entanglement-Based Computational Framework

Jincheng Zhang

Published Aug 29, 2026• 0 citations

Abstract

This paper introduces a novel computational framework leveraging the principles of dynamic topology geometry, specifically incorporating quantum entanglement as a fundamental building block. We propose a new algorithm that utilizes quantum state transitions and entanglement to dynamically adjust and optimize the topological structure of a given geometry. The core claim is that this approach offers a significant leap in computational efficiency and precision compared to classical methods, particularly for complex geometric configurations. This development aims to move beyond the limitations of traditional techniques and opens the door to solutions that are currently intractable. The paper details the underlying mathematical principles, the algorithm's structure, and its potential impact on various geometric applications.

DOI: 10.5281/zenodo.22153978

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