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Quantum Topology: Dynamic Geometric Transformation

Jincheng Zhang

Published Aug 31, 2026• 0 citations
Publisher

Abstract

Quantum topology, a rapidly developing field of physics, promises revolutionary insights into the fundamental properties of space and time. This research investigates the application of quantum topology to dynamic geometric transformations, specifically focusing on the design of an algorithm leveraging quantum entanglement and topological structure to achieve controlled geometric reshaping. The core claim is that a novel dynamic geometry algorithm, driven by quantum entanglement and topological principles, offers a significant advancement over traditional methods, enabling the efficient and controlled manipulation of geometric forms. This paper presents a detailed theoretical framework and preliminary implementation of the proposed algorithm, exploring its potential for applications across diverse fields, including materials science, computational geometry, and potentially, advanced robotics. The investigation delves into the intricacies of quantum entanglement and its role in generating the required topological control, ultimately demonstrating a pathway towards dynamic geometric transformations with unprecedented precision and adaptability.

DOI
10.5281/zenodo.22195915

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This paper explores the application of dynamic adaptive topological geometry to quantum entanglement control. The core concept revolves around leveraging quantum entanglement to dynamically modify the topology of a geometric structure, enabling precise geometric transformations and facilitating quantum computations. We present a novel algorithm that utilizes entangled states to control the evolution of topological parameters, offering a pathway towards enhanced precision and control in quantum processing. The research focuses on the design of a flexible and adaptable system capable of handling the inherent complexity of quantum entanglement. The paper details the methodology, demonstrating the algorithm's efficacy through simulations and a preliminary analysis of quantum entanglement manipulation. The results suggest a significant improvement in geometric precision and control compared to traditional methods.
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