Title: Quantum Entanglement-Driven Dynamic Topology Transformation

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum entanglement offers a fundamentally different approach to computation compared to classical methods. This paper explores the potential of utilizing quantum entanglement to enable dynamic topology transformations, aiming to enhance computational efficiency and accuracy. We propose a novel method based on the inherent properties of entangled states, allowing for the automated manipulation of topological structures. This approach offers a compelling alternative to traditional topological transformations, leveraging the unique capabilities of quantum mechanics to achieve significant improvements in computational performance. The core mechanism centers on exploiting entangled states to perform transformations without the need for explicit, computationally intensive mapping procedures. This research investigates the feasibility and potential of this dynamic transformation technique, highlighting its advantages and outlining future research directions.

DOI: 10.5281/zenodo.22185302

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