Dimension Generalization Geometry: A Quantum Entanglement Simulation

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper explores the potential of quantum entanglement to revolutionize geometry simulation, specifically focusing on the development of a novel dimension generalization geometry model. Traditional methods struggle with the complexities of high-dimensional geometric transformations, offering a promising avenue for enhanced computational efficiency. This work proposes a framework leveraging quantum entanglement to accurately simulate geometric changes across different dimensions, utilizing entanglement's unique properties for accelerated computation. We outline the core mechanism, detailing how entanglement is integrated into the simulation process, and highlight the potential benefits of this approach in terms of geometric analysis and computational speed.

DOI: 10.5281/zenodo.22203834

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