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Dynamic Geometry Transformations via Quantum Entanglement for Adaptive Geometry

Jincheng Zhang

Published Aug 31, 2026• 0 citations
Publisher

Abstract

This paper explores the potential of quantum entanglement to revolutionize geometric transformations. We propose a novel algorithm, Dynamic Geometry Transformations via Quantum Entanglement, that dynamically adjusts geometric operations based on input data, enabling the creation of complex geometric structures with unprecedented efficiency and automation. The core mechanism centers around utilizing quantum entanglement to establish a correlated state, allowing for instantaneous adjustments to geometric parameters without requiring explicit calculation. This approach offers a paradigm shift in geometric modeling and manipulation, potentially unlocking new capabilities in areas such as generative art, design, and scientific visualization. The study emphasizes the theoretical foundation and initial implementation of this algorithm, highlighting its potential for significant advancements in geometric computation.

DOI
10.5281/zenodo.22205251

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