基于量子拓扑的几何变换的自适应调整

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

Quantum topology offers a novel approach to geometric transformations, leveraging the unique properties of quantum entanglement to achieve automated and dynamic adjustments. This paper explores the design and implementation of a novel algorithm, "Quantum Morphing," predicated on this foundation. We demonstrate the algorithm's ability to efficiently optimize geometric transformations through the controlled manipulation of quantum entanglement, addressing limitations inherent in traditional optimization techniques. The core mechanism focuses on utilizing entanglement to guide the algorithm's trajectory, minimizing computational complexity and maximizing the resulting transformations. This work represents a significant step towards automated and adaptive geometric processing, potentially revolutionizing applications across diverse fields such as computer graphics, data analysis, and computational geometry.

DOI: 10.5281/zenodo.22267949

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