基于自适应量子纠缠的几何变换算法

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

This paper introduces a novel geometric transformation algorithm based on adaptive quantum entanglement. Traditional geometric transformations often rely on iterative refinement and are susceptible to approximations. This work proposes a fundamentally different approach utilizing quantum entanglement to achieve precise geometric control, particularly in high-dimensional scenarios. We detail the core mechanism, which involves constructing a quantum state representation of the transformation process, and demonstrate its effectiveness through theoretical analysis and preliminary experimental validation. The algorithm's key advantage lies in its ability to maintain fidelity and robustness across multiple iterations, offering a significant improvement over existing methods. The paper concludes with a discussion of the algorithm's limitations and potential for future development.

DOI: 10.5281/zenodo.22447011

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