基于量子纠缠的自适应几何变换算法

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

This paper introduces a novel algorithm based on quantum entanglement to facilitate adaptive geometric transformations. Traditional geometric transformations often rely on fixed parameters and lack the flexibility to handle intricate transformations. We propose a system leveraging quantum entanglement to dynamically adjust geometric parameters, optimizing the transformation process for enhanced efficiency and precision. The core mechanism involves creating and manipulating entangled states to guide the transformation, offering a fundamentally different approach compared to conventional methods. The algorithm demonstrates significant improvements in geometric transformation accuracy and speed through the application of quantum entanglement. This work presents a promising pathway for advancing geometric computation, particularly in scenarios requiring complex transformations and high fidelity.

DOI: 10.5281/zenodo.22292851

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