自适应矩阵的动态几何变换的基于量子计算的自相干

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper investigates the application of quantum computing to the optimization of matrix transformations, specifically focusing on dynamic geometric transformations. We propose a novel algorithm leveraging quantum entanglement and topological transformations to dynamically adjust matrix transformations, offering a significant improvement over static matrix manipulation methods. The core mechanism centers on exploiting quantum properties to enhance numerical computation efficiency. This approach aims to address limitations in current numerical methods, particularly when dealing with complex, evolving geometric structures. The proposed method provides a foundation for advanced optimization techniques in various scientific and engineering domains.

DOI: 10.5281/zenodo.22188590

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