基于自适应拓扑的基于量子几何的优化算法

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

This paper proposes a novel optimization algorithm based on self-adaptive topology and quantum geometry, leveraging the unique properties of quantum computation to rigorously validate the complexity of quantum systems. Traditional quantum computing verification relies heavily on classical methods, offering limitations in exploring intricate quantum behavior. Our proposed framework utilizes quantum geometry to identify and analyze potential topological defects, enabling a more robust and efficient verification process. We demonstrate the effectiveness of this approach through a series of simulations and analysis, showcasing its potential to significantly improve the reliability of quantum algorithms.

DOI: 10.5281/zenodo.22291442

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