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Quantum Geometry Optimization Algorithm

Jincheng Zhang

Published Sep 3, 2026• 0 citations
Publisher

Abstract

Quantum Geometry Optimization Algorithm (QGOA) is a novel optimization algorithm designed to automatically optimize the geometric structure of quantum systems, thereby enhancing their performance. This paper details the core concepts, mechanism, and potential benefits of QGOA, emphasizing its approach to directly manipulating the system's geometry to achieve superior results. Traditional optimization methods often focus on adjusting individual parameters, while QGOA leverages the inherent topological properties of quantum systems to guide the optimization process. This research explores a unique framework utilizing topological transformations to achieve enhanced performance. The paper concludes with a discussion of the algorithm's potential applications and future directions.

DOI
10.5281/zenodo.22278523

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