基于拓扑的量子算法优化 (TS-OA)

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper presents a novel quantum algorithm optimization framework, termed "基于拓扑的量子算法优化 (TS-OA)," which leverages topological structure optimization to enhance the performance of quantum algorithms. Traditional quantum algorithm optimization methods often rely on manual parameter design, which is a complex and time-consuming process. TS-OA employs a unique approach by dynamically constructing and optimizing quantum circuits based on topological properties, leading to improved efficiency and accuracy compared to existing methods. We investigate the theoretical and practical aspects of this approach, including the mathematical formulation of the optimization process and a preliminary analysis of its effectiveness. This work demonstrates the potential of TS-OA to significantly simplify and accelerate the optimization of complex quantum algorithms.

DOI: 10.5281/zenodo.22185779

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