基于自适应拓扑的量子系统优化算法

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper presents a novel quantum system optimization algorithm based on adaptive topology. Traditional optimization methods often rely on static approaches, offering limited flexibility for complex quantum systems. This work introduces a dynamic adjustment mechanism, leveraging adaptive topology to optimize quantum system parameters and enhance overall performance. The core principle lies in constructing a flexible, self-configuring topology that adapts to the system's state, enabling efficient parameter tuning and improved quantum computation. We demonstrate the effectiveness of this algorithm through simulations and provide a theoretical analysis of its capabilities. The potential impact of this approach on quantum computing is significant, offering a pathway to more efficient and robust quantum systems.

DOI: 10.5281/zenodo.22186113

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