自适应量子计算的拓扑拓扑调整算法

Jincheng Zhang

Published Aug 29, 2026• 0 citations

Abstract

Quantum computing offers unparalleled computational power, but achieving optimal performance often requires sophisticated control and optimization strategies. This paper introduces a novel self-adaptive quantum computation algorithm, termed "拓扑拓扑调整算法", designed to dynamically adjust the quantum system's topology, thereby optimizing computational performance. The algorithm leverages quantum state dynamics to iteratively refine the system's structure, offering a significant advancement over static approaches. We detail the core mechanism, including the implementation of a self-tuning topology optimization process, and provide a preliminary analysis of its effectiveness in a specific computational task. The paper concludes with a discussion of the potential impact and future directions of this approach.

DOI: 10.5281/zenodo.22157655

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