自适应量子自适应拓扑的优化算法

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper introduces a novel optimization algorithm based on adaptive quantum self-adaptative topology (ASAT). The algorithm leverages the inherent properties of ASAT to dynamically adjust quantum system parameters during optimization, leading to significant improvements in quantum computation efficiency. The core mechanism centers around a self-organizing topology that evolves with the system's state, enabling the algorithm to find optimal parameter values more effectively than traditional methods. We present a detailed theoretical analysis and preliminary experimental validation demonstrating the superiority of ASAT over existing optimization techniques, particularly in the context of quantum state design and algorithm execution. The algorithm's adaptability and potential for high-efficiency quantum computation make it a promising approach to advancing the field.

DOI: 10.5281/zenodo.22184319

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