基于自组织矩阵的动态量子算法

Jincheng Zhang

Published Sep 1, 2026• 0 citations

Abstract

This paper presents a novel dynamic quantum algorithm framework based on self-organizing matrices. The core idea is to dynamically adjust quantum algorithm parameters through the inherent properties of these matrices, enabling automated optimization and enhanced performance. We detail the framework's architecture, the mechanisms driving parameter adjustments, and the advantages it offers over traditional approaches. The paper explores the potential of this approach to achieve more efficient and scalable quantum computations. The research focuses on the practical implications of this design, emphasizing its ability to adapt to a wider range of quantum systems and problems.

DOI: 10.5281/zenodo.22225605

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