基于自适应矩阵的量子算法设计

Jincheng Zhang

Published Aug 29, 2026• 0 citations

Abstract

This paper explores the application of adaptive matrix techniques to quantum algorithm design, aiming to enhance the performance of existing quantum algorithms through dynamic parameter adjustment. Traditional quantum algorithm design often relies on static parameters, which can limit efficiency and accuracy. This research introduces a novel framework predicated on adaptive matrix adjustments, allowing the algorithm to optimize its performance based on the specific characteristics of the problem being addressed. The core mechanism centers around modifying the matrix parameters during the algorithm execution, effectively mitigating errors and enhancing the algorithm's overall effectiveness. We present a theoretical framework and initial implementation demonstrating the potential benefits of this approach.

DOI: 10.5281/zenodo.22152737

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