基于动态自适应的自适应量子算法

Jincheng Zhang

Published Aug 29, 2026• 0 citations

Abstract

This paper presents a novel quantum algorithm, termed "Dynamic Adaptive Quantum Algorithm" (DAQA), designed to enhance the computational efficiency of quantum computations through dynamic adjustment of qubit arrangements and entanglement. The core innovation lies in leveraging the inherent properties of quantum mechanics – specifically, qubit coherence and entanglement – to implement a self-optimizing process. We detail the algorithm's architecture, the underlying mathematical principles, and the key implementation steps, demonstrating its potential to overcome limitations of traditional quantum algorithms. The paper explores the benefits of dynamic adjustment, including improved error mitigation, enhanced expressibility, and the ability to tackle complex problems previously intractable for standard quantum approaches. We provide a preliminary assessment of the algorithm's performance and discuss future research directions.

DOI: 10.5281/zenodo.22157350

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