Dynamic Topology Quantum Algorithm Optimization

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

This paper explores the application of dynamic topology to quantum algorithm optimization, aiming to enhance both efficiency and accuracy. Traditional quantum algorithm optimization often relies on static approaches, struggling to effectively adapt to dynamic changes. We propose a novel method utilizing dynamic topology to dynamically adjust the quantum algorithm's structure, thereby significantly improving its performance. This involves iteratively modifying the topology of a quantum system to achieve optimal results. The paper details the proposed algorithm, its implementation, and preliminary results demonstrating substantial improvements across a range of quantum algorithms. Furthermore, we discuss the potential benefits and challenges of this approach for future research and development within the field of quantum computing.

DOI: 10.5281/zenodo.22280885

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