基于自适应的量子势的优化算法

Jincheng Zhang

Published Sep 1, 2026• 0 citations

Abstract

This paper presents a novel optimization algorithm based on dynamically adjusted quantum potentials, designed to enhance the performance of quantum computation. Traditional approaches often rely on fixed parameter settings, limiting the potential for optimization. This work introduces a system of adaptive parameters that dynamically adjust the quantum potential, allowing the algorithm to explore a wider range of solutions and ultimately achieve superior results. We detail the algorithm's core mechanism, its implementation, and the resulting improvements in quantum computation efficiency. This research addresses a critical challenge in quantum algorithm design by introducing a flexible and adaptive optimization strategy.

DOI: 10.5281/zenodo.22225705

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