基于自适应量子势场的非线性计算方法

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

This paper explores a novel approach to quantum computing utilizing a dynamically adjusted quantum potential field. Traditional quantum algorithms often suffer from computational bottlenecks, limiting their scalability. This work introduces a "dynamic quantum potential field" concept, employing iterative adjustments to the field to optimize the computation. We present a theoretical framework and initial implementation demonstrating significant improvements in efficiency and potential for quantum algorithm optimization. This method moves beyond static approaches by actively shaping the quantum environment, offering a new pathway to enhance quantum processing capabilities. The paper details the core mechanism, analyzes its potential impact, and concludes with a discussion of future research directions.

DOI: 10.5281/zenodo.22489264

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