基于动态量子态的量子算法优化器

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

This paper investigates the application of dynamic quantum state manipulation to quantum algorithm optimization. Traditional quantum algorithm optimization often relies on pre-defined parameter settings, limiting the potential for improved performance and efficiency. We propose a novel approach utilizing the inherent dynamics of quantum states to dynamically adjust quantum algorithm parameters, thereby enhancing both algorithm accuracy and operational efficiency. The core mechanism involves leveraging quantum state evolution to optimize the quantum circuit's parameters, resulting in a significant advancement in quantum computing capabilities. This work explores the potential of this method to unlock new frontiers in quantum algorithm design and implementation.

DOI: 10.5281/zenodo.22292264

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