自适应量子态生成算法

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper presents a novel quantum state generation algorithm designed to enhance the performance of quantum computation. Traditional quantum state generation methods often rely on static parameters, limiting the algorithm's adaptability and potential for optimization. This work introduces a dynamic parameter adjustment mechanism that iteratively refines the quantum state's characteristics based on observed evolution, achieving a significant improvement in quantum fidelity and computational throughput. The algorithm's core mechanism utilizes a feedback loop that continuously analyzes the state's trajectory and adjusts its parameters to minimize errors and maximize coherence. We demonstrate the algorithm's effectiveness through simulations and preliminary experimental results, showcasing its ability to surpass the capabilities of existing state generation techniques. The paper concludes by outlining the algorithm's architecture, key implementation details, and potential applications in quantum computing.

DOI: 10.5281/zenodo.22184041

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