基于自适应的量子态生成算法

Jincheng Zhang

Published Aug 29, 2026• 0 citations

Abstract

Quantum computing promises revolutionary computational capabilities, offering solutions to problems currently intractable for classical computers. However, developing practical quantum algorithms requires efficient quantum state generation, a task that often presents significant challenges. This paper introduces a novel quantum state generation algorithm based on adaptive quantum state evolution. We propose a mechanism that dynamically adjusts the quantum state to optimize for specific tasks, enabling the generation of novel quantum states with improved fidelity and efficiency. The core of this approach lies in a novel iterative process that leverages the inherent adaptability of quantum systems. We detail the algorithm's design, implementation, and preliminary experimental results demonstrating its effectiveness in generating complex quantum states. This research contributes to the advancement of quantum computation by offering a new framework for state generation, potentially paving the way for more robust and versatile quantum algorithms.

DOI: 10.5281/zenodo.22157493

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