基于动态系统模型的量子动力学模拟

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

This paper investigates the application of dynamic system models to quantum dynamics simulation, aiming to enhance the accuracy of quantum information processing. We propose a novel approach that constructs a dynamic system model leveraging quantum computing's inherent parallelism to achieve precise simulations. Traditional quantum simulation methods often suffer from inaccuracies due to the discrete nature of their representation, limiting their ability to fully assess the performance of quantum information handling. This work introduces a framework that incorporates dynamic evolution and quantum properties, resulting in a more robust and accurate simulation technique. The core mechanism centers on building a quantum system dynamic model, utilizing parallel quantum computation for precise simulation, and integrating quantum properties to improve simulation fidelity. We present a methodology for constructing this dynamic system model, emphasizing the importance of parallel processing in enhancing the simulation process. The resulting simulations demonstrate improved accuracy and a better understanding of quantum information processing.

DOI: 10.5281/zenodo.22503529

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