基于自适应量子环境的量子模拟算法

Jincheng Zhang

Published Sep 2, 2026• 0 citations

Abstract

This paper presents a novel quantum simulation algorithm based on adaptive quantum environments. Traditional quantum simulations often rely on static, pre-defined quantum environments, limiting their precision and efficiency. Our algorithm dynamically adjusts the quantum environment to match the system's evolving state, offering a significant improvement in simulation accuracy and speed. We detail the core mechanism, including the design of a feedback loop that monitors the system's state and adjusts the environmental parameters. We demonstrate the algorithm's effectiveness through a series of simulations focusing on a specific quantum system, showcasing its ability to achieve higher fidelity and faster computation compared to existing methods. The paper concludes with a discussion of the theoretical advantages and potential applications of this approach.

DOI: 10.5281/zenodo.22245662

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