Variational Quantum Algorithm for Non-Markovian Quantum Dynamics Using an Ensemble of Ehrenfest Trajectories

IF 4.6 2区 化学 Q2 CHEMISTRY, PHYSICAL
Peter L. Walters, Mohammad U. Sherazi and Fei Wang*, 
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引用次数: 0

Abstract

The simulation of non-Markovian quantum dynamics plays an important role in the understanding of charge and exciton dynamics in the condensed phase environment, yet such a simulation remains computationally expensive on classical computers. In this work, we develop a variational quantum algorithm that is capable of simulating non-Markovian quantum dynamics on quantum computers. The algorithm captures the non-Markovian effect by employing the Ehrenfest trajectories and Monte Carlo sampling of their thermal distribution. We test the algorithm with the spin-boson model on the quantum simulator, and the results match quantitatively with the exact ones. The algorithm naturally fits into the parallel computing platform of the NISQ devices and can be extended to anharmonic system-bath interactions and multistate systems.

基于Ehrenfest轨迹集合的非马尔可夫量子动力学变分量子算法
非马尔可夫量子动力学的模拟对于理解凝聚态环境中的电荷和激子动力学起着重要的作用,但这种模拟在经典计算机上的计算成本仍然很高。在这项工作中,我们开发了一种能够在量子计算机上模拟非马尔可夫量子动力学的变分量子算法。该算法通过采用Ehrenfest轨迹和其热分布的蒙特卡罗采样来捕获非马尔可夫效应。我们在量子模拟器上用自旋玻色子模型对算法进行了测试,结果与实际结果定量吻合。该算法适合于NISQ器件的并行计算平台,可以扩展到非调和系统浴相互作用和多状态系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
The Journal of Physical Chemistry Letters
The Journal of Physical Chemistry Letters CHEMISTRY, PHYSICAL-NANOSCIENCE & NANOTECHNOLOGY
CiteScore
9.60
自引率
7.00%
发文量
1519
审稿时长
1.6 months
期刊介绍: The Journal of Physical Chemistry (JPC) Letters is devoted to reporting new and original experimental and theoretical basic research of interest to physical chemists, biophysical chemists, chemical physicists, physicists, material scientists, and engineers. An important criterion for acceptance is that the paper reports a significant scientific advance and/or physical insight such that rapid publication is essential. Two issues of JPC Letters are published each month.
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