Variational Approach to Non-Markovian Dynamics and Two-Time Correlations Using Pseudomodes

IF 4.3 Q1 OPTICS
Yiying Yan, Yang Zhao
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Abstract

Markovian pseudomode models are shown to accurately describe non-Markovian and non-perturbative reduced dynamics and multi-time correlation functions under certain constraints. However, it is challenging to solve the Lindblad master equation for such models when a number of pseudomodes are involved. A variational approach based on multiple Davydov D 2 ${\rm D}_2$ states is used to solve the master equation of pseudomode models for the multi-mode Jaynes–Cummings (JC) model, and the spin-boson system across four distinct configurations, enabling computation of the two-time correlation function that incorporates bath phonon occupation dynamics. In parallel, calculations of the unitary evolution of full Hamiltonians are chosen as benchmark references. Benchmark comparisons demonstrate that the variational approach for Markovian pseudomode models successfully predicts both the single-time and two-time expectations within the multi-mode JC model. In contrast, in the spin-boson model, the variational simulations for the pseudomode system and the full Hamiltonian yield inconsistent bath occupation numbers in a non-perturbative strong coupling regime despite that these two kinds of simulations predict almost identical reduced dynamics, resulting from a fitting artefact in the pseudomode model. Our findings offer insights into the applicability of the non-unitary variational approach on the simulation of two-time correlation functions within the pseudomode framework.

非马尔可夫动力学的变分方法及使用伪模态的两时间相关
在一定的约束条件下,马尔可夫伪模模型可以准确地描述非马尔可夫和非摄动的约简动力学和多时间相关函数。然而,当涉及多个伪模时,求解此类模型的Lindblad主方程具有挑战性。采用基于多个Davydov d2 ${\rm D}_2$状态的变分方法,求解了多模jines - cummings (JC)模型和四种不同构型的自旋玻色子系统的伪模模型主方程,实现了包含槽声子占据动力学的双时间相关函数的计算。同时,选择全哈密顿量的幺正演化计算作为基准参考。基准比较表明,马尔可夫伪模模型的变分方法成功地预测了多模JC模型中的单时间和双时间期望。相比之下,在自旋玻色子模型中,伪模系统的变分模拟和全哈密顿量的变分模拟在非微扰强耦合状态下产生了不一致的槽位占用数,尽管这两种模拟预测了几乎相同的减少动力学,这是由于伪模模型中的拟合伪相造成的。我们的研究结果为在伪模框架内模拟两时间相关函数的非一元变分方法的适用性提供了见解。
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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CiteScore
7.90
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