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arXiv 2411.02409quant-phphysics.chem-ph
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回复“关于《开放量子动力学统一框架》的评论”

Reply to "Comment on "Unified Framework for Open Quantum Dynamics with Memory""

Felix Ivander, Lachlan P. Lindoy, Joonho Lee

AI总结:

本文回应Makri等人对开放量子动力学统一框架的批评,澄清离散时间记忆核与影响函数的关系,并指出未发现GQME离散化问题,同时确认对相关SMatPI工作的引用。

摘要:

我们回应了Makri等人[arXiv:2410.08239]的评论文章,该评论对我们的工作[Nat. Commun. 15, 8087 (2024)]提出了批评。在我们的论文中,我们考虑了开放量子系统动力学的各种设置,包括非对易、非对角化的系统-浴耦合,以及玻色子/自旋/费米子浴。对于这些情况,我们展示了广义量子主方程(GQME)的离散时间记忆核($\mathcal K$)与路径积分的离散时间影响函数($I$)之间的直接且明确的关系。作为这一关系的应用,我们展示了可以在不需要传统方法所需的投影自由动力学输入的情况下构造$\mathcal K$,并且我们还提出了一种量子传感协议,该协议从约化系统动力学中表征浴谱密度。由于评论聚焦于($\mathcal K$)和$I$在一种特定设置(即对易、可对角化的系统-浴耦合与玻色子浴)中的关系,我们在本回复中专注于这一方面。总之,我们未能从Makri 2020年的论文[J. Chem. Theory Comput. 16, 4038 (2020)]中找到明确连接$I$和$\mathcal K$的方程组。此外,尽管我们的分析特定于路径积分和GQME的离散化选择,但我们未发现所使用的GQME离散化存在问题。关于引用的批评,我们在论文中指出,我们已承认了Makri的驱动SMatPI工作以及Wang和Cai的基于树的SMatPI工作,这些工作涉及计算记忆核所需的Dyck路径数量。

英文摘要:

We present our response to the commentary piece by Makri {\it et al.} [arXiv:2410.08239], which raises critiques of our work [Nat. Commun. 15, 8087 (2024)]. In our paper, we considered various settings of open-quantum system dynamics, including non-commuting, non-diagonalizable system-bath coupling, and bosonic/spin/fermionic baths. For these, we showed a direct and explicit relationship between the discrete-time memory kernel ($\mathcal K$) of the generalized quantum master equation (GQME) and the discrete-time influence functions ($I$) of the path integrals. As an application of this, we showed one can construct $\mathcal K$ without projection-free dynamics inputs that conventional methods require, and we also presented a quantum sensing protocol that characterizes the bath spectral density from reduced system dynamics. As the Comment focused on the relationship between ($\mathcal K$) and $I$ in one specific setup (i.e., commuting, diagonalizable system-bath coupling with a bosonic bath), we focus on that aspect in this response. In summary, we could not find a set of equations that explicitly connect $I$ and $\mathcal K$ from Makri's 2020 paper [J. Chem. Theory Comput. 16, 4038 (2020)]. Furthermore, while our analysis is specific to the choice of discretization of path-integral and GQME, we have not found issues with the GQME discretization employed. As per critiques on citations, in our paper, we note that we had acknowledged Makri's driven SMatPI work and Wang and Cai's tree-based SMatPI work for the number of Dyck paths needed for the computation of the memory kernel.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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