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Abstract
Understanding system-environment correlations in open quantum systems is vital for various quantum information and technology applications. However, these correlations are often overlooked or hidden in derivations of open-quantum-system master equations, especially when applying the Born approximation. To address this issue, given a microscopic model, we demonstrate how to retain system-environment correlation within commonly used master equations, such as the Markovian Lindblad, Redfield, second-order time convolutionless, second-order Nakajima-Zwanzig, and second-order universal Lindblad-like equations. We show that each master equation corresponds to a particular approximation on the system-environment correlation operator. In particular, our analysis exposes the form of the hidden system-environment correlation in the Markovian Lindblad equation derived using the Born approximation. We also identify that the processes leading to the Redfield equation yield an inaccurate initial-time system-environment correlation approximation. By fixing this problem, we propose a corrected Redfield equation with an improved prediction for early stages of the time evolution. We further illustrate our results in two examples, which imply that the second-order universal Lindblad-like equation captures correlation more accurately than the other standard master equations.
Original language | English |
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Article number | 013243 |
Pages (from-to) | 1-14 |
Number of pages | 14 |
Journal | Physical Review Research |
Volume | 6 |
Issue number | 1 |
DOIs | |
Publication status | Published - Jan 2024 |
MoE publication type | A1 Journal article-refereed |
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Dive into the research topics of 'Unfolding system-environment correlation in open quantum systems : Revisiting master equations and the Born approximation'. Together they form a unique fingerprint.Projects
- 1 Finished
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Finnish Centre of Excellence in Quantum Technology
Ala-Nissilä, T. (Principal investigator)
01/01/2018 → 31/12/2020
Project: Academy of Finland: Other research funding