Unified framework for open quantum dynamics with memory

The dynamics of quantum systems coupled to baths are typically studied using the Nakajima-Zwanzig memory kernel ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>K</mml:mi></mml:math> ) or the influence functions (I), particularly when memory effects are present. Despite their significance, formal connections between the two have not been explicitly known. We establish their connections by examining the system propagator for a N-level system linearly coupled to Gaussian baths with various types of system-bath coupling. For a certain class of problems, we devised a non-perturbative, diagrammatic approach to construct <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>K</mml:mi></mml:math> from I for (driven) systems interacting with Gaussian baths, bypassing conventional projection-free dynamics inputs. Our work provides a way to interpret approximate path integral methods in terms of approximate memory kernels. Moreover, it offers a Hamiltonian learning procedure to extract the bath spectral density from reduced system trajectories, opening new avenues in quantum sensing and engineering. The insights we provide advance our understanding of non-Markovian dynamics and will serve as a stepping stone for future theoretical and experimental developments in this area.

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Publication Details

Journal
Nature Communications
Published
2024-09-15
DOI
https://doi.org/10.1038/s41467-024-52081-3
Citations
13
Primary Topic
Spectroscopy and Quantum Chemical Studies
Type
article
Field-Weighted Citation Impact
4.39

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article

Unified framework for open quantum dynamics with memory

Lachlan P. Lindoy, Felix Ivander, Joonho Lee
13 citations
Nature Communications
Spectroscopy and Quantum Chemical Studies
4.39
article

Unified framework for open quantum dynamics with memory

Lachlan P. Lindoy, Felix Ivander, Joonho Lee
article en
13 citations

Abstract

The dynamics of quantum systems coupled to baths are typically studied using the Nakajima-Zwanzig memory kernel ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>K</mml:mi></mml:math> ) or the influence functions (I), particularly when memory effects are present. Despite their significance, formal connections between the two have not been explicitly known. We establish their connections by examining the system propagator for a N-level system linearly coupled to Gaussian baths with various types of system-bath coupling. For a certain class of problems, we devised a non-perturbative, diagrammatic approach to construct <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>K</mml:mi></mml:math> from I for (driven) systems interacting with Gaussian baths, bypassing conventional projection-free dynamics inputs. Our work provides a way to interpret approximate path integral methods in terms of approximate memory kernels. Moreover, it offers a Hamiltonian learning procedure to extract the bath spectral density from reduced system trajectories, opening new avenues in quantum sensing and engineering. The insights we provide advance our understanding of non-Markovian dynamics and will serve as a stepping stone for future theoretical and experimental developments in this area.

Nature CommunicationsVol. 15(1)
Google (United States) (US), National Physical Laboratory (GB), Harvard University (US), Harvard University Press (US)
National Science Foundation, Harvard University, Engineering and Physical Sciences Research Council, Office of Advanced Cyberinfrastructure, Division of Chemistry, FAS Division of Science, Harvard University
Openalex Percentile: Top 5%
Spectroscopy and Quantum Chemical Studies
4.39
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Unified framework for open quantum dynamics with memory — Lachlan P. Lindoy, Felix Ivander, et al. · Nature Communications (2024) | TGRS Research Map | TGRS