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Autores principales: Takahashi, Hideaki, Borrelli, Raffaele
Formato: Preprint
Publicado: 2024
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Acceso en línea:https://arxiv.org/abs/2412.13793
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author Takahashi, Hideaki
Borrelli, Raffaele
author_facet Takahashi, Hideaki
Borrelli, Raffaele
contents We present a comprehensive theory for a novel method to discretize the spectral density of a bosonic heat bath, as introduced in [H. Takahashi and R. Borrelli, J. Chem. Phys. \textbf{161}, 151101 (2024)]. The approach leverages a low-rank decomposition of the Fourier-transform relation connecting the bath correlation function to its spectral density. By capturing the time, frequency, and temperature dependencies encoded in the spectral density-autocorrelation function relation, our method significantly reduces the degrees of freedom required for simulating open quantum system dynamics. We benchmark our approach against existing methods and demonstrate its efficacy through applications to both simple models and a realistic electron transfer process in biological systems. Additionally, we show that this new approach can be effectively combined with the tensor-train formalism to investigate the quantum dynamics of systems interacting with complex non-Markovian environments. Finally, we provide a perspective on the selection and application of various spectral density discretization techniques.
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publishDate 2024
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spellingShingle Discretization of Structured Bosonic Environments at Finite Temperature by Interpolative Decomposition: Theory and Application
Takahashi, Hideaki
Borrelli, Raffaele
Quantum Physics
Other Condensed Matter
Statistical Mechanics
We present a comprehensive theory for a novel method to discretize the spectral density of a bosonic heat bath, as introduced in [H. Takahashi and R. Borrelli, J. Chem. Phys. \textbf{161}, 151101 (2024)]. The approach leverages a low-rank decomposition of the Fourier-transform relation connecting the bath correlation function to its spectral density. By capturing the time, frequency, and temperature dependencies encoded in the spectral density-autocorrelation function relation, our method significantly reduces the degrees of freedom required for simulating open quantum system dynamics. We benchmark our approach against existing methods and demonstrate its efficacy through applications to both simple models and a realistic electron transfer process in biological systems. Additionally, we show that this new approach can be effectively combined with the tensor-train formalism to investigate the quantum dynamics of systems interacting with complex non-Markovian environments. Finally, we provide a perspective on the selection and application of various spectral density discretization techniques.
title Discretization of Structured Bosonic Environments at Finite Temperature by Interpolative Decomposition: Theory and Application
topic Quantum Physics
Other Condensed Matter
Statistical Mechanics
url https://arxiv.org/abs/2412.13793