Exact treatment of the memory kernel under time-dependent system-environment coupling via a train of delta distributions

Memory effects in a quantum system coupled to an environment are one of the central features in the theory of open quantum systems. The dynamics of such quantum systems are typically governed by an equation of motion with a time-convolution integral of the memory kernel. However, solving such integro-differential equations is challenging, especially when the memory kernel is nonstationary (not time-translation invariant). In this paper, we analytically and nonperturbatively solve such integro-differential equations with a nonstationary memory kernel by employing a train of Dirac-delta switchings. We then apply this method to the damped Jaynes-Cummings model and the damped harmonic oscillator model to demonstrate that (i) our solution asymptotes to the well-known exact solution in the continuum limit, and that (ii) our method also enables us to visualize the memory effect in the environment.

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Publication Details

Journal
Physical review. A/Physical review, A
Published
2026-01-05
DOI
https://doi.org/10.1103/t9wh-k9pz
Primary Topic
Nonlinear Photonic Systems
Type
article
Field-Weighted Citation Impact
0.00

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article

Exact treatment of the memory kernel under time-dependent system-environment coupling via a train of delta distributions

Takano Taira, Kensuke Gallock‐Yoshimura, Yuta Uenaga
Physical review. A/Physical review, A
Nonlinear Photonic Systems
article

Exact treatment of the memory kernel under time-dependent system-environment coupling via a train of delta distributions

Takano Taira, Kensuke Gallock‐Yoshimura, Yuta Uenaga
article en

Abstract

Memory effects in a quantum system coupled to an environment are one of the central features in the theory of open quantum systems. The dynamics of such quantum systems are typically governed by an equation of motion with a time-convolution integral of the memory kernel. However, solving such integro-differential equations is challenging, especially when the memory kernel is nonstationary (not time-translation invariant). In this paper, we analytically and nonperturbatively solve such integro-differential equations with a nonstationary memory kernel by employing a train of Dirac-delta switchings. We then apply this method to the damped Jaynes-Cummings model and the damped harmonic oscillator model to demonstrate that (i) our solution asymptotes to the well-known exact solution in the continuum limit, and that (ii) our method also enables us to visualize the memory effect in the environment.

Physical review. A/Physical review, AVol. 113(1)
Kyushu University (JP), The University of Tokyo (JP)
Japan Society for the Promotion of Science
Openalex Percentile: Top 99%
Nonlinear Photonic Systems
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