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The transfer tensor method: An analytical study case
Marcel Morillas-Rozas1, Alberto López-García1, Gonzalo Reina Rivero1
1Research Group of Quantum Technologies, Universidad Politécnica de Cartagena Member of European University of Technology EUT+, Cartagena E-30202, Spain.
The transfer tensor method (TTM) precisely models open quantum systems, but its memory kernel differs from exact transfer tensors (TTs) at finite time steps. This deviation can lead to apparent Markovian behavior in non-Markovian systems depending on TTM
Area of Science:
- Quantum mechanics
- Quantum information theory
- Open quantum systems
Background:
- The transfer tensor method (TTM) is a powerful tool for analyzing non-Markovian quantum systems.
- TTM captures memory effects through dynamical maps and transfer tensors (TTs).
- The Nakajima-Zwanzig equation is a common approach for modeling open quantum systems.
Purpose of the Study:
- To investigate the deviation between the Nakajima-Zwanzig memory kernel and exact transfer tensors in the TTM.
- To analyze the impact of time discretization on the accuracy of the TTM.
- To explore the conditions under which non-Markovian dynamics can appear Markovian within the TTM framework.
Main Methods:
- Derivation of exact expressions for the dynamical map, TTs, and memory kernel.
- Analysis of an analytically solvable model: a two-level atom coupled to a lossy cavity (Jaynes-Cummings limit).
- Examination of atomic dynamics in coherence and population difference subspaces.
Main Results:
- The memory kernel of the Nakajima-Zwanzig equation deviates from exact TTs for finite time discretizations.
- Both methods converge in the continuous-time limit.
- Regions of enhanced non-Markovianity were identified where TTM time-step choices can induce apparent Markovian dynamics.
Conclusions:
- The choice of time step in the TTM is crucial for accurately representing non-Markovian dynamics.
- Deviations between the Nakajima-Zwanzig kernel and TTs highlight the importance of careful discretization.
- The study provides insights into controlling the apparent Markovianity of open quantum systems using the TTM.
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