2021
DOI: 10.48550/arxiv.2106.05295
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Non-Markovian dynamics under time-translation symmetry

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Cited by 5 publications
(12 citation statements)
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“…Given the complication in non-Markovian control due to memory kernels (see above), the gain of simplification by a Markovian substitute covering the pertinent time-window of the experiment would be most welcome. Compatibility with thermodynamics can add an additional aspect to classify the equations of motion in either the Markovian or non-Markovian case [169], cf. Subsec.…”
Section: Further Characterization Of Markovian and Non-markovian Quan...mentioning
confidence: 99%
See 1 more Smart Citation
“…Given the complication in non-Markovian control due to memory kernels (see above), the gain of simplification by a Markovian substitute covering the pertinent time-window of the experiment would be most welcome. Compatibility with thermodynamics can add an additional aspect to classify the equations of motion in either the Markovian or non-Markovian case [169], cf. Subsec.…”
Section: Further Characterization Of Markovian and Non-markovian Quan...mentioning
confidence: 99%
“…(a) Thermodynamical consistency restricts the structure of the open system control GKLS master equation [20,163,164,169,596]. (b) Certain control task require a change of entropy, such as reset or thermalization [52,56,166,168,227,558,559].…”
Section: Quantum Thermodynamicsmentioning
confidence: 99%
“…, where i = j/2 corresponds to a conjugate pair of eigenopertors. In the weak coupling limit and under Markovian dynamics, these coefficients can be calculated from the Fourier transform of the environment correlation functions with instantaneous frequency ω j (t) (18,19). The dynamical equation leads to ρS (t) (step iii), which allows calculating the control objective.…”
Section: Introductionmentioning
confidence: 99%
“…The four assumptions and associated symmetry are sufficient to set the form of the dynamical generator L t [10,12]. The control dynamical equation is of the Gorini Kossakowski Lindblad Sudarshan (GKLS) form [13,14]…”
Section: Introductionmentioning
confidence: 99%
“…The jump operators come in pairs, which motivates introducing the associated coefficients k j,↑ (t) , k j,↓ (t) for each pair j. In the weak coupling limit and under Markovian dynamics, these coefficients can be calculated from the Fourier transform of the bath correlation function with instantaneous frequency ω j (t) (NAME) [12,17]. The dynamical equation leads to ρS (t) (step 3), which allows calculating the control objective and used to update the control field (step 4).…”
Section: Introductionmentioning
confidence: 99%