2016
DOI: 10.1038/srep27989
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Thermodynamic power of non-Markovianity

Abstract: The natural framework to discuss thermodynamics at the quantum level is the theory of open quantum systems. Memory effects arising from strong system-environment correlations may lead to information back-flow, that is non-Markovian behaviour. The relation between non-Markovianity and quantum thermodynamics has been until now largely unexplored. Here we show by means of Landauer’s principle that memory effects control the amount of work extraction by erasure in presence of realistic environments.

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Cited by 121 publications
(138 citation statements)
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“…However, based on the ML-QSL, the quantum evolution is accelerated not only in the non-Markovian regime but also in the Markovian regime. The memory effects (non-Markovianity) for the dephasing model associated with the quantum channel capacity Q(Φ) can be defined by [39,41] …”
Section: Discussionmentioning
confidence: 99%
“…However, based on the ML-QSL, the quantum evolution is accelerated not only in the non-Markovian regime but also in the Markovian regime. The memory effects (non-Markovianity) for the dephasing model associated with the quantum channel capacity Q(Φ) can be defined by [39,41] …”
Section: Discussionmentioning
confidence: 99%
“…* Corresponding author: rebecca.schmidt@aalto.fi Also, a theoretical framework has been developed based on the concept of a nonequilibrium subsystem, where some of the degrees of freedom of the reservoir are driven out of equilibrium by the system-bath correlations, leading to extra entropy production terms [20]. However, entropy alone does not constitute a good measure of information exchange [31]. Therefore, proper information-theoretic tools and their relation to heat exchange should be examined.…”
Section: Introductionmentioning
confidence: 99%
“…38. Broadly speaking these measures can be categorised into those that look at properties of the dynamical maps that induce the time evolution of the system; [39][40][41][42][43] monotonicity of distance measures between two time-evolved trajectories of the system; [44][45][46][47] and properties quantifying the correlations between the system of interest and an ancillary system. 40, [48][49][50] Other measures are based upon the sign of decay rates of a Lindblad master equation in its canonical form 51 and properties of the affine transform induced by the dynamical map.…”
Section: Introductionmentioning
confidence: 99%