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Joint statistics of work and entropy production along quantum trajectories.
Miller, Harry J D; Mohammady, M Hamed; Perarnau-Llobet, Martí; Guarnieri, Giacomo.
Afiliación
  • Miller HJD; Department of Physics and Astronomy, The University of Manchester, Manchester M13 9PL, United Kingdom.
  • Mohammady MH; RCQI, Institute of Physics, Slovak Academy of Sciences, Bratislava 84511, Slovakia.
  • Perarnau-Llobet M; Département de Physique Appliquée, Université de Genève, Genève, Switzerland.
  • Guarnieri G; School of Physics, Trinity College Dublin, College Green, Dublin 2, Ireland.
Phys Rev E ; 103(5-1): 052138, 2021 May.
Article en En | MEDLINE | ID: mdl-34134351
ABSTRACT
In thermodynamics, entropy production and work quantify irreversibility and the consumption of useful energy, respectively, when a system is driven out of equilibrium. For quantum systems, these quantities can be identified at the stochastic level by unravelling the system's evolution in terms of quantum jump trajectories. We here derive a general formula for computing the joint statistics of work and entropy production in Markovian driven quantum systems, whose instantaneous steady states are of Gibbs form. If the driven system remains close to the instantaneous Gibbs state at all times, then we show that the corresponding two-variable cumulant generating function implies a joint detailed fluctuation theorem so long as detailed balance is satisfied. As a corollary, we derive a modified fluctuation-dissipation relation (FDR) for the entropy production alone, applicable to transitions between arbitrary steady states, and for systems that violate detailed balance. This FDR contains a term arising from genuinely quantum fluctuations, and extends an analogous relation from classical thermodynamics to the quantum regime.

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Phys Rev E Año: 2021 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Phys Rev E Año: 2021 Tipo del documento: Article País de afiliación: Reino Unido