4.6 Article

Quench dynamics in superconducting nanojunctions: Metastability and dynamical Yang-Lee zeros

期刊

PHYSICAL REVIEW B
卷 96, 期 16, 页码 -

出版社

AMER PHYSICAL SOC
DOI: 10.1103/PhysRevB.96.165444

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资金

  1. Spanish MINECO [FIS2014-55486-P]
  2. Maria de Maeztu Programme for Units of Excellence in RD [MDM-2014-0377]
  3. Spanish Supercomputing Network (RES) for providing access to the supercomputer Altamira at the Institute of Physics of Cantabria (IFCA-CSIC)

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We study the charge transfer dynamics following the formation of a phase or voltage biased superconducting nanojunction using a full counting statistics analysis. We demonstrate that the evolution of the zeros of the generating function allows one to identify the population of different many body states much in the same way as the accumulation of Yang-Lee zeros of the partition function in equilibrium statistical mechanics is connected to phase transitions. We give an exact expression connecting the dynamical zeros to the charge transfer cumulants and discuss when an approximation based on 'dominant'zeros is valid. We show that, for generic values of the parameters, the system gets trapped into a metastable state characterized by a nonequilibrium population of the many body states which is dependent on the initial conditions. We study in particular the effect of the switching rates in the dynamics showing that, in contrast to intuition, the deviation from thermal equilibrium increases for the slower rates. In the voltage biased case the steady state is reached independent of the initial conditions. Our method allows us to obtain accurate results for the steady state current and noise in quantitative agreement with steady state methods developed to describe the multiple Andreev reflections regime. Finally, we discuss the system dynamics after a sudden voltage drop showing the possibility of tuning the many body states population by an appropriate choice of the initial voltage, providing a feasible experimental way to access the quench dynamics and control the state of the system.

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