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  • Letter

Particle current statistics in driven mesoscale conductors

Marlon Brenes1,*, Giacomo Guarnieri2, Archak Purkayastha3,4, Jens Eisert2, Dvira Segal5,1, and Gabriel Landi6,7

  • 1Department of Physics and Centre for Quantum Information and Quantum Control, University of Toronto, 60 Saint George St., Toronto, Ontario M5S 1A7, Canada
  • 2Dahlem Centre for Complex Quantum Systems, Freie Universität Berlin, 14195 Berlin, Germany
  • 3School of Physics, Trinity College Dublin, College Green, Dublin 2, Ireland
  • 4Centre for Complex Quantum Systems, Department of Physics and Astronomy, Aarhus University, Ny Munkegade 120, DK-8000 Aarhus C, Denmark
  • 5Department of Chemistry, University of Toronto, 80 Saint George St., Toronto, Ontario M5S 3H6, Canada
  • 6Instituto de Física da Universidade de São Paulo, 05314-970 São Paulo, Brazil
  • 7Department of Physics and Astronomy, University of Rochester, Rochester, New York 14627, USA

  • *marlon.brenes@utoronto.ca

Phys. Rev. B 108, L081119 – Published 22 August, 2023

DOI: https://doi.org/10.1103/PhysRevB.108.L081119

Abstract

We propose a highly scalable method to compute the statistics of charge transfer in driven conductors. The framework can be applied in situations of nonzero temperature, strong coupling to terminals, and in the presence of nonperiodic light-matter interactions, away from equilibrium. The approach combines the so-called mesoscopic leads formalism with full counting statistics. It results in a generalized quantum master equation that dictates the dynamics of current fluctuations and higher order moments of the probability distribution function of charge exchange. For generic time-dependent quadratic Hamiltonians, we provide closed-form expressions for computing noise in the nonperturbative regime of the parameters of the system, reservoir, or system-reservoir interactions. Having access to the full dynamics of the current and its noise, the method allows us to compute the variance of charge transfer over time in nonequilibrium configurations. The dynamics reveal that in driven systems, the average noise should be defined operationally with care over which period of time is covered.

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