English

Particle current statistics in driven mesoscale conductors

Quantum Physics 2023-08-24 v2 Mesoscale and Nanoscale Physics Statistical Mechanics

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 non-zero temperature, strong coupling to terminals and in the presence of non-periodic light-matter interactions, away from equilibrium. The approach combines the so-called mesoscopic leads formalism with full counting statistics. It results in a generalised 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 non-perturbative 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 non-equilibrium configurations. The dynamics reveal that in driven systems, the average noise should be defined operationally with care over which period of time is covered.

Keywords

Cite

@article{arxiv.2211.13832,
  title  = {Particle current statistics in driven mesoscale conductors},
  author = {Marlon Brenes and Giacomo Guarnieri and Archak Purkayastha and Jens Eisert and Dvira Segal and Gabriel Landi},
  journal= {arXiv preprint arXiv:2211.13832},
  year   = {2023}
}

Comments

Journal version

R2 v1 2026-06-28T07:12:10.163Z