Thermodynamics of quantum jump trajectories in systems driven by classical fluctuations

TL;DR

This paper applies a thermodynamic framework to analyze quantum jump trajectories in open quantum systems influenced by classical fluctuations, revealing phase transitions and dynamical regimes in photon counting statistics.

Contribution

It extends the thermodynamic approach to systems with complex reservoirs causing stochastic parameter fluctuations, identifying different dynamical phases and transition behaviors.

Findings

Fast modulation limit yields Markovian two-level system thermodynamics.

Slow modulation limit shows first-order transition characteristics.

Thermodynamic potential derivatives indicate phase transition signatures.

Abstract

The large-deviation method can be used to study the measurement trajectories of open quantum systems. For optical arrangements this formalism allows to describe the long time properties of the (non-equilibrium) photon counting statistics in the context of a (equilibrium) thermodynamic approach defined in terms of dynamical phases and transitions between them in the trajectory space [J.P. Garrahan and I. Lesanovsky, Phys. Rev. Lett. 104, 160601 (2010)]. In this paper, we study the thermodynamic approach for fluorescent systems coupled to complex reservoirs that induce stochastic fluctuations in their dynamical parameters. In a fast modulation limit the thermodynamics corresponds to that of a Markovian two-level system. In a slow modulation limit, the thermodynamic properties are equivalent to those of a finite system that in an infinite-size limit is characterized by a first-order transition. The dynamical phases correspond to different intensity regimes, while the size of the system is measured by the transition rate of the bath fluctuations. As a function of a dimensionless intensive variable, the first and second derivative of the thermodynamic potential develop an abrupt change and a narrow peak respectively. Their scaling properties are consistent with a double-Gaussian probability distribution of the associated extensive variable.