Entanglement statistics in Markovian open quantum systems: a matter of mutation and selection

TL;DR

This paper introduces a unified population-dynamics framework for efficiently analyzing the full probability distribution of time-integrated observables in Markovian open quantum systems, revealing phase transitions and entanglement fluctuations.

Contribution

It develops a novel algorithm based on population dynamics for sampling quantum trajectories, enabling access to quantum features like superposition and entanglement in fluctuation statistics.

Findings

Revealed phase transitions in quantum trajectory space.

Discovered coexistence and hysteresis between entangled and low-entangled phases.

Provided a method to evaluate dynamical free-energy and entropy functionals.

Abstract

Controlling dynamical fluctuations in open quantum systems is essential both for our comprehension of quantum nonequilibrium behaviour and for its possible application in near-term quantum technologies. However, understanding these fluctuations is extremely challenging due, to a large extent, to a lack of efficient important sampling methods for quantum systems. Here, we devise a unified framework --based on population-dynamics methods-- for the evaluation of the full probability distribution of generic time-integrated observables in Markovian quantum jump processes. These include quantities carrying information about genuine quantum features, such as quantum superposition or entanglement, not accessible with existing numerical techniques. The algorithm we propose provides dynamical free-energy and entropy functionals which, akin to their equilibrium counterpart, permit to unveil intriguing phase-transition behaviour in quantum trajectories. We discuss some applications and further disclose coexistence and hysteresis, between a highly entangled phase and a low entangled one, in large fluctuations of a strongly interacting few-body system.