Witnessing non-Markovianity by Quantum Quasi-Probability Distributions

TL;DR

This paper introduces a method to witness non-Markovianity in quantum systems using quasi-probability distributions derived from quantum states, providing a practical approach especially for high entropy and Gaussian states.

Contribution

It develops a non-Markovianity witness based on Kolmogorov distances between quasi-probability distributions, linking quantum state distinguishability to classical probability metrics.

Findings

The Kolmogorov distance bounds the trace distance between quantum states.

The proposed witness is effective for high entropy states.

A non-Gaussianity measure for Gaussian dynamics is introduced.

Abstract

We employ frames consisting of rank-one projectors (i.e. pure quantum states) and their induced informationally complete quantum measurements (IC-POVMs) to represent generally mixed quantum states by quasi-probability distributions. In the case of discrete frames on finite dimensional systems this results in a vector like representation by quasi-probability vectors, while for the continuous frame of coherent states in continuous variable (CV) systems the approach directly leads to the celebrated representation by Glauber-Sudarshan P-functions and Husimi Q-functions. We explain that the Kolmogorov distances between these quasi-probability distributions lead to upper and lower bounds of the trace distance which measures the distinguishability of quantum states. We apply these results to the dynamics of open quantum systems and construct a non-Markovianity witness based on the Kolmogorov distance of the P- and Q-functions. By means of several examples we discuss the performance of this witness and demonstrate that it is useful in the regime of high entropy states for which a direct evaluation of the trace distance is typically very demanding. For Gaussian dynamics in CV systems we even find a suitable non-Markovianity measure based on the Kolmogorov distance between the P-functions which can alternatively be used as a witness for non-Gaussianity.