Efficient measure of information backflow with a quasistochastic process

TL;DR

This paper introduces a new, efficient, state-independent measure of information backflow in quantum systems using quasiprobability representation, simplifying analysis of non-Markovian dynamics.

Contribution

It proposes an alternative, explicit state-independent witness and measure of information backflow based on quasiprobabilities, reducing computational complexity.

Findings

Consistent Markovian conditions with known results

Reported necessary and sufficient conditions for qutrit systems

Demonstrated effectiveness over several paradigmatic examples

Abstract

Characterization and quantification of non-Markovian dynamics in open quantum systems are topical issues in the rapidly developing field of quantum computation and quantum communication. A standard approach based on the notion of information backflow detects the flow of information from the environment back to the system. Numerous measures of information backflow have been proposed using different definitions of distinguishability between pairs of quantum states. These measures, however, necessitate optimization over the state space, which can be analytically challenging or numerically demanding. Here we propose an alternative witness and measure of information backflow that is explicitly state independent by utilizing the concept of quasiprobability representation and recent advances in the theory of majorization for quasiprobabilities. We illustrate its use over several paradigmatic examples, demonstrating consistent Markovian conditions with known results and also reported necessary and sufficient conditions for the qutrit system in a random unitary channel. The paper concludes with a discussion of the foundational implications of quantum dynamical evolution.