# Probability representation of quantum dynamics using pseudostochastic maps

## TL;DR

This paper develops a probability-based framework for quantum dynamics using pseudostochastic maps and SIC-POVMs, enabling direct experimental access and classical simulation of quantum processes, including nonclassicality and non-Markovianity measures.

## Contribution

It introduces a SIC-POVM probability representation for quantum dynamics, linking quantum evolution to classical stochastic processes and providing tools to measure nonclassicality and non-Markovianity.

## Key findings

- SIC-POVM probability representations for unitary and dissipative quantum evolution
- Conditions for classical simulation of quantum dynamics via pseudostochastic maps
- Application of measures to experimental quantum circuits on IBM quantum processor

## Abstract

In this work, we consider a probability representation of quantum dynamics for finite-dimensional quantum systems with the use of pseudostochastic maps acting on true probability distributions. These probability distributions are obtained via symmetric informationally complete positive operator-valued measure (SIC-POVM) and can be directly accessible in an experiment. We provide SIC-POVM probability representations both for unitary evolution of the density matrix governed by the von Neumann equation and dissipative evolution governed by Markovian master equation. In particular, we discuss whereas the quantum dynamics can be simulated via classical random processes in terms of the conditions for the master equation generator in the SIC-POVM probability representation. We construct practical measures of nonclassicality non-Markovianity of quantum processes and apply them for studying experimental realization of quantum circuits realized with the IBM cloud quantum processor.