# Implications of non-Markovian dynamics on information-driven engine

## TL;DR

This paper investigates how non-Markovian memory effects influence the performance of quantum thermal engines, showing that information backflow can enhance work extraction and measurement outcomes in short times.

## Contribution

It introduces two methods to realize non-Markovian dynamics in quantum engines and analyzes their impact on engine efficiency and information gain.

## Key findings

- Non-Markovian effects can improve work extraction in quantum engines.
- Memory effects enhance information gain during short-time measurements.
- Additional environment interactions induce beneficial non-Markovian dynamics.

## Abstract

The understanding of memory effects arising from the interaction between system and environment is a key for engineering quantum thermodynamic devices beyond the standard Markovian limit. We study the performance of measurement-based thermal machine whose working medium dynamics is subject to backflow of information from the reservoir via collision based model. In this study, the non-Markovian effect is introduced by allowing for additional unitary interactions between the environments. We present two strategies of realizing non-Markovian dynamics and study their influence on the performance of the engine. Moreover, the role of system-environment memory effects on the engine work extraction and information gain through measurement can be beneficial in short time.