| Issue |
EPL
Volume 133, Number 6, March 2021
|
|
|---|---|---|
| Article Number | 60001 | |
| Number of page(s) | 7 | |
| Section | General | |
| DOI | https://doi.org/10.1209/0295-5075/133/60001 | |
| Published online | 24 May 2021 | |
Collision models in open system dynamics: A versatile tool for deeper insights?
1 School of Physics, University College Dublin - Belfield, Dublin 4, Ireland
2 Centre for Quantum Engineering, Science, and Technology, University College Dublin - Belfield, Dublin 4, Ireland
3 Dipartimento di Fisica “Aldo Pontremoli, Università degli Studi di Milano - via Celoria 16, 20133 Milan, Italy
4 Istituto Nazionale di Fisica Nucleare, Sezione di Milano - via Celoria 16, 20133 Milan, Italy
Received: 10 February 2021
Accepted: 2 March 2021
Understanding and simulating how a quantum system interacts and exchanges information or energy with its surroundings is a ubiquitous problem, one which must be carefully addressed in order to establish a coherent framework to describe the dynamics and thermodynamics of quantum systems. Significant effort has been invested in developing various methods for tackling this issue and in this Perspective paper we focus on one such technique, namely collision models, which have emerged as a remarkably flexible approach. We discuss their application to understanding non-Markovian dynamics and to studying the thermodynamics of quantum systems, two areas in which collision models have proven to be particularly insightful. Their simple structure endows them with extremely broad applicability which has spurred their recent experimental demonstrations. By focusing on these areas, our aim is to provide a succinct entry point to this remarkable framework.
PACS: 03.65.Yz – Decoherence; open systems; quantum statistical methods / 05.70.Ln – Nonequilibrium and irreversible thermodynamics / 42.50.Lc – Quantum fluctuations, quantum noise, and quantum jumps
© 2021 The author(s)
Published by the EPLA under the terms of the Creative Commons Attribution 4.0 International License (CC-BY). Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.