Quantum collision models: Open system dynamics from repeated interactions

F Ciccarello, S Lorenzo, V Giovannetti, GM Palma - Physics Reports, 2022 - Elsevier
We present an extensive introduction to quantum collision models (CMs), also known as
repeated interactions schemes: a class of microscopic system–bath models for investigating …

Quantum engines and refrigerators

LM Cangemi, C Bhadra, A Levy - Physics Reports, 2024 - Elsevier
Engines are systems and devices that convert one form of energy into another, typically into
a more useful form that can perform work. In the classical setup, physical, chemical, and …

Reconciliation of quantum local master equations with thermodynamics

G De Chiara, G Landi, A Hewgill, B Reid… - New Journal of …, 2018 - iopscience.iop.org
The study of open quantum systems often relies on approximate master equations derived
under the assumptions of weak coupling to the environment. However when the system is …

Collision models in open system dynamics: A versatile tool for deeper insights?

S Campbell, B Vacchini - Europhysics Letters, 2021 - iopscience.iop.org
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 …

Collision models can efficiently simulate any multipartite Markovian quantum dynamics

M Cattaneo, G De Chiara, S Maniscalco, R Zambrini… - Physical Review Letters, 2021 - APS
We introduce the multipartite collision model, defined in terms of elementary interactions
between subsystems and ancillas, and show that it can simulate the Markovian dynamics of …

Capturing non-Markovian dynamics on near-term quantum computers

K Head-Marsden, S Krastanov, DA Mazziotti… - Physical Review …, 2021 - APS
With the rapid progress in quantum hardware, there has been an increased interest in new
quantum algorithms to describe complex many-body systems searching for the still-elusive …

Machine learning non-Markovian quantum dynamics

IA Luchnikov, SV Vintskevich, DA Grigoriev… - Physical review …, 2020 - APS
Machine learning methods have proved to be useful for the recognition of patterns in
statistical data. The measurement outcomes are intrinsically random in quantum physics …

Thermal recall: Memory-assisted Markovian thermal processes

J Czartowski, A de Oliveira Junior, K Korzekwa - PRX Quantum, 2023 - APS
We develop a resource-theoretic framework that allows one to bridge the gap between two
approaches to quantum thermodynamics based on Markovian thermal processes (which …

Modelling non-markovian quantum processes with recurrent neural networks

L Banchi, E Grant, A Rocchetto… - New Journal of …, 2018 - iopscience.iop.org
Quantum systems interacting with an unknown environment are notoriously difficult to
model, especially in presence of non-Markovian and non-perturbative effects. Here we …

Quantum collision models: A beginner guide

S Cusumano - Entropy, 2022 - mdpi.com
In recent years, quantum collision models, sometimes dubbed repeated interaction models,
have gained much attention due to their simplicity and their capacity to convey ideas without …