Quantum collision models: Open system dynamics from repeated interactions
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 …
repeated interactions schemes: a class of microscopic system–bath models for investigating …
Quantum engines and refrigerators
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 …
a more useful form that can perform work. In the classical setup, physical, chemical, and …
Reconciliation of quantum local master equations with thermodynamics
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 …
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?
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 …
or energy with its surroundings is a ubiquitous problem, one which must be carefully …
Collision models can efficiently simulate any multipartite Markovian quantum dynamics
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 …
between subsystems and ancillas, and show that it can simulate the Markovian dynamics of …
Capturing non-Markovian dynamics on near-term quantum computers
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 …
quantum algorithms to describe complex many-body systems searching for the still-elusive …
Machine learning non-Markovian quantum dynamics
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 …
statistical data. The measurement outcomes are intrinsically random in quantum physics …
Thermal recall: Memory-assisted Markovian thermal processes
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 …
approaches to quantum thermodynamics based on Markovian thermal processes (which …
Modelling non-markovian quantum processes with recurrent neural networks
Quantum systems interacting with an unknown environment are notoriously difficult to
model, especially in presence of non-Markovian and non-perturbative effects. Here we …
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 …
have gained much attention due to their simplicity and their capacity to convey ideas without …