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 …

Simulating quantum many-body systems is a key application for emerging quantum
processors. While analog quantum simulation has already demonstrated quantum …

Among the many computational challenges faced across different disciplines, quantum-
mechanical systems pose some of the hardest ones and offer a natural playground for the …

Quantum computers are promising for simulations of chemical and physical systems, but the
limited capabilities of today's quantum processors permit only small, and often approximate …

Discoveries in quantum materials, which are characterized by the strongly quantum-
mechanical nature of electrons and atoms, have revealed exotic properties that arise from …

Deep learning has been shown to be able to recognize data patterns better than humans in
specific circumstances or contexts. In parallel, quantum computing has demonstrated to be …

Electron transport in realistic physical and chemical systems often involves the nontrivial
exchange of energy with a large environment, requiring the definition and treatment of open …

Abstract We introduce $\texttt {Yao} $, an extensible, efficient open-source framework for
quantum algorithm design. $\texttt {Yao} $ features generic and differentiable programming …

Accurate simulation of the time evolution of a quantum system under the influence of an
environment is critical to making accurate predictions in chemistry, condensed-matter …

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 …