Quantum optimal control, a toolbox for devising and implementing the shapes of external
fields that accomplish given tasks in the operation of a quantum device in the best way …

The future development of quantum technologies relies on creating and manipulating
quantum systems of increasing complexity, with key applications in computation, simulation …

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 dynamical maps provide suitable mathematical representation of quantum
evolutions. When representing quantum states by density operators, the evident …

Crosstalk occurs in most quantum computing systems with more than one qubit. It can cause
a variety of correlated and nonlocal $\textit {crosstalk errors} $ that can be especially harmful …

The field of classical stochastic processes forms a major branch of mathematics. Stochastic
processes are, of course, also very well studied in biology, chemistry, ecology, geology …

The presence of noise or the interaction with an environment can radically change the
dynamics of observables of an otherwise isolated quantum system. We derive a bound on …

The dynamical convergence of a system to the thermal distribution, or Gibbs state, is a
standard assumption across all of the physical sciences. The Gibbs state is determined just …

In the scale-up of quantum computers, the framework underpinning fault-tolerance generally
relies on the strong assumption that environmental noise affecting qubit logic is uncorrelated …

Characterization protocols have so far played a central role in the development of noisy
intermediate-scale quantum (NISQ) computers capable of impressive quantum feats. This …