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 …

Robust excitation of a large spin ensemble is a long-standing problem in the field of
quantum information science and engineering and presents a grand challenge in quantum …

Quantum machine learning (QML) based on Noisy Intermediate-Scale Quantum (NISQ)
devices requires the optimal utilization of limited quantum resources. The commonly used …

Controlling a large population, in the limit, a continuum, of structurally identical dynamical
systems with parametric variations is a pervasive task in diverse applications in science and …

In this paper, we study the control properties of a new class of stochastic ensemble systems
that consists of families of random variables. These random variables provide an …

A persistent challenge in tasks involving large-scale dynamical systems, such as state
estimation and error reduction, revolves around processing the collected measurements …

Ensemble control, an emerging research field focusing on the study of large populations of
dynamical systems, has demonstrated great potential in numerous scientific and practical …

Learning tasks involving function approximation are preva-lent in numerous domains of
science and engineering. The underlying idea is to design a learning algorithm that gener …