A reflection of our ultimate understanding of a complex system is our ability to control its
behavior. Typically, control has multiple prerequisites: it requires an accurate map of the …

The development of estimation and control theories for quantum systems is a fundamental
task for practical quantum technology. This vision article presents a brief introduction to …

It is control that turns scientific knowledge into useful technology: in physics and engineering
it provides a systematic way for driving a dynamical system from a given initial state into a …

Optimal control theory is a powerful mathematical tool, which has known a rapid
development since the 1950s, mainly for engineering applications. More recently, it has …

Emerging reinforcement learning techniques using deep neural networks have shown great
promise in control optimization. They harness non-local regularities of noisy control …

Quantum computers promise tremendous impact across applications—and have shown
great strides in hardware engineering—but remain notoriously error prone. Careful design of …

The last decade has witnessed remarkable progress in the development of quantum
technologies. Although fault-tolerant devices likely remain years away, the noisy …

The efficient control of complex dynamical systems has many applications in the natural and
applied sciences. In most real-world control problems, both control energy and cost …

The control of individual quantum systems is now a reality in a variety of physical settings.
Feedback control is an important class of control methods because of its ability to reduce the …

There has been recent promising experimental and theoretical evidence that quantum
computational tools might enhance the precision and efficiency of physical experiments …