This review investigates the landscapes of hybrid quantum–classical optimization algorithms
that are prevalent in many rapidly developing quantum technologies, where the objective …

Optimization is ubiquitous in the control of quantum dynamics in atomic, molecular, and
optical systems. The ease or difficulty of finding control solutions, which is practically crucial …

To achieve quantum machine learning on imperfect noisy intermediate-scale quantum
(NISQ) processors, the entire physical implementation should include as few as possible …

Coherent control experiments in molecules are often done with shaped laser fields. The
electric field is described classically and control over the time evolution of the system is …

A common goal in the sciences is optimization of an objective function by selecting control
variables such that a desired outcome is achieved. This scenario can be expressed in terms …

We tailor the quantum statistics of a bosonic field to deterministically drive a quantum system
into a target state. Experimentally accessible states of the field achieve good control of …

The optimally designed control of quantum systems is playing an increasingly important role
to engineer novel and more efficient quantum technologies. Here, in the scenario …