In designing quantum control, it is generally required to simulate the controlled system
evolution with a classical computer. However, computing the time evolution operator can be …

Efficient optimization of quantum systems is a necessity for reaching fault-tolerant
thresholds. A standard tool for optimizing simulated quantum dynamics is the gradient …

We implement a quantum optimal control algorithm based on automatic differentiation and
harness the acceleration afforded by graphics processing units (GPUs). Automatic …

The time evolution of quantum many-body systems is one of the most promising applications
for near-term quantum computers. However, the utility of current quantum devices is strongly …

The controls enacting logical operations on quantum systems are described by time-
dependent Hamiltonians that often include rapid oscillations. In order to accurately capture …

Applying optimal control algorithms on realistic quantum systems confronts two key
challenges: to efficiently adopt physical constraints in the optimization and to minimize the …

Quantum optimal control, a powerful toolbox for engineering an optimal control field
modulation that most precisely implements a desired quantum operation in the best way …

We present a time-parallelization method that enables one to accelerate the computation of
quantum optimal control algorithms. We show that this approach is approximately fully …

Nonequilibrium time evolution of large quantum systems is a strong candidate for quantum
advantage. Variational quantum algorithms have been put forward for this task, but their …

The simulation of quantum dynamics on a digital quantum computer with parametrized
circuits has widespread applications in fundamental and applied physics and chemistry. In …