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 chopped random basis (CRAB) ansatz for quantum optimal control has been proven to
be a versatile tool to enable quantum technology applications such as quantum computing …

Diamond based quantum technology is a fast emerging field with both scientific and
technological importance. With the growing knowledge and experience concerning diamond …

Quantum optimal control includes a family of pulse-shaping algorithms that aim to unlock the
full potential of a variety of quantum technologies. The Quantum Optimal Control Suite …

A recurring challenge in quantum science and technology is the precise control of their
underlying dynamics that lead to the desired quantum operations, often described by a set of …

I demonstrate the potential of reinforcement learning (RL) to prepare quantum states of
strongly periodically driven nonlinear single-particle models. The ability of Q-learning to …

With quantum resources a precious commodity, their efficient use is highly desirable.
Quantum autoencoders have been proposed as a way to reduce quantum memory …

We introduce a remote interface to control and optimize the experimental production of Bose–
Einstein condensates (BECs) and find improved solutions using two distinct …

As with any quantum computing platform, semiconductor quantum dot devices require
sophisticated hardware and controls for operation. The increasing complexity of quantum …

We experimentally demonstrate a shaken-lattice interferometer. Atoms are trapped in the
ground Bloch state of a red-detuned optical lattice. Using a closed-loop optimization protocol …