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 …

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 …

Improving the speed and fidelity of quantum logic gates is essential to reach quantum
advantage with future quantum computers. However, fast logic gates lead to increased …

Coupling a resonator to a superconducting qubit enables various operations on the qubit,
including dispersive readout and unconditional reset. The speed of these operations is …

Classical simulation of quantum dynamics plays an important role in our understanding of
quantum complexity, and in the development of quantum technologies. Compared to other …

Reaching high-speed, high-fidelity qubit operations requires precise control over the shape
of the underlying pulses. For weakly anharmonic systems, such as superconducting …

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

We show a pulse-efficient circuit transpilation framework for noisy quantum hardware. This is
achieved by scaling cross-resonance pulses and exposing each pulse as a gate to remove …

We present a new open-source Python package, krotov, implementing the quantum optimal
control method of that name. It allows to determine time-dependent external fields for a wide …