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 …

In recent years the dramatic progress in machine learning has begun to impact many areas
of science and technology significantly. In the present perspective article, we explore how …

Encoding a qubit in logical quantum states with wave functions characterized by disjoint
support and robust energies can offer simultaneous protection against relaxation and pure …

Efficient approaches to quantum control and feedback are essential for quantum
technologies, from sensing to quantum computation. Open-loop control tasks have been …

We deploy a combination of reinforcement learning-based approaches and more traditional
optimization techniques to identify optimal protocols for population transfer in a multi-level …

Novel qubits with intrinsic noise protection constitute a promising route for improving the
coherence of quantum information in superconducting circuits. However, many protected …

Quantum control methods, like rapid adiabatic passage, stimulated Raman adiabatic
passage, shortcuts to adiabaticity and optimal control, have become an integral part of …

The performance of a quantum processor depends on the characteristics of the device and
the quality of the control pulses. Characterizing cloud-based quantum computers and …

We propose a family of microwave-activated entangling gates on two capacitively coupled
fluxonium qubits. A microwave pulse applied to either qubit at a frequency near the half …

Quantum processing unit (QPU) has to satisfy highly demanding quantity and quality
requirements on its qubits to produce accurate results for problems at useful scales …