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 future development of quantum technologies relies on creating and manipulating
quantum systems of increasing complexity, with key applications in computation, simulation …

The ambition of harnessing the quantum for computation is at odds with the fundamental
phenomenon of decoherence. The purpose of quantum error correction (QEC) is to …

Full manipulation of a quantum system requires controlled evolution generated by nonlinear
interactions, which is coherent when the rate of nonlinearity is large compared with the rate …

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 …

We propose and demonstrate an architecture for fluxonium-fluxonium two-qubit gates
mediated by transmon couplers (FTF, for fluxonium-transmon-fluxonium). Relative to …

Model bias is an inherent limitation of the current dominant approach to optimal quantum
control, which relies on a system simulation for optimization of control policies. To overcome …

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 …

Estimation of physical quantities is at the core of most scientific research, and the use of
quantum devices promises to enhance its performances. In real scenarios, it is fundamental …

Realizing the full potential of quantum technologies requires precise real-time control on
time scales much shorter than the coherence time. Model-free reinforcement learning …