The technique of stimulated Raman adiabatic passage (STIRAP), which allows efficient and
selective population transfer between quantum states without suffering loss due to …

Abstract Quantum Optimal Control is an established field of research which is necessary for
the development of Quantum Technologies. In recent years, Machine Learning techniques …

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 …

Stimulated adiabatic passage utilizes radiation pulses to efficiently and selectively transfer
population between quantum states, via an intermediate state that is normally decaying. In …

We employ a machine learning-enabled approach to quantum state engineering based on
evolutionary algorithms. In particular, we focus on superconducting platforms and consider a …

We propose a protocol for the manipulation of a three-level artificial atom in Lambda (Λ)
configuration. It allows faithful, selective and robust population transfer analogous to …

Advanced control in Lambda (Λ) scheme of a solid state architecture of artificial atoms and
quantized modes would allow the translation to the solid‐state realm of a whole class of …

In many quantum technologies adiabatic processes are used for coherent quantum state
operations, offering inherent robustness to errors in the control parameters. The main …

The ground state of an artificial atom ultrastrongly coupled to quantized modes is entangled
and contains an arbitrary number of virtual photons. The problem of their detection has been …

Reaching a given target quantum state with high fidelity and fast operation speed close to
the quantum limit represents an important goal in quantum information science. Here we …