In the past 20 years, impressive progress has been made both experimentally and
theoretically in superconducting quantum circuits, which provide a platform for manipulating …

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 …

Giant atoms are a new paradigm of quantum optics going beyond the usual local coupling.
Building on this, a new type of decoherence-free (DF) many-body Hamiltonians was shown …

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 …

Light-matter interaction and understanding the fundamental physics behind is essential for
emerging quantum technologies. Solid-state devices may explore new regimes where …

The deterministic generation of non-classical states of light, including squeezed states, Fock
states and Bell states, plays an important role in quantum information processing and …

We propose a robust and high-fidelity scheme for realizing universal quantum gates by
optimizing short pulse sequences in a three-level system. To alleviate the sensitivity to the …

In this paper we evaluate the performance of two superadiabatic stimulated Raman
adiabatic passage (STIRAP) protocols derived from Gaussian and sin-cos pulses, under …

We theoretically investigate the non-Markovian dynamical decoherence of a quantum
system coupled to nonequilibrium environments with nonstationary statistical properties. We …