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 …

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

High-fidelity generation of two-qubit gates is important for quantum computation, since such
gates are components of popular universal sets of gates. Here, we consider the problem of …

This Perspective addresses the often observed surprising ease of achieving optimal control
of nonlinear phenomena in quantum and classical complex systems. The circumstances …

Edge intelligence (EI) refers to a set of connected systems and devices for artificial
intelligence (AI) data collected and learned near the data collection site. The EI model …

Spectral densities encode the relevant information characterizing the system–environment
interaction in an open-quantum system problem. Such information is key to determining the …

The advantages of quantum pulses over quantum gates have attracted increasing attention
from researchers. Quantum pulses offer benefits such as flexibility, high fidelity, scalability …

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 …

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 …

The science of electronic fluctuations and noise has been one of the most important
branches of applied physics. The investigation of noise is essential for the understanding of …