Active quantum error correction is a central ingredient to achieve robust quantum
processors. In this paper we investigate the potential of quantum machine learning for …

We consider open quantum systems whose dynamics is governed by a time-independent
Markovian Lindblad master equation. Such systems approach their stationary state on a …

We consider a class of open quantum many-body Lindblad dynamics characterized by an all-
to-all coupling Hamiltonian and by dissipation featuring collective'state-dependent'rates. The …

Quantum oscillators with nonlinear driving and dissipative terms have gained significant
attention due to their ability to stabilize cat states for universal quantum computation …

Quantum optical networks are instrumental in addressing the fundamental questions and
enable applications ranging from communication to computation and, more recently …

Quantum neural networks form one pillar of the emergent field of quantum machine learning.
Here quantum generalizations of classical networks realizing associative memories …

Dissipative light-matter systems can display emergent collective behavior. Here, we report a
Z 2-symmetry-breaking phase transition in a system of multilevel Rb 87 atoms strongly …

Associative memory or content addressable memory is an important component function in
computer science and information processing and is a key concept in cognitive and …

Classical artificial neural networks, built from elementary units, possess enormous
expressive power. Here we investigate a quantum neural network (QNN) architecture, which …

We present extensive simulations of a quantum version of the Hopfield neural network to
explore its emergent behavior. The system is a network of N qubits oscillating at a given Ω …