252 citations · 2.7k across the 75 of their papers we have counts for
9 papers · 2 filters
Potential and limitations of quantum extreme learning machines
Luca Innocenti, Salvatore Lorenzo, Ivan Palmisano +3
Quantum reservoir computers (QRC) and quantum extreme learning machines (QELM) aim to efficiently post-process the outcome of fixed -- generally uncalibrated -- quantum devices to…
Multi-squeezed state generation and universal bosonic control via a driven quantum Rabi model
Peter McConnell, Alessandro Ferraro, Ricardo Puebla
Universal control over a bosonic degree of freedom is key in the quest for quantum-based technologies. Such universal control requires however the ability to perform demanding non-…
Regression of high dimensional angular momentum states of light
Danilo Zia, Riccardo Checchinato, Alessia Suprano +7
The Orbital Angular Momentum (OAM) of light is an infinite-dimensional degree of freedom of light with several applications in both classical and quantum optics. However, to fully…
Optimal quantum control via genetic algorithms for quantum state engineering in driven-resonator mediated networks
Jonathon Brown, Mauro Paternostro, Alessandro Ferraro
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 net…
The vacuum provides quantum advantage to otherwise simulatable architectures
Cameron Calcluth, Alessandro Ferraro, Giulia Ferrini
We consider a computational model composed of ideal Gottesman-Kitaev-Preskill stabilizer states, Gaussian operations - including all rational symplectic operations and all real dis…
Deterministic Gaussian conversion protocols for non-Gaussian single-mode resources
Oliver Hahn, Patric Holmvall, Pascal Stadler +2
In the context of quantum technologies over continuous variables, Gaussian states and operations are typically regarded as freely available, as they are relatively easily accessibl…