8 citations · 10 across the 2 of their papers we have counts for
7 papers
Mobility-based prediction of SARS-CoV-2 spreading
Lorenzo Chicchi, Lorenzo Giambagli, Lorenzo Buffoni +1
The rapid spreading of SARS-CoV-2 and its dramatic consequences, are forcing policymakers to take strict measures in order to keep the population safe. At the same time, societal a…
Machine learning in spectral domain
Lorenzo Giambagli, Lorenzo Buffoni, Timoteo Carletti +2
Deep neural networks are usually trained in the space of the nodes, by adjusting the weights of existing links via suitable optimization protocols. We here propose a radically new…
A Path Towards Quantum Advantage in Training Deep Generative Models with Quantum Annealers
Walter Vinci, Lorenzo Buffoni, Hossein Sadeghi +3
The development of quantum-classical hybrid (QCH) algorithms is critical to achieve state-of-the-art computational models. A QCH variational autoencoder (QVAE) was introduced in Re…
PixelVAE++: Improved PixelVAE with Discrete Prior
Hossein Sadeghi, Evgeny Andriyash, Walter Vinci +2
Constructing powerful generative models for natural images is a challenging task. PixelCNN models capture details and local information in images very well but have limited recepti…
Maximal energy extraction via quantum measurement
Andrea Solfanelli, Lorenzo Buffoni, Alessandro Cuccoli +1
We study the maximal amount of energy that can be extracted from a finite quantum system by means of projective measurements. For this quantity we coin the expression "metrotropy"…
Quantum Measurement Cooling
Lorenzo Buffoni, Andrea Solfanelli, Paola Verrucchi +2
Invasiveness of quantum measurements is a genuinely quantum mechanical feature that is not necessarily detrimental: Here we show how quantum measurements can be used to fuel a cool…