Lorenzo Buffoni
Lorenzo Buffoni
Postdoctoral Researcher, Instituto de Telecomunicações, University of Lisbon
Verified email at - Homepage
Cited by
Cited by
Quantum measurement cooling
L Buffoni, A Solfanelli, P Verrucchi, A Cuccoli, M Campisi
Physical Review Letters 122 (7), 070603, 2019
Deep learning and alignment of spatially resolved single-cell transcriptomes with Tangram
T Biancalani, G Scalia, L Buffoni, R Avasthi, Z Lu, A Sanger, N Tokcan, ...
Nature methods 18 (11), 1352-1362, 2021
A path towards quantum advantage in training deep generative models with quantum annealers
W Winci, L Buffoni, H Sadeghi, A Khoshaman, E Andriyash, MH Amin
Machine Learning: Science and Technology 1 (4), 045028, 2020
Non-equilibrium quantum-heat statistics under stochastic projective measurements
S Gherardini, L Buffoni, MM Mueller, F Caruso, M Campisi, A Trombettoni, ...
Physical Review E 98 (3), 032108, 2018
Thermodynamics of a quantum annealer
L Buffoni, M Campisi
Quantum Science and Technology 5 (3), 035013, 2020
Pixelvae++: Improved pixelvae with discrete prior
H Sadeghi, E Andriyash, W Vinci, L Buffoni, MH Amin
arXiv preprint arXiv:1908.09948, 2019
Experimental characterization of the energetics of quantum logic gates
V Cimini, S Gherardini, M Barbieri, I Gianani, M Sbroscia, L Buffoni, ...
npj Quantum Information 6 (1), 1-8, 2020
Maximal energy extraction via quantum measurement
A Solfanelli, L Buffoni, A Cuccoli, M Campisi
Journal of Statistical Mechanics: Theory and Experiment 2019 (9), 094003, 2019
Improved bound on entropy production in a quantum annealer
M Campisi, L Buffoni
Physical Review E 104 (2), L022102, 2021
Machine learning in spectral domain
L Giambagli, L Buffoni, T Carletti, W Nocentini, D Fanelli
Nature communications 12 (1), 1-9, 2021
New trends in quantum machine learning (a)
L Buffoni, F Caruso
EPL (Europhysics Letters) 132 (6), 60004, 2021
Learning the noise fingerprint of quantum devices
S Martina, L Buffoni, S Gherardini, F Caruso
Quantum Machine Intelligence 4 (1), 1-12, 2022
Training of sparse and dense deep neural networks: Fewer parameters, same performance
L Chicchi, L Giambagli, L Buffoni, T Carletti, M Ciavarella, D Fanelli
Physical Review E 104 (5), 054312, 2021
Spectral pruning of fully connected layers: ranking the nodes based on the eigenvalues
L Buffoni, E Civitelli, L Giambagli, L Chicchi, D Fanelli
arXiv preprint arXiv:2108.00940, 2021
Experimental Quantum Embedding for Machine Learning
I Gianani, I Mastroserio, L Buffoni, N Bruno, L Donati, V Cimini, M Barbieri, ...
arXiv preprint arXiv:2106.13835, 2021
Mobility-based prediction of SARS-CoV-2 spreading
L Chicchi, L Giambagli, L Buffoni, D Fanelli
arXiv preprint arXiv:2102.08253, 2021
Noise fingerprints in quantum computers: Machine learning software tools
S Martina, S Gherardini, L Buffoni, F Caruso
Software Impacts 12, 100260, 2022
Stepwise-edited, human melanoma models reveal mutations’ effect on tumor and microenvironment
E Hodis, ET Triglia, JYH Kwon, T Biancalani, LR Zakka, S Parkar, ...
Science 376 (6592), eabi8175, 2022
Third law of thermodynamics and the scaling of quantum computers
L Buffoni, S Gherardini, EZ Cruzeiro, Y Omar
arXiv preprint arXiv:2203.09545, 2022
Deep learning and alignment of spatially-resolved whole transcriptomes of single cells
A Regev, T Biancalani, G Scalia, L Buffoni
US Patent App. 17/459,368, 2022
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