BUFFONI, LORENZO
BUFFONI, LORENZO
Fisica e Astronomia
A path towards quantum advantage in training deep generative models with quantum annealers
2020 Walter Vinci, Lorenzo Buffoni, Hossein Sadeghi, Amir Khoshaman, Evgeny Andriyash, Mohammad Amin
Cooperative quantum information erasure
2023 Lorenzo Buffoni; Michele Campisi
Deep learning and alignment of spatially resolved single-cell transcriptomes with Tangram
2021 Biancalani T.; Scalia G.; Buffoni L.; Avasthi R.; Lu Z.; Sanger A.; Tokcan N.; Vanderburg C.R.; Segerstolpe A.; Zhang M.; Avraham-Davidi I.; Vickovic S.; Nitzan M.; Ma S.; Subramanian A.; Lipinski M.; Buenrostro J.; Brown N.B.; Fanelli D.; Zhuang X.; Macosko E.Z.; Regev A.
Energy fluctuation relations and repeated quantum measurements
2022 Stefano Gherardini; Lorenzo Buffoni; Guido Giachetti; Andrea Trombettoni; Stefano Ruffo
Experimental characterization of the energetics of quantum logic gates
2020 Cimini V.; Gherardini S.; Barbieri M.; Gianani I.; Sbroscia M.; Buffoni L.; Paternostro M.; Caruso F.
Experimental Quantum Embedding for Machine Learning
2022 Gianani, I; Mastroserio, I; Buffoni, L; Bruno, N; Donati, L; Cimini, V; Barbieri, M; Cataliotti, FS; Caruso, F
Improved bound on entropy production in a quantum annealer
2021 Campisi, Michele; Buffoni, Lorenzo
Learning the noise fingerprint of quantum devices
2022 Martina S.; Buffoni L.; Gherardini S.; Caruso F.
Machine learning applications in science
2021 Lorenzo Buffoni
Machine learning in spectral domain
2021 Giambagli L.; Buffoni L.; Carletti T.; Nocentini W.; Fanelli D.
Maximal energy extraction via quantum measurement
2019 Solfanelli A.; Buffoni L.; Cuccoli A.; Campisi M.
Network-based link prediction of scientific concepts - a Science4Cast competition entry
2021 Moutinho, JP; Coutinho, B; Buffoni, L
New trends in quantum machine learning
2020 Buffoni L.; Caruso F.
Noise fingerprints in quantum computers: Machine learning software tools
2022 Martina, Stefano; Gherardini, Stefano; Buffoni, Lorenzo; Caruso, Filippo
Nonequilibrium quantum-heat statistics under stochastic projective measurements
2018 Gherardini, Stefano; Buffoni, Lorenzo; Müller, Matthias M.; Caruso, Filippo; Campisi, Michele; Trombettoni, Andrea; Ruffo, Stefano
Quantum density peak clustering
2023 Duarte Magano; Lorenzo Buffoni; Yasser Omar
Quantum Measurement Cooling
2019 Buffoni Lorenzo, Solfanelli Andrea, Verrucchi Paola, Cuccoli Alessandro, Campisi Michele
Quantum reinforcement learning: the maze problem
2022 Dalla Pozza, Nicola; Buffoni, Lorenzo; Martina, Stefano; Caruso, Filippo
Recurrent Spectral Network (RSN): Shaping a discrete map to reach automated classification
2023 Chicchi L.; Fanelli D.; Giambagli L.; Buffoni L.; Carletti T.
Spectral pruning of fully connected layers
2022 Buffoni, Lorenzo; Civitelli, Enrico; Giambagli, Lorenzo; Chicchi, Lorenzo; Fanelli, Duccio
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A path towards quantum advantage in training deep generative models with quantum annealers | 2020 | Walter Vinci, Lorenzo Buffoni, Hossein Sadeghi, Amir Khoshaman, Evgeny Andriyash, Mohammad Amin | |
| Cooperative quantum information erasure | 2023 | Lorenzo Buffoni; Michele Campisi | |
| Deep learning and alignment of spatially resolved single-cell transcriptomes with Tangram | 2021 | Biancalani T.; Scalia G.; Buffoni L.; Avasthi R.; Lu Z.; Sanger A.; Tokcan N.; Vanderburg C.R.; Segerstolpe A.; Zhang M.; Avraham-Davidi I.; Vickovic S.; Nitzan M.; Ma S.; Subramanian A.; Lipinski M.; Buenrostro J.; Brown N.B.; Fanelli D.; Zhuang X.; Macosko E.Z.; Regev A. | |
| Energy fluctuation relations and repeated quantum measurements | 2022 | Stefano Gherardini; Lorenzo Buffoni; Guido Giachetti; Andrea Trombettoni; Stefano Ruffo | |
| Experimental characterization of the energetics of quantum logic gates | 2020 | Cimini V.; Gherardini S.; Barbieri M.; Gianani I.; Sbroscia M.; Buffoni L.; Paternostro M.; Caruso F. | |
| Experimental Quantum Embedding for Machine Learning | 2022 | Gianani, I; Mastroserio, I; Buffoni, L; Bruno, N; Donati, L; Cimini, V; Barbieri, M; Cataliotti, FS; Caruso, F | |
| Improved bound on entropy production in a quantum annealer | 2021 | Campisi, Michele; Buffoni, Lorenzo | |
| Learning the noise fingerprint of quantum devices | 2022 | Martina S.; Buffoni L.; Gherardini S.; Caruso F. | |
| Machine learning applications in science | 2021 | Lorenzo Buffoni | |
| Machine learning in spectral domain | 2021 | Giambagli L.; Buffoni L.; Carletti T.; Nocentini W.; Fanelli D. | |
| Maximal energy extraction via quantum measurement | 2019 | Solfanelli A.; Buffoni L.; Cuccoli A.; Campisi M. | |
| Network-based link prediction of scientific concepts - a Science4Cast competition entry | 2021 | Moutinho, JP; Coutinho, B; Buffoni, L | |
| New trends in quantum machine learning | 2020 | Buffoni L.; Caruso F. | |
| Noise fingerprints in quantum computers: Machine learning software tools | 2022 | Martina, Stefano; Gherardini, Stefano; Buffoni, Lorenzo; Caruso, Filippo | |
| Nonequilibrium quantum-heat statistics under stochastic projective measurements | 2018 | Gherardini, Stefano; Buffoni, Lorenzo; Müller, Matthias M.; Caruso, Filippo; Campisi, Michele; Trombettoni, Andrea; Ruffo, Stefano | |
| Quantum density peak clustering | 2023 | Duarte Magano; Lorenzo Buffoni; Yasser Omar | |
| Quantum Measurement Cooling | 2019 | Buffoni Lorenzo, Solfanelli Andrea, Verrucchi Paola, Cuccoli Alessandro, Campisi Michele | |
| Quantum reinforcement learning: the maze problem | 2022 | Dalla Pozza, Nicola; Buffoni, Lorenzo; Martina, Stefano; Caruso, Filippo | |
| Recurrent Spectral Network (RSN): Shaping a discrete map to reach automated classification | 2023 | Chicchi L.; Fanelli D.; Giambagli L.; Buffoni L.; Carletti T. | |
| Spectral pruning of fully connected layers | 2022 | Buffoni, Lorenzo; Civitelli, Enrico; Giambagli, Lorenzo; Chicchi, Lorenzo; Fanelli, Duccio |