Lorenzo Buffoni

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Michele CampisiNEST, CNR-NANO and Scuola Normale SuperioreVerified email at nano.cnr.it
Duccio FanelliUniversity of FlorenceVerified email at unifi.it
Filippo CarusoAssociate Professor in Physics, Florence UniversityVerified email at unifi.it
Stefano GherardiniCNR-INO & LENS (University of Florence, Italy)Verified email at lens.unifi.it
Tommaso BiancalaniGenentechVerified email at gene.com
Andrea SolfanelliPhD Student, SISSA, TriesteVerified email at sissa.it
Gabriele ScaliaGenentechVerified email at gene.com
Lorenzo GiambagliPhD Student, University of Florence & NaXys, University of NamurVerified email at unifi.it
Walter VinciHP SCDSVerified email at hp.com
Mohammad AminD-Wave System Inc. & Simon Fraser UniversityVerified email at dwavesys.com
Evgeny AndriyashSanctuary AIVerified email at sanctuary.ai
Neriman TokcanBroad Institute of MIT and HarvardVerified email at broadinstitute.org
Meng ZhangHarvard UniversityVerified email at fas.harvard.edu
Aman SangerStudent, Massachusetts Institute of TechnologyVerified email at mit.edu
Xiaowei ZhuangProfessor of Chemistry and Chemical Biology, Harvard UniversityVerified email at chemistry.harvard.edu
Ziqing LuGenentechVerified email at gene.com
Sanja VickovicNYGC, Columbia University, Uppsala UniversityVerified email at nygenome.org
paola verrucchiIstituto dei Sistemi Complessi - CNR & Dipartimento di Fisica Universita' di FirenzeVerified email at fi.infn.it
timoteo carlettiNamur Center for Complex SystemsVerified email at fundp.ac.be
Stefano RuffoSISSAVerified email at sissa.it

Lorenzo Buffoni

Postdoctoral Researcher, Instituto de Telecomunicações, University of Lisbon

Verified email at lx.it.pt - Homepage

Quantum Information Machine Learning Quantum Thermodynamics


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Quantum measurement cooling L Buffoni, A Solfanelli, P Verrucchi, A Cuccoli, M Campisi Physical Review Letters 122 (7), 070603, 2019	79	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	50*	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	37	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	23	2018
Thermodynamics of a quantum annealer L Buffoni, M Campisi Quantum Science and Technology 5 (3), 035013, 2020	20	2020
Pixelvae++: Improved pixelvae with discrete prior H Sadeghi, E Andriyash, W Vinci, L Buffoni, MH Amin arXiv preprint arXiv:1908.09948, 2019	20	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	12	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	11	2019
Improved bound on entropy production in a quantum annealer M Campisi, L Buffoni Physical Review E 104 (2), L022102, 2021	9*	2021
Machine learning in spectral domain L Giambagli, L Buffoni, T Carletti, W Nocentini, D Fanelli Nature communications 12 (1), 1-9, 2021	8	2021
New trends in quantum machine learning (a) L Buffoni, F Caruso EPL (Europhysics Letters) 132 (6), 60004, 2021	7	2021
Learning the noise fingerprint of quantum devices S Martina, L Buffoni, S Gherardini, F Caruso Quantum Machine Intelligence 4 (1), 1-12, 2022	2	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	2*	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	1	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	1	2021
Mobility-based prediction of SARS-CoV-2 spreading L Chicchi, L Giambagli, L Buffoni, D Fanelli arXiv preprint arXiv:2102.08253, 2021	1	2021
Noise fingerprints in quantum computers: Machine learning software tools S Martina, S Gherardini, L Buffoni, F Caruso Software Impacts 12, 100260, 2022		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		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		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		2022

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