CARRAZZA, STEFANO
CARRAZZA, STEFANO
Dipartimento di Fisica Aldo Pontremoli
Designing a Machine Learning-Driven, Cross-Hardware Emulator for Noisy Quantum Computers with Gate-Based Protocols
2026 M. Ho, J.Y. Khoo, A.M. Mak, S. Carrazza
Double-bracket quantum algorithms for high-fidelity ground state preparation
2026 M. Robbiati, E. Pedicillo, A. Pasquale, X. Li, O. Kiss, A. Wright, R.M.S. Farias, K. Uyen Giang, J. Son, J. Knörzer, S. Thye Goh, J. Yong Khoo, N.H.Y. Ng, Z. Hölmes, S. Carrazza, M. Gluza
Real-time error mitigation for variational optimization on quantum hardware
2026 M. Robbiati, A. Sopena, A. Papaluca, S. Carrazza
Transmon qubit modeling and characterization for Dark Matter search
2025 R. Moretti, D. Labranca, P. Campana, R. Carobene, M. Gobbo, M.A. Castellanos-Beltran, D. Olaya, P.F. Hopkins, L. Banchi, M. Borghesi, A. Candido, S. Carrazza, H.A. Corti, A. D'Elia, M. Faverzani, E. Ferri, A. Nucciotti, L. Origo, A. Pasquale, A.S.P. Komnang, A. Rettaroli, S. Tocci, C. Gatti, A. Giachero
Qiboml: towards the orchestration of quantum-classical machine learning
2025 M. Robbiati, A. Papaluca, A. Pasquale, E. Pedicillo, R.M.S. Farias, A. Sopena, M. Robbiano, G. Alramahi, S. Bordoni, A. Candido, N. Laurora, J. Suda Neto, Y. Paul Tan, M. Grossi, S. Carrazza
Qibosoq: an open-source framework for quantum circuit RFSoC programming
2025 R. Carobene, A. Candido, J. Serrano, A. Orgaz-Fuertes, A. Giachero, S. Carrazza
Quantum noise modeling through Reinforcement Learning
2025 S. Bordoni, A. Papaluca, P. Buttarini, A. Sopena, S. Giagu, S. Carrazza
AI-Powered Noisy Quantum Emulation: Generalized Gate-Based Protocols for Hardware-Agnostic Simulation
2025 M. Ho, J. Yong Khoo, A.M. Mak, S. Carrazza
Combination of aN3LO PDFs and implications for Higgs production cross-sections at the LHC
2025 T. Cridge, L.A. Harland-Lang, J. Mcgowan, R.S. Thorne, N. Null, R.D. Ball, A. Candido, S. Carrazza, J. Cruz-Martinez, L. Del Debbio, S. Forte, F. Hekhorn, G. Magni, E.R. Nocera, T.R. Rabemananjara, J. Rojo, R. Stegeman, M. Ubiali
The path to $$\hbox {N}^3\hbox {LO}$$ parton distributions [The path to N3 LO parton distributions]
2024 R.D. Ball, A. Barontini, A. Candido, S. Carrazza, J. Cruz-Martinez, L. Del Debbio, S. Forte, T. Giani, F. Hekhorn, Z. Kassabov, N. Laurenti, G. Magni, E.R. Nocera, T.R. Rabemananjara, J. Rojo, C. Schwan, R. Stegeman, M. Ubiali
Quantum Computing for High-Energy Physics: State of the Art and Challenges
2024 A. Di Meglio, K. Jansen, I. Tavernelli, C. Alexandrou, S. Arunachalam, C.W. Bauer, K. Borras, S. Carrazza, A. Crippa, V. Croft, R. de Putter, A. Delgado, V. Dunjko, D.J. Egger, E. Fernández-Combarro, E. Fuchs, L. Funcke, D. González-Cuadra, M. Grossi, J.C. Halimeh, Z. Holmes, S. Kühn, D. Lacroix, R. Lewis, D. Lucchesi, M. Lucio Martinez, F. Meloni, A. Mezzacapo, S. Montangero, L. Nagano, V.R. Pascuzzi, V. Radescu, E. Rico Ortega, A. Roggero, J. Schuhmacher, J. Seixas, P. Silvi, P. Spentzouris, F. Tacchino, K. Temme, K. Terashi, J. Tura, C. Tüysüz, S. Vallecorsa, U. Wiese, S. Yoo, J. Zhang
Multi-variable integration with a variational quantum circuit
2024 J.M. Cruz Martinez, M. Robbiati, S. Carrazza
An open-source framework for quantum hardware control
2024 E. Pedicillo, A. Candido, S. Efthymiou, H. Sargsyan, Y. Paul Tan, J. Cereijo, J. Yong Khoo, A. Pasquale, M. Robbiati, S. Carrazza
Beyond full statevector simulation with Qibo
2024 A. Pasquale, A. Papaluca, R.M.S. Farias, M. Robbiati, E. Pedicillo, S. Carrazza
Determination of the theory uncertainties from missing higher orders on NNLO parton distributions with percent accuracy
2024 R.D. Ball, A. Barontini, A. Candido, S. Carrazza, J. Cruz-Martinez, L. Del Debbio, S. Forte, T. Giani, F. Hekhorn, Z. Kassabov, N. Laurenti, G. Magni, E.R. Nocera, T.R. Rabemananjara, J. Rojo, C. Schwan, R. Stegeman, M. Ubiali
Qibolab: an open-source hybrid quantum operating system
2024 S. Efthymiou, A. Orgaz-Fuertes, R. Carobene, J. Cereijo, A. Pasquale, S. Ramos-Calderer, S. Bordoni, D. Fuentes-Ruiz, A. Candido, E. Pedicillo, M. Robbiati, Y. Paul Tan, J. Wilkens, I. Roth, J. Ignacio Latorre, S. Carrazza
Benchmarking quantum Convolutional Neural Networks for Classification and Data Compression TasksBenchmarking
2024 J. Yong Khoo, C. Kwan Gan, W. Ding, S. Carrazza, J. Ye, J. Feng Kong
Strategies for optimizing double-bracket quantum algorithms
2024 L. Xiaoyue, M. Robbiati, A. Pasquale, E. Pedicillo, A. Wright, S. Carrazza, M. Gluza
Photons in the proton: implications for the LHC
2024 R.D. Ball, A. Barontini, A. Candido, S. Carrazza, J. Cruz-Martinez, L. Del Debbio, S. Forte, T. Giani, F. Hekhorn, Z. Kassabov, N. Laurenti, G. Magni, E.R. Nocera, T.R. Rabemananjara, J. Rojo, C. Schwan, R. Stegeman, M. Ubiali
Determination of the theory uncertainties from missing higher orders on NNLO parton distributions with percent accuracy
2024 R.D. Ball, A. Barontini, A. Candido, S. Carrazza, J. Cruz-Martinez, L. Del Debbio, S. Forte, T. Giani, F. Hekhorn, Z. Kassabov, N. Laurenti, G. Magni, E.R. Nocera, T.R. Rabemananjara, J. Rojo, C. Schwan, R. Stegeman, M. Ubiali