APFEL: A PDF evolution library with QED corrections. - Valerio Bertone; Stefano Carrazza; Juan Rojo (Comput. Phys. Commun., 2014)

Research infrastructures in the LHC era: a scientometric approach. - Stefano Carrazza; Alfio Ferrara; Silvia Salini (CoRR, 2016)

QCDLoop: A comprehensive framework for one-loop scalar integrals. - Stefano Carrazza; R. Keith Ellis; Giulia Zanderighi (Comput. Phys. Commun., 2016)

APFELgrid : A high performance tool for parton density determinations. - Valerio Bertone; Stefano Carrazza; Nathan Hartland (Comput. Phys. Commun., 2017)

Machine Learning in High Energy Physics Community White Paper. - Kim Albertsson; Piero Altoe; Dustin Anderson; Michael Andrews; Juan Pedro Araque Espinosa; Adam Aurisano; Laurent Basara; Adrian Bevan; Wahid Bhimji; Daniele Bonacorsi; Paolo Calafiura; Mario Campanelli; et al. (CoRR, 2018)

Jet grooming through reinforcement learning. - Stefano Carrazza; Frédéric A. Dreyer (CoRR, 2019)

Modelling conditional probabilities with Riemann-Theta Boltzmann Machines. - Stefano Carrazza; Daniel Krefl; Andrea Papaluca (CoRR, 2019)

Lund jet images from generative and cycle-consistent adversarial networks. - Stefano Carrazza; Frédéric A. Dreyer (CoRR, 2019)

Towards hardware acceleration for parton densities estimation. - Stefano Carrazza; Juan Cruz-Martinez; Jesús Urtasun-Elizari; Emilio Villa (CoRR, 2019)

Qibo: a framework for quantum simulation with hardware acceleration. - Stavros Efthymiou; Sergi Ramos-Calderer; Carlos Bravo-Prieto; Adrián Pérez-Salinas; Diego García-Martín; Artur García-Sáez; José I. Latorre; Stefano Carrazza (CoRR, 2020)

PDFFlow: hardware accelerating parton density access. - Marco Rossi 010; Stefano Carrazza; Juan M. Cruz-Martinez (CoRR, 2020)

VegasFlow: Accelerating Monte Carlo simulation across multiple hardware platforms. - Stefano Carrazza; Juan Cruz-Martinez (Comput. Phys. Commun., 2020)

Sampling the Riemann-Theta Boltzmann machine. - Stefano Carrazza; Daniel Krefl (Comput. Phys. Commun., 2020)

Riemann-Theta Boltzmann machine. - Daniel Krefl; Stefano Carrazza; Babak Haghighat; Jens Kahlen (Neurocomputing, 2020)

The Prime state and its quantum relatives. - Diego García-Martín; E. Ribas; Stefano Carrazza; José I. Latorre; Germán Sierra (Quantum, 2020)

A framework for quantitative analysis of Computed Tomography images of viral pneumonitis: radiomic features in COVID and non-COVID patients. - Giulia Zorzi; Luca Berta; Stefano Carrazza; Alberto Torresin (CoRR, 2021)

PDFFlow: Parton distribution functions on GPU. - Stefano Carrazza; Juan M. Cruz-Martinez; Marco Rossi 010 (Comput. Phys. Commun., 2021)

MCNNTUNES: Tuning Shower Monte Carlo generators with machine learning. - Marco Lazzarin; Simone Alioli; Stefano Carrazza (Comput. Phys. Commun., 2021)

Style-based quantum generative adversarial networks for Monte Carlo events. - Carlos Bravo-Prieto; Julien Baglio; Marco Cè; Anthony Francis; Dorota M. Grabowska; Stefano Carrazza (Quantum, 2022)

Quantum simulation with just-in-time compilation. - Stavros Efthymiou; Marco Lazzarin; Andrea Di Pasquale; Stefano Carrazza (Quantum, 2022)

Quantum circuit noise simulation with reinforcement learning (Short Paper). - Simone Bordoni; Andrea Papaluca; Piergiorgio Buttarini; Alejandro Sopena; Stefano Carrazza; Stefano Giagu (AIQxQIA@AI*IA, 2023)

Product Jacobi-Theta Boltzmann machines with score matching. - Andrea Di Pasquale; Daniel Krefl; Stefano Carrazza; Frank Nielsen (CoRR, 2023)

Benchmarking machine learning models for quantum state classification. - Edoardo Pedicillo; Andrea Di Pasquale; Stefano Carrazza (CoRR, 2023)

Qibolab: an open-source hybrid quantum operating system. - Stavros Efthymiou; Alvaro Orgaz-Fuertes; Rodolfo Carobene; Juan Cereijo; Andrea Di Pasquale; Sergi Ramos-Calderer; Simone Bordoni; David Fuentes-Ruiz; Alessandro Candido; Edoardo Pedicillo; Matteo Robbiati; Yuanzheng Paul Tan; et al. (Quantum, 2024)

Determining probability density functions with adiabatic quantum computing. - Matteo Robbiati; Juan M. Cruz-Martinez; Stefano Carrazza (Quantum Mach. Intell., 2025)