Genetic Algorithms for Error Mitigation in Quantum Measurement. - Giovanni Acampora; Michele Grossi; Autilia Vitiello (CEC, 2021)

Genetic Algorithms based on Bhattacharyya Distance for Quantum Measurement Error Mitigation. - Giovanni Acampora; Michele Grossi; Autilia Vitiello (SMC, 2021)

A Serverless Cloud Integration For Quantum Computing. - Michele Grossi; Luca Crippa; Antonello Aita; Giacomo Bartoli; Vito Sammarco; Eleonora Picca; N. Said; Filippo Tramonto; Federico Mattei (CoRR, 2021)

Quantum Angle Generator for Image Generation. - Florian Rehm; Sofia Vallecorsa; Michele Grossi; Kerstin Borras; Dirk Krücker; Schnake Simon; Alexis-Harilaos Verney-Provatas (SEC, 2022)

Quantum Convolutional Circuits for Earth Observation Image Classification. - Su Yeon Chang; Bertrand Le Saux; Sofia Vallecorsa; Michele Grossi (IGARSS, 2022)

Conditional Born machine for Monte Carlo events generation. - Oriel Kiss; Michele Grossi; Enrique Kajomovitz; Sofia Vallecorsa (CoRR, 2022)

Running the Dual-PQC GAN on noisy simulators and real quantum hardware. - Su Yeon Chang; Edwin Agnew; Elías F. Combarro; Michele Grossi; Steven Herbert; Sofia Vallecorsa (CoRR, 2022)

QuASK - Quantum Advantage Seeker with Kernels. - Francesco Di Marcantonio; Massimiliano Incudini; Davide Tezza; Michele Grossi (CoRR, 2022)

Mixed Quantum-Classical Method For Fraud Detection with Quantum Feature Selection. - Michele Grossi; Noelle Ibrahim; Voica Radescu; Robert Loredo; Kirsten Voigt; Constantin von Altrock; Andreas Rudnik (CoRR, 2022)

The Quantum Path Kernel: a Generalized Quantum Neural Tangent Kernel for Deep Quantum Machine Learning. - Massimiliano Incudini; Michele Grossi; Antonio Mandarino; Sofia Vallecorsa; Alessandra Di Pierro; David Windridge (CoRR, 2022)

A Comparison of Quantum Computer Architectures in Running Fuzzy Inference Engines. - Giovanni Acampora; Michele Grossi; Roberto Schiattarella (FUZZ, 2023)

Continuous Variables Quantum Algorithm for Solving Ordinary Differential Equations. - Alice Barthe; Michele Grossi; Jordi Tura; Vedran Dunjko (QCE, 2023)

Quantum Generative Adversarial Networks For Anomaly Detection In High Energy Physics. - Elie Bermot; Christa Zoufal; Michele Grossi; Julian Schuhmacher; Francesco Tacchino; Sofia Vallecorsa; Ivano Tavernelli (QCE, 2023)

Approximately Equivariant Quantum Neural Network for p4m Group Symmetries in Images. - Su Yeon Chang; Michele Grossi; Bertrand Le Saux; Sofia Vallecorsa (QCE, 2023)

Quantum Fourier Iterative Amplitude Estimation. - Jorge J. Martínez de Lejarza; Michele Grossi; Leandro Cieri; Germán Rodrigo (QCE, 2023)

Classification with Integrated Quantum and Spiking Neural Networks. - Dominic Pasquali; Michele Grossi; Sofia Vallecorsa (QCE, 2023)

Quantum anomaly detection in the latent space of proton collision events at the LHC. - Kinga Anna Wozniak; Vasilis Belis; Ema Puljak; Panagiotis Kl. Barkoutsos; Günther Dissertori; Michele Grossi; Maurizio Pierini; Florentin Reiter; Ivano Tavernelli; Sofia Vallecorsa (CoRR, 2023)

Trainability barriers and opportunities in quantum generative modeling. - Manuel S. Rudolph; Sacha Lerch; Supanut Thanasilp; Oriel Kiss; Sofia Vallecorsa; Michele Grossi; Zoë Holmes (CoRR, 2023)

Assessment of few-hits machine learning classification algorithms for low energy physics in liquid argon detectors. - Matteo Biassoni; Andrea Giachero; Michele Grossi; Daniele Guffanti; Danilo Labranca; Roberto Moretti; Marco Rossi 010; Francesco Terranova; Sofia Vallecorsa (CoRR, 2023)

Hybrid Ground-State Quantum Algorithms based on Neural Schrödinger Forging. - Paulin de Schoulepnikoff; Oriel Kiss; Sofia Vallecorsa; Giuseppe Carleo; Michele Grossi (CoRR, 2023)

Importance sampling for stochastic quantum simulations. - Oriel Kiss; Michele Grossi; Alessandro Roggero (Quantum, 2023)

Quantum Advantage Seeker with Kernels (QuASK): a software framework to speed up the research in quantum machine learning. - Francesco Di Marcantonio; Massimiliano Incudini; Davide Tezza; Michele Grossi (Quantum Mach. Intell., 2023)

Unravelling physics beyond the standard model with classical and quantum anomaly detection. - Julian Schuhmacher; Laura Boggia; Vasilis Belis; Ema Puljak; Michele Grossi; Maurizio Pierini; Sofia Vallecorsa; Francesco Tacchino; Panagiotis Kl. Barkoutsos; Ivano Tavernelli (Mach. Learn. Sci. Technol., 2023)

Resource saving via ensemble techniques for quantum neural networks. - Massimiliano Incudini; Michele Grossi; Andrea Ceschini; Antonio Mandarino; Massimo Panella; Sofia Vallecorsa; David Windridge (Quantum Mach. Intell., 2023)

Symmetry breaking in geometric quantum machine learning in the presence of noise. - Cenk Tüysüz; Su Yeon Chang; Maria Demidik; Karl Jansen; Sofia Vallecorsa; Michele Grossi (CoRR, 2024)

Guided Quantum Compression for Higgs Identification. - Vasilis Belis; Patrick Odagiu; Michele Grossi; Florentin Reiter; Günther Dissertori; Sofia Vallecorsa (CoRR, 2024)

Operational Framework for a Quantum Database. - Carla Rieger; Michele Grossi; Gian Giacomo Guerreschi; Sofia Vallecorsa; Martin Werner (CoRR, 2024)

Quantum-centric supercomputing for materials science: A perspective on challenges and future directions. - Yuri Alexeev; Maximilian Amsler; Marco Antonio Barroca; Sanzio Bassini; Torey Battelle; Daan Camps; David Casanova; Young Jay Choi; Frederic T. Chong; Charles Chung; Christopher Codella; Antonio D. Córcoles; et al. (Future Gener. Comput. Syst., 2024)

Guided quantum compression for high dimensional data classification. - Vasilis Belis; Patrick Odagiu; Michele Grossi; Florentin Reiter; Günther Dissertori; Sofia Vallecorsa (Mach. Learn. Sci. Technol., 2024)

Few-Body Precursors of Topological Frustration. - Federico Raffaele De Filippi; Antonio Francesco Mello; Daniel Sacco Shaikh; Maura Sassetti; Niccolò Traverso Ziani; Michele Grossi (Symmetry, 2024)

Enhanced feature encoding and classification on distributed quantum hardware. - Roberto Moretti; Andrea Giachero; Voica Radescu; Michele Grossi (Mach. Learn. Sci. Technol., 2025)

Expressive equivalence of classical and quantum restricted Boltzmann machines. - Maria Demidik; Cenk Tüysüz; Nico Piatkowski; Michele Grossi; Karl Jansen (CoRR, 2025)

Guided Graph Compression for Quantum Graph Neural Networks. - Mikel Casals; Vasilis Belis; Elías F. Combarro; Eduard Alarcón; Sofia Vallecorsa; Michele Grossi (CoRR, 2025)