Michele Grossi

40 papers B 2C 1Misc 6Journal 30Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Kubernetes-Orchestrated Hybrid Quantum-Classical Workflows.
CoRR
Mar Tejedor, Michele Grossi, Cenk Tüysüz, Ricardo Rocha, Sofia Vallecorsa
2026 J jnl
Probabilistic modeling over permutations using quantum computers.
CoRR
Vasilis Belis, Giulio Crognaletti, Matteo Argenton, Michele Grossi, Maria Schuld
2025 J jnl
Enhanced feature encoding and classification on distributed quantum hardware.
Mach. Learn. Sci. Technol.
Roberto Moretti, Andrea Giachero, Voica Radescu, Michele Grossi
2025 J jnl
Expressive equivalence of classical and quantum restricted Boltzmann machines.
CoRR
Maria Demidik, Cenk Tüysüz, Nico Piatkowski, Michele Grossi, Karl Jansen
2025 J jnl
Guided Graph Compression for Quantum Graph Neural Networks.
CoRR
Mikel Casals, Vasilis Belis, Elías F. Combarro, Eduard Alarcón, Sofia Vallecorsa, Michele Grossi
2025 J jnl
Guided graph compression for quantum graph neural networks.
Mach. Learn. Sci. Technol.
Mikel Casals, Vasilis Belis, Elías F. Combarro, Eduard Alarcón, Sofia Vallecorsa, Michele Grossi
2025 J jnl
Learning Reduced Representations for Quantum Classifiers.
CoRR
Patrick Odagiu, Vasilis Belis, Lennart Schulze, Panagiotis Kl. Barkoutsos, Michele Grossi, Florentin Reiter, Günther Dissertori, Ivano Tavernelli, Sofia Vallecorsa
2025 J jnl
Learning reduced representations for quantum classifiers.
Quantum Mach. Intell.
Patrick Odagiu, Vasilis Belis, Lennart Schulze, Panagiotis Kl. Barkoutsos, Michele Grossi, Florentin Reiter, Günther Dissertori, Ivano Tavernelli, Sofia Vallecorsa
2024 J jnl
Few-Body Precursors of Topological Frustration.
Symmetry
Federico Raffaele De Filippi, Antonio Francesco Mello, Daniel Sacco Shaikh, Maura Sassetti, Niccolò Traverso Ziani, Michele Grossi
2024 J jnl
Guided Quantum Compression for Higgs Identification.
CoRR
Vasilis Belis, Patrick Odagiu, Michele Grossi, Florentin Reiter, Günther Dissertori, Sofia Vallecorsa
2024 J jnl
Guided quantum compression for high dimensional data classification.
Mach. Learn. Sci. Technol.
Vasilis Belis, Patrick Odagiu, Michele Grossi, Florentin Reiter, Günther Dissertori, Sofia Vallecorsa
2024 J jnl
Operational Framework for a Quantum Database.
CoRR
Carla Rieger, Michele Grossi, Gian Giacomo Guerreschi, Sofia Vallecorsa, Martin Werner
2024 J jnl
Quantum-centric supercomputing for materials science: A perspective on challenges and future directions.
Future Gener. Comput. Syst.
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, James Cruise, Alberto Di Meglio, Ivan Duran, Thomas Eckl, Sophia E. Economou, Stephan J. Eidenbenz, Bruce Elmegreen, Clyde Fare, Ismael Faro, Cristina Sanz Fernández, Rodrigo Neumann Barros Ferreira, Keisuke Fuji, Bryce Fuller, Laura Gagliardi, Giulia Galli, Jennifer R. Glick, Isacco Gobbi, Pranav Gokhale, Salvador de la Puente Gonzalez, Johannes Greiner, Bill Gropp, Michele Grossi, Emanuel Gull, Burns Healy, Matthew R. Hermes, Benchen Huang, Travis S. Humble, Nobuyasu Ito, Artur F. Izmaylov, Ali Javadi-Abhari, Douglas M. Jennewein, Shantenu Jha, Liang Jiang, Barbara Jones, Wibe Albert de Jong, Petar Jurcevic, William M. Kirby, Stefan Kister, Masahiro Kitagawa, Joel Klassen, Katherine Klymko, Kwangwon Koh, Masaaki Kondo, Doga Murat Kürkçüoglu, Krzysztof Kurowski, Teodoro Laino, Ryan Landfield, Matthew L. Leininger, Vicente Leyton-Ortega, Ang Li, Meifeng Lin, Junyu Liu, Nicolás Lorente, André Luckow, Simon Martiel, Francisco Martín-Fernández, Margaret Martonosi, Claire Marvinney, Arcesio Castañeda Medina, Dirk Merten, Antonio Mezzacapo, Kristel Michielsen, Abhishek Mitra, Tushar Mittal, Kyungsun Moon, Joel Moore, Sarah Mostame, Mario Motta, Young-Hye Na, Yunseong Nam, Prineha Narang, Yu-ya Ohnishi, Daniele Ottaviani, Matthew Otten, Scott Pakin, Vincent R. Pascuzzi, Edwin Pednault, Tomasz Piontek, Jed Pitera, Patrick Rall, Gokul Subramanian Ravi, Niall Robertson, Matteo A. C. Rossi, Piotr Rydlichowski, Hoon Ryu, Georgy Samsonidze, Mitsuhisa Sato, Nishant Saurabh, Vidushi Sharma, Kunal Sharma, Soyoung Shin, George Slessman, Mathias Steiner, Iskandar Sitdikov, In-Saeng Suh, Eric D. Switzer, Wei Tang, Joel Thompson, Synge Todo, Minh C. Tran, Dimitar Trenev, Christian Trott, Huan-Hsin Tseng, Norm M. Tubman, Esin Tureci, David García Valiñas, Sofia Vallecorsa, Christopher Wever, Konrad Wojciechowski, Xiaodi Wu, Shinjae Yoo, Nobuyuki Yoshioka, Victor Wen-zhe Yu, Seiji Yunoki, Sergiy Zhuk, Dmitry Zubarev
2024 J jnl
Symmetry breaking in geometric quantum machine learning in the presence of noise.
CoRR
Cenk Tüysüz, Su Yeon Chang, Maria Demidik, Karl Jansen, Sofia Vallecorsa, Michele Grossi
2023 — conf
A Comparison of Quantum Computer Architectures in Running Fuzzy Inference Engines.
FUZZ
Giovanni Acampora, Michele Grossi, Roberto Schiattarella
2023 Misc conf
Approximately Equivariant Quantum Neural Network for p4m Group Symmetries in Images.
QCE
Su Yeon Chang, Michele Grossi, Bertrand Le Saux, Sofia Vallecorsa
2023 J jnl
Approximately Equivariant Quantum Neural Network for p4m Group Symmetries in Images.
CoRR
Su Yeon Chang, Michele Grossi, Bertrand Le Saux, Sofia Vallecorsa
2023 J jnl
Assessment of few-hits machine learning classification algorithms for low energy physics in liquid argon detectors.
CoRR
Matteo Biassoni, Andrea Giachero, Michele Grossi, Daniele Guffanti, Danilo Labranca, Roberto Moretti, Marco Rossi, Francesco Terranova, Sofia Vallecorsa
2023 Misc conf
Classification with Integrated Quantum and Spiking Neural Networks.
QCE
Dominic Pasquali, Michele Grossi, Sofia Vallecorsa
2023 Misc conf
Continuous Variables Quantum Algorithm for Solving Ordinary Differential Equations.
QCE
Alice Barthe, Michele Grossi, Jordi Tura, Vedran Dunjko
2023 J jnl
Hybrid Ground-State Quantum Algorithms based on Neural Schrödinger Forging.
CoRR
Paulin de Schoulepnikoff, Oriel Kiss, Sofia Vallecorsa, Giuseppe Carleo, Michele Grossi
2023 J jnl
Importance sampling for stochastic quantum simulations.
Quantum
Oriel Kiss, Michele Grossi, Alessandro Roggero
2023 J jnl
Quantum Advantage Seeker with Kernels (QuASK): a software framework to speed up the research in quantum machine learning.
Quantum Mach. Intell.
Francesco Di Marcantonio, Massimiliano Incudini, Davide Tezza, Michele Grossi
2023 Misc conf
Quantum Fourier Iterative Amplitude Estimation.
QCE
Jorge J. Martínez de Lejarza, Michele Grossi, Leandro Cieri, Germán Rodrigo
2023 Misc conf
Quantum Generative Adversarial Networks For Anomaly Detection In High Energy Physics.
QCE
Elie Bermot, Christa Zoufal, Michele Grossi, Julian Schuhmacher, Francesco Tacchino, Sofia Vallecorsa, Ivano Tavernelli
2023 J jnl
Quantum anomaly detection in the latent space of proton collision events at the LHC.
CoRR
Kinga Anna Wozniak, Vasilis Belis, Ema Puljak, Panagiotis Kl. Barkoutsos, Günther Dissertori, Michele Grossi, Maurizio Pierini, Florentin Reiter, Ivano Tavernelli, Sofia Vallecorsa
2023 J jnl
Resource saving via ensemble techniques for quantum neural networks.
Quantum Mach. Intell.
Massimiliano Incudini, Michele Grossi, Andrea Ceschini, Antonio Mandarino, Massimo Panella, Sofia Vallecorsa, David Windridge
2023 J jnl
Trainability barriers and opportunities in quantum generative modeling.
CoRR
Manuel S. Rudolph, Sacha Lerch, Supanut Thanasilp, Oriel Kiss, Sofia Vallecorsa, Michele Grossi, Zoë Holmes
2023 J jnl
Unravelling physics beyond the standard model with classical and quantum anomaly detection.
CoRR
Julian Schuhmacher, Laura Boggia, Vasilis Belis, Ema Puljak, Michele Grossi, Maurizio Pierini, Sofia Vallecorsa, Francesco Tacchino, Panagiotis Kl. Barkoutsos, Ivano Tavernelli
2023 J jnl
Unravelling physics beyond the standard model with classical and quantum anomaly detection.
Mach. Learn. Sci. Technol.
Julian Schuhmacher, Laura Boggia, Vasilis Belis, Ema Puljak, Michele Grossi, Maurizio Pierini, Sofia Vallecorsa, Francesco Tacchino, Panagiotis Kl. Barkoutsos, Ivano Tavernelli
2022 J jnl
Conditional Born machine for Monte Carlo events generation.
CoRR
Oriel Kiss, Michele Grossi, Enrique Kajomovitz, Sofia Vallecorsa
2022 J jnl
Mixed Quantum-Classical Method For Fraud Detection with Quantum Feature Selection.
CoRR
Michele Grossi, Noelle Ibrahim, Voica Radescu, Robert Loredo, Kirsten Voigt, Constantin von Altrock, Andreas Rudnik
2022 J jnl
QuASK - Quantum Advantage Seeker with Kernels.
CoRR
Francesco Di Marcantonio, Massimiliano Incudini, Davide Tezza, Michele Grossi
2022 Misc conf
Quantum Angle Generator for Image Generation.
SEC
Florian Rehm, Sofia Vallecorsa, Michele Grossi, Kerstin Borras, Dirk Krücker, Schnake Simon, Alexis-Harilaos Verney-Provatas
2022 C conf
Quantum Convolutional Circuits for Earth Observation Image Classification.
IGARSS
Su Yeon Chang, Bertrand Le Saux, Sofia Vallecorsa, Michele Grossi
2022 J jnl
Running the Dual-PQC GAN on noisy simulators and real quantum hardware.
CoRR
Su Yeon Chang, Edwin Agnew, Elías F. Combarro, Michele Grossi, Steven Herbert, Sofia Vallecorsa
2022 J jnl
The Quantum Path Kernel: a Generalized Quantum Neural Tangent Kernel for Deep Quantum Machine Learning.
CoRR
Massimiliano Incudini, Michele Grossi, Antonio Mandarino, Sofia Vallecorsa, Alessandra Di Pierro, David Windridge
2021 J jnl
A Serverless Cloud Integration For Quantum Computing.
CoRR
Michele Grossi, Luca Crippa, Antonello Aita, Giacomo Bartoli, Vito Sammarco, Eleonora Picca, N. Said, Filippo Tramonto, Federico Mattei
2021 B conf
Genetic Algorithms based on Bhattacharyya Distance for Quantum Measurement Error Mitigation.
SMC
Giovanni Acampora, Michele Grossi, Autilia Vitiello
2021 B conf
Genetic Algorithms for Error Mitigation in Quantum Measurement.
CEC
Giovanni Acampora, Michele Grossi, Autilia Vitiello