Michele Grossi

According to our database, Michele Grossi authored at least 29 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, August, 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, James Cruise, Alberto Di Meglio, Ivan Duran, Thomas Eckl, Sophia E. Economou, Stephan 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

Future Gener. Comput. Syst., 2024

Operational Framework for a Quantum Database.

Carla Rieger, Michele Grossi, Gian Giacomo Guerreschi, Sofia Vallecorsa, Martin Werner

CoRR, 2024

Guided Quantum Compression for Higgs Identification.

Vasilis Belis, Patrick Odagiu, Michele Grossi, Florentin Reiter, Günther Dissertori, Sofia Vallecorsa

CoRR, 2024

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

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., December, 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., December, 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., June, 2023

Importance sampling for stochastic quantum simulations.

Oriel Kiss, Michele Grossi, Alessandro Roggero

Quantum, April, 2023

Hybrid Ground-State Quantum Algorithms based on Neural Schrödinger Forging.

Paulin de Schoulepnikoff, Oriel Kiss, Sofia Vallecorsa, Giuseppe Carleo, Michele Grossi

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, Francesco Terranova, 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

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

Classification with Integrated Quantum and Spiking Neural Networks.

Dominic Pasquali, Michele Grossi, Sofia Vallecorsa

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Quantum Fourier Iterative Amplitude Estimation.

Jorge J. Martínez de Lejarza, Michele Grossi, Leandro Cieri, Germán Rodrigo

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Approximately Equivariant Quantum Neural Network for p4m Group Symmetries in Images.

Su Yeon Chang, Michele Grossi, Bertrand Le Saux, Sofia Vallecorsa

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 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

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Continuous Variables Quantum Algorithm for Solving Ordinary Differential Equations.

Alice Barthe, Michele Grossi, Jordi Tura, Vedran Dunjko

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

A Comparison of Quantum Computer Architectures in Running Fuzzy Inference Engines.

Giovanni Acampora, Michele Grossi, Roberto Schiattarella

Proceedings of the IEEE International Conference on Fuzzy Systems, 2023

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

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

QuASK - Quantum Advantage Seeker with Kernels.

Francesco Di Marcantonio, Massimiliano Incudini, Davide Tezza, Michele Grossi

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

Conditional Born machine for Monte Carlo events generation.

Oriel Kiss, Michele Grossi, Enrique Kajomovitz, Sofia Vallecorsa

CoRR, 2022

Quantum Convolutional Circuits for Earth Observation Image Classification.

Su Yeon Chang, Bertrand Le Saux, Sofia Vallecorsa, Michele Grossi

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Quantum Angle Generator for Image Generation.

Florian Rehm, Sofia Vallecorsa, Michele Grossi, Kerstin Borras, Dirk Krücker, Schnake Simon, Alexis-Harilaos Verney-Provatas

Proceedings of the 7th IEEE/ACM Symposium on Edge Computing, 2022

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

Genetic Algorithms based on Bhattacharyya Distance for Quantum Measurement Error Mitigation.

Giovanni Acampora, Michele Grossi, Autilia Vitiello

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Genetic Algorithms for Error Mitigation in Quantum Measurement.

Giovanni Acampora, Michele Grossi, Autilia Vitiello

Proceedings of the IEEE Congress on Evolutionary Computation, 2021