Filippo Caruso

According to our database, Filippo Caruso authored at least 24 papers between 2018 and 2026.

Collaborative distances:

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

2026

From AI security to ethical AI security: a comparative risk-mitigation framework for classical and hybrid AI governance.

Ludovica Ilari, Simona Tiribelli, Filippo Caruso

AI Ethics, February, 2026

2025

Hamiltonian Expressibility for Ansatz Selection in Variational Quantum Algorithms.

Filippo Brozzi, Gloria Turati, Maurizio Ferrari Dacrema, Filippo Caruso, Paolo Cremonesi

CoRR, July, 2025

Supervised Quantum Image Processing.

Marco Parigi, Mehran Khosrojerdi, Filippo Caruso, Leonardo Banchi

CoRR, July, 2025

Physics-inspired Generative AI models via real hardware-based noisy quantum diffusion.

Marco Parigi, Stefano Martina, Francesco Aldo Venturelli, Filippo Caruso

CoRR, May, 2025

Machine-learning based high-bandwidth magnetic sensing.

Galya Haim, Stefano Martina, John Howell, Nir Bar-Gill, Filippo Caruso

Mach. Learn. Sci. Technol., 2025

Quantum AI for Alzheimer's disease early screening.

Giacomo Cappiello, Filippo Caruso

Neurocomputing, 2025

Efficient Learning of Arbitrary Single-Copy Quantum States.

Shibdas Roy, Filippo Caruso, Srushti Patil, Anumita Mukhopadhyay

Proceedings of the 2025 IEEE International Conference on Quantum Control, 2025

2024

The role of data embedding in equivariant quantum convolutional neural networks.

Sreetama Das, Stefano Martina, Filippo Caruso

Quantum Mach. Intell., December, 2024

Transfer learning with generative models for object detection on limited datasets.

Matteo Paiano, Stefano Martina, Carlotta Giannelli, Filippo Caruso

Mach. Learn. Sci. Technol., 2024

Investigating layer-selective transfer learning of QAOA parameters for Max-Cut problem.

Francesco Aldo Venturelli, Sreetama Das, Filippo Caruso

CoRR, 2024

Permutation-equivariant quantum convolutional neural networks.

Sreetama Das, Filippo Caruso

CoRR, 2024

2023

Deep learning enhanced noise spectroscopy of a spin qubit environment.

Stefano Martina, Santiago Hernández-Gómez, Stefano Gherardini, Filippo Caruso, Nicole Fabbri

Mach. Learn. Sci. Technol., June, 2023

Quantum pattern recognition on real quantum processing units.

Sreetama Das, Jingfu Zhang, Stefano Martina, Dieter Suter, Filippo Caruso

Quantum Mach. Intell., 2023

Quantum-Noise-driven Generative Diffusion Models.

Marco Parigi, Stefano Martina, Filippo Caruso

CoRR, 2023

Machine-learning based noise characterization and correction on neutral atoms NISQ devices.

Ettore Canonici, Stefano Martina, Riccardo Mengoni, Daniele Ottaviani, Filippo Caruso

CoRR, 2023

2022

Noise fingerprints in quantum computers: Machine learning software tools.

Stefano Martina, Stefano Gherardini, Lorenzo Buffoni, Filippo Caruso

Softw. Impacts, 2022

Quantum reinforcement learning: the maze problem.

Nicola Dalla Pozza, Lorenzo Buffoni, Stefano Martina, Filippo Caruso

Quantum Mach. Intell., 2022

Learning the noise fingerprint of quantum devices.

Stefano Martina, Lorenzo Buffoni, Stefano Gherardini, Filippo Caruso

Quantum Mach. Intell., 2022

Experimental quantum pattern recognition in IBMQ and diamond NVs.

Sreetama Das, Jingfu Zhang, Stefano Martina, Dieter Suter, Filippo Caruso

CoRR, 2022

2021

Topology identification of autonomous quantum dynamical networks.

Stefano Gherardini, Henk J. van Waarde, Pietro Tesi, Filippo Caruso

CoRR, 2021

New Trends in Quantum Machine Learning.

Lorenzo Buffoni, Filippo Caruso

CoRR, 2021

Machine learning approach for quantum non-Markovian noise classification.

Stefano Martina, Stefano Gherardini, Filippo Caruso

CoRR, 2021

2020

Information flow and error scaling for fully-quantum control.

Stefano Gherardini, Matthias M. Müller, Simone Montangero, Tommaso Calarco, Filippo Caruso

CoRR, 2020

2018

Advances in sequential measurement and control of open quantum systems.

Stefano Gherardini, Andrea Smirne, Matthias M. Müller, Filippo Caruso

CoRR, 2018