Advances in sequential measurement and control of open quantum systems. - Stefano Gherardini; Andrea Smirne; Matthias M. Müller; Filippo Caruso (CoRR, 2018)

Information flow and error scaling for fully-quantum control. - Stefano Gherardini; Matthias M. Müller; Simone Montangero; Tommaso Calarco; Filippo Caruso (CoRR, 2020)

Machine learning approach for quantum non-Markovian noise classification. - Stefano Martina; Stefano Gherardini; Filippo Caruso (CoRR, 2021)

New Trends in Quantum Machine Learning. - Lorenzo Buffoni; Filippo Caruso (CoRR, 2021)

Topology identification of autonomous quantum dynamical networks. - Stefano Gherardini; Henk J. van Waarde; Pietro Tesi; Filippo Caruso (CoRR, 2021)

Experimental quantum pattern recognition in IBMQ and diamond NVs. - Sreetama Das; Jingfu Zhang; Stefano Martina; Dieter Suter; Filippo Caruso (CoRR, 2022)

Learning the noise fingerprint of quantum devices. - Stefano Martina; Lorenzo Buffoni; Stefano Gherardini; Filippo Caruso (Quantum Mach. Intell., 2022)

Quantum reinforcement learning: the maze problem. - Nicola Dalla Pozza; Lorenzo Buffoni; Stefano Martina; Filippo Caruso (Quantum Mach. Intell., 2022)

Noise fingerprints in quantum computers: Machine learning software tools. - Stefano Martina; Stefano Gherardini; Lorenzo Buffoni; Filippo Caruso (Softw. Impacts, 2022)

Deep learning enhanced noise spectroscopy of a spin qubit environment. - Stefano Martina; Santiago Hernández-Gómez; Stefano Gherardini; Filippo Caruso; Nicole Fabbri (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)

Quantum-Noise-driven Generative Diffusion Models. - Marco Parigi; Stefano Martina; Filippo Caruso (CoRR, 2023)

Quantum pattern recognition on real quantum processing units. - Sreetama Das; Jingfu Zhang; Stefano Martina; Dieter Suter; Filippo Caruso (Quantum Mach. Intell., 2023)

Permutation-equivariant quantum convolutional neural networks. - Sreetama Das; Filippo Caruso (CoRR, 2024)

Machine-learning based high-bandwidth magnetic sensing. - Galya Haim; Stefano Martina; John Howell; Nir Bar-Gill; Filippo Caruso (CoRR, 2024)

Investigating layer-selective transfer learning of QAOA parameters for Max-Cut problem. - Francesco Aldo Venturelli; Sreetama Das; Filippo Caruso (CoRR, 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)

The role of data embedding in equivariant quantum convolutional neural networks. - Sreetama Das; Stefano Martina; Filippo Caruso (Quantum Mach. Intell., 2024)

Quantum AI for Alzheimer's disease early screening. - Giacomo Cappiello; Filippo Caruso (Neurocomputing, 2025)

Physics-inspired Generative AI models via real hardware-based noisy quantum diffusion. - Marco Parigi; Stefano Martina; Francesco Aldo Venturelli; Filippo Caruso (CoRR, 2025)

Supervised Quantum Image Processing. - Marco Parigi; Mehran Khosrojerdi; Filippo Caruso; Leonardo Banchi (CoRR, 2025)

Hamiltonian Expressibility for Ansatz Selection in Variational Quantum Algorithms. - Filippo Brozzi; Gloria Turati; Maurizio Ferrari Dacrema; Filippo Caruso; Paolo Cremonesi (CoRR, 2025)