Supervised quantum gate "teaching" for quantum hardware design. - Leonardo Banchi; Nicola Pancotti; Sougato Bose (ESANN, 2016)

Quantum gates between distant qubits via spin-independent scattering. - Leonardo Banchi; Enrico Compagno; Vladimir E. Korepin; Sougato Bose (Quantum, 2017)

Approximation of quantum control correction scheme using deep neural networks. - Mateusz Ostaszewski; J. A. Miszczak; Leonardo Banchi; Przemyslaw Sadowski (Quantum Inf. Process., 2019)

Quantum-enhanced barcode decoding and pattern recognition. - Leonardo Banchi; Quntao Zhuang; Stefano Pirandola (CoRR, 2020)

Ultimate Limits of Thermal Imaging. - Cillian Harney; Leonardo Banchi; Stefano Pirandola (CoRR, 2020)

Generalization in Quantum Machine Learning: a Quantum Information Perspective. - Leonardo Banchi; Jason Luke Pereira; Stefano Pirandola (CoRR, 2021)

Measuring Analytic Gradients of General Quantum Evolution with the Stochastic Parameter Shift Rule. - Leonardo Banchi; Gavin E. Crooks (Quantum, 2021)

Robust quantum classifiers via NISQ adversarial learning. - Leonardo Banchi (Nat. Comput. Sci., 2022)

Online Convex Optimization of Programmable Quantum Computers to Simulate Time-Varying Quantum Channels. - Hari Hara Suthan Chittoor; Osvaldo Simeone; Leonardo Banchi; Stefano Pirandola (ITW, 2023)

Statistical Complexity of Quantum Learning. - Leonardo Banchi; Jason Luke Pereira; Sharu Theresa Jose; Osvaldo Simeone (CoRR, 2023)

Accuracy vs Memory Advantage in the Quantum Simulation of Stochastic Processes. - Leonardo Banchi (CoRR, 2023)

Time-warping invariant quantum recurrent neural networks via quantum-classical adaptive gating. - Ivana Nikoloska; Osvaldo Simeone; Leonardo Banchi; Petar Velickovic (Mach. Learn. Sci. Technol., 2023)

Learning to Classify Quantum Phases of Matter with a Few Measurements. - Mehran Khosrojerdi; Jason Luke Pereira; Alessandro Cuccoli; Leonardo Banchi (CoRR, 2024)

Few measurement shots challenge generalization in learning to classify entanglement. - Leonardo Banchi; Jason Luke Pereira; Marco Zamboni (CoRR, 2024)

Quantum computing and artificial intelligence: status and perspectives. - Giovanni Acampora; Andris Ambainis; Natalia Ares; Leonardo Banchi; Pallavi Bhardwaj; Daniele Binosi; G. Andrew D. Briggs; Tommaso Calarco; Vedran Dunjko; Jens Eisert; Olivier Ezratty; Paul Erker; et al. (CoRR, 2025)

Quantum adversarial learning for kernel methods. - Giuseppe Montalbano; Leonardo Banchi (Quantum Mach. Intell., 2025)

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