Quantum Machine Learning and Fraud Detection. - Alessandra Di Pierro; Massimiliano Incudini (Protocols, Strands, and Logic, 2021)

Benchmarking Small-Scale Quantum Devices on Computing Graph Edit Distance. - Massimiliano Incudini; Fabio Tarocco; Riccardo Mengoni; Alessandra Di Pierro; Antonio Mandarino (CoRR, 2021)

Facial expression recognition on a quantum computer. - Riccardo Mengoni; Massimiliano Incudini; Alessandra Di Pierro (Quantum Mach. Intell., 2021)

QuASK - Quantum Advantage Seeker with Kernels. - Francesco Di Marcantonio; Massimiliano Incudini; Davide Tezza; Michele Grossi (CoRR, 2022)

Structure Learning of Quantum Embeddings. - Massimiliano Incudini; Francesco Martini; Alessandra Di Pierro (CoRR, 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)

Computing graph edit distance on quantum devices. - Massimiliano Incudini; Fabio Tarocco; Riccardo Mengoni; Alessandra Di Pierro; Antonio Mandarino (Quantum Mach. Intell., 2022)

Higher-Order Topological Kernels via Quantum Computation. - Massimiliano Incudini; Francesco Martini; Alessandra Di Pierro (QCE, 2023)

The maximum-likelihood quantum amplitude estimation algorithm provides the best tradeoff between accuracy and circuit depth among quantum solutions for integral estimation. - Marco Maronese; Massimiliano Incudini; Luca Asproni; Enrico Prati (QCE, 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., 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., 2023)