Quantum annealing learning search for solving QUBO problems. - Davide Pastorello; Enrico Blanzieri (Quantum Inf. Process., 2019)

A Quantum Binary Classifier based on Cosine Similarity. - Davide Pastorello; Enrico Blanzieri (QCE, 2021)

Learning adiabatic quantum algorithms over optimization problems. - Davide Pastorello; Enrico Blanzieri; Valter Cavecchia (Quantum Mach. Intell., 2021)

Reconstructing Bayesian Networks on a Quantum Annealer. - Enrico Zardini; Massimo Rizzoli; Sebastiano Dissegna; Enrico Blanzieri; Davide Pastorello (CoRR, 2022)

Implementation and Empirical Evaluation of a Quantum Machine Learning Pipeline for Local Classification. - Enrico Zardini; Enrico Blanzieri; Davide Pastorello (CoRR, 2022)

Quantum annealing learning search implementations. - Andrea Bonomi; Thomas De Min; Enrico Zardini; Enrico Blanzieri; Valter Cavecchia; Davide Pastorello (Quantum Inf. Comput., 2022)

annealer. - Enrico Zardini; Massimo Rizzoli; Sebastiano Dissegna; Enrico Blanzieri; Davide Pastorello (Quantum Inf. Comput., 2022)

Concise Guide to Quantum Machine Learning - Davide Pastorello (Springer, 2023)

A general learning scheme for classical and quantum Ising machines. - Ludwig Schmid; Enrico Zardini; Davide Pastorello (CoRR, 2023)

Evaluating the convergence of tabu enhanced hybrid quantum optimization. - Enrico Blanzieri; Davide Pastorello; Valter Cavecchia; Alexander S. Rumyantsev; Maria Maltseva (Quantum Inf. Process., 2023)

Cyber Risk Propagation on Networks. - Elisa Botteghi; Davide Pastorello; Daniele Tantari (SAFECOMP (Workshops), 2024)

Quantum Machine Learning: Perspectives in Cybersecurity. - Davide Pastorello (SAFECOMP (Workshops), 2024)

Local Binary and Multiclass SVMs Trained on a Quantum Annealer. - Enrico Zardini; Amer Delilbasic; Enrico Blanzieri; Gabriele Cavallaro; Davide Pastorello (CoRR, 2024)

Ensembles of quantum classifiers. - Emiliano Tolotti; Enrico Zardini; Enrico Blanzieri; Davide Pastorello (Quantum Inf. Comput., 2024)

A quantum k-nearest neighbors algorithm based on the Euclidean distance estimation. - Enrico Zardini; Enrico Blanzieri; Davide Pastorello (Quantum Mach. Intell., 2024)

Consensus ranking by quantum annealing. - Daniele Franch; Enrico Zardini; Enrico Blanzieri; Davide Pastorello (CoRR, 2025)

Mean-field limit from general mixtures of experts to quantum neural networks. - Anderson Melchor Hernandez; Davide Pastorello; Giacomo De Palma (CoRR, 2025)

A weighted quantum ensemble of homogeneous quantum classifiers. - Emiliano Tolotti; Enrico Blanzieri; Davide Pastorello (CoRR, 2025)

Enhancing Expressivity of Quantum Neural Networks Based on the SWAP test. - Sebastian Nagies; Emiliano Tolotti; Davide Pastorello; Enrico Blanzieri (CoRR, 2025)