Davide Pastorello

25 papers Misc 1Journal 21Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Network Security under Heterogeneous Cyber-Risk Profiles and Contagion.
CoRR
Elisa Botteghi, Martino S. Centonze, Davide Pastorello, Daniele Tantari
2025 J jnl
A weighted quantum ensemble of homogeneous quantum classifiers.
CoRR
Emiliano Tolotti, Enrico Blanzieri, Davide Pastorello
2025 J jnl
A weighted quantum ensemble of homogeneous quantum classifiers.
Quantum Mach. Intell.
Emiliano Tolotti, Enrico Blanzieri, Davide Pastorello
2025 J jnl
Consensus ranking by quantum annealing.
CoRR
Daniele Franch, Enrico Zardini, Enrico Blanzieri, Davide Pastorello
2025 J jnl
Enhancing Expressivity of Quantum Neural Networks Based on the SWAP test.
CoRR
Sebastian Nagies, Emiliano Tolotti, Davide Pastorello, Enrico Blanzieri
2025 J jnl
Mean-field limit from general mixtures of experts to quantum neural networks.
CoRR
Anderson Melchor Hernandez, Davide Pastorello, Giacomo De Palma
2024 J jnl
A quantum k-nearest neighbors algorithm based on the Euclidean distance estimation.
Quantum Mach. Intell.
Enrico Zardini, Enrico Blanzieri, Davide Pastorello
2024 — conf
Cyber Risk Propagation on Networks.
SAFECOMP (Workshops)
Elisa Botteghi, Davide Pastorello, Daniele Tantari
2024 J jnl
Ensembles of quantum classifiers.
Quantum Inf. Comput.
Emiliano Tolotti, Enrico Zardini, Enrico Blanzieri, Davide Pastorello
2024 J jnl
Local Binary and Multiclass SVMs Trained on a Quantum Annealer.
CoRR
Enrico Zardini, Amer Delilbasic, Enrico Blanzieri, Gabriele Cavallaro, Davide Pastorello
2024 — conf
Quantum Machine Learning: Perspectives in Cybersecurity.
SAFECOMP (Workshops)
Davide Pastorello
2023 J jnl
A general learning scheme for classical and quantum Ising machines.
CoRR
Ludwig Schmid, Enrico Zardini, Davide Pastorello
2023 J jnl
A quantum k-nearest neighbors algorithm based on the Euclidean distance estimation.
CoRR
Enrico Zardini, Enrico Blanzieri, Davide Pastorello
2023 — book
Concise Guide to Quantum Machine Learning
Davide Pastorello
2023 J jnl
Ensembles of Quantum Classifiers.
CoRR
Emiliano Tolotti, Enrico Zardini, Enrico Blanzieri, Davide Pastorello
2023 J jnl
Evaluating the convergence of tabu enhanced hybrid quantum optimization.
Quantum Inf. Process.
Enrico Blanzieri, Davide Pastorello, Valter Cavecchia, Alexander S. Rumyantsev, Maria Maltseva
2022 J jnl
Evaluating the Convergence of Tabu Enhanced Hybrid Quantum Optimization.
CoRR
Enrico Blanzieri, Davide Pastorello, Valter Cavecchia, Alexander S. Rumyantsev, Maria Maltseva
2022 J jnl
Implementation and Empirical Evaluation of a Quantum Machine Learning Pipeline for Local Classification.
CoRR
Enrico Zardini, Enrico Blanzieri, Davide Pastorello
2022 J jnl
Quantum Annealing Learning Search Implementations.
CoRR
Andrea Bonomi, Thomas De Min, Enrico Zardini, Enrico Blanzieri, Valter Cavecchia, Davide Pastorello
2022 J jnl
Quantum annealing learning search implementations.
Quantum Inf. Comput.
Andrea Bonomi, Thomas De Min, Enrico Zardini, Enrico Blanzieri, Valter Cavecchia, Davide Pastorello
2022 J jnl
Reconstructing Bayesian Networks on a Quantum Annealer.
CoRR
Enrico Zardini, Massimo Rizzoli, Sebastiano Dissegna, Enrico Blanzieri, Davide Pastorello
2022 J jnl
annealer.
Quantum Inf. Comput.
Enrico Zardini, Massimo Rizzoli, Sebastiano Dissegna, Enrico Blanzieri, Davide Pastorello
2021 Misc conf
A Quantum Binary Classifier based on Cosine Similarity.
QCE
Davide Pastorello, Enrico Blanzieri
2021 J jnl
Learning adiabatic quantum algorithms over optimization problems.
Quantum Mach. Intell.
Davide Pastorello, Enrico Blanzieri, Valter Cavecchia
2019 J jnl
Quantum annealing learning search for solving QUBO problems.
Quantum Inf. Process.
Davide Pastorello, Enrico Blanzieri