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2020 – today
- 2024
[j7]Emiliano Tolotti, Enrico Zardini, Enrico Blanzieri, Davide Pastorello:
Ensembles of quantum classifiers. Quantum Inf. Comput. 24(3&4): 181-209 (2024)- [j6]Enrico Zardini, Enrico Blanzieri, Davide Pastorello:
A quantum k-nearest neighbors algorithm based on the Euclidean distance estimation. Quantum Mach. Intell. 6(1): 23 (2024) - [c3]Davide Pastorello
:
Quantum Machine Learning: Perspectives in Cybersecurity. SAFECOMP (Workshops) 2024: 266-274 - [c2]Elisa Botteghi, Davide Pastorello, Daniele Tantari:
Cyber Risk Propagation on Networks. SAFECOMP (Workshops) 2024: 308-315 - [i8]Enrico Zardini, Amer Delilbasic, Enrico Blanzieri, Gabriele Cavallaro, Davide Pastorello:
Local Binary and Multiclass SVMs Trained on a Quantum Annealer. CoRR abs/2403.08584 (2024) - 2023
- [b1]Davide Pastorello:
Concise Guide to Quantum Machine Learning. Springer 2023, ISBN 978-981-19-6896-9, pp. 1-127 - [j5]Enrico Blanzieri, Davide Pastorello, Valter Cavecchia, Alexander S. Rumyantsev, Maria Maltseva:
Evaluating the convergence of tabu enhanced hybrid quantum optimization. Quantum Inf. Process. 22(5): 205 (2023) - [i7]Enrico Zardini, Enrico Blanzieri, Davide Pastorello:
A quantum k-nearest neighbors algorithm based on the Euclidean distance estimation. CoRR abs/2305.04287 (2023) - [i6]Ludwig Schmid, Enrico Zardini, Davide Pastorello:
A general learning scheme for classical and quantum Ising machines. CoRR abs/2310.18411 (2023) - [i5]Emiliano Tolotti, Enrico Zardini, Enrico Blanzieri, Davide Pastorello:
Ensembles of Quantum Classifiers. CoRR abs/2311.09750 (2023) - 2022
- [j4]Andrea Bonomi, Thomas De Min, Enrico Zardini, Enrico Blanzieri, Valter Cavecchia, Davide Pastorello:
Quantum annealing learning search implementations. Quantum Inf. Comput. 22(3&4): 181-208 (2022) - [j3]Enrico Zardini, Massimo Rizzoli, Sebastiano Dissegna, Enrico Blanzieri, Davide Pastorello:
annealer. Quantum Inf. Comput. 22(15&16): 1320-1350 (2022) - [i4]Enrico Zardini, Massimo Rizzoli, Sebastiano Dissegna, Enrico Blanzieri, Davide Pastorello:
Reconstructing Bayesian Networks on a Quantum Annealer. CoRR abs/2204.03526 (2022) - [i3]Enrico Zardini, Enrico Blanzieri, Davide Pastorello:
Implementation and Empirical Evaluation of a Quantum Machine Learning Pipeline for Local Classification. CoRR abs/2205.05333 (2022) - [i2]Enrico Blanzieri, Davide Pastorello, Valter Cavecchia, Alexander S. Rumyantsev, Maria Maltseva:
Evaluating the Convergence of Tabu Enhanced Hybrid Quantum Optimization. CoRR abs/2209.01799 (2022) - [i1]Andrea Bonomi, Thomas De Min, Enrico Zardini, Enrico Blanzieri, Valter Cavecchia, Davide Pastorello:
Quantum Annealing Learning Search Implementations. CoRR abs/2212.11132 (2022) - 2021
- [j2]Davide Pastorello, Enrico Blanzieri, Valter Cavecchia:
Learning adiabatic quantum algorithms over optimization problems. Quantum Mach. Intell. 3(1): 1-19 (2021) - [c1]Davide Pastorello, Enrico Blanzieri:
A Quantum Binary Classifier based on Cosine Similarity. QCE 2021: 477-478
2010 – 2019
- 2019
- [j1]Davide Pastorello, Enrico Blanzieri:
Quantum annealing learning search for solving QUBO problems. Quantum Inf. Process. 18(10): 303 (2019)
Coauthor Index
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