Davide Pastorello

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 16

Top Topics

Nearest Neighbor

Optimization Problems

Decision Stumps

Trained Classifiers

Top Venues

Quantum Inf. Comput.

Quantum Mach. Intell.

Quantum Inf. Process.

Publications

Enrico Zardini, Amer Delilbasic, Enrico Blanzieri, Gabriele Cavallaro, Davide Pastorello
Local Binary and Multiclass SVMs Trained on a Quantum Annealer. CoRR (2024)
Emiliano Tolotti, Enrico Zardini, Enrico Blanzieri, Davide Pastorello
Ensembles of quantum classifiers. Quantum Inf. Comput. 24 (3&4) (2024)
Enrico Zardini, Enrico Blanzieri, Davide Pastorello
A quantum k-nearest neighbors algorithm based on the Euclidean distance estimation. Quantum Mach. Intell. 6 (1) (2024)
Ludwig Schmid, Enrico Zardini, Davide Pastorello
A general learning scheme for classical and quantum Ising machines. CoRR (2023)
Enrico Blanzieri, Davide Pastorello, Valter Cavecchia, Alexander S. Rumyantsev, Mariia Maltseva
Evaluating the convergence of tabu enhanced hybrid quantum optimization. Quantum Inf. Process. 22 (5) (2023)
Enrico Zardini, Enrico Blanzieri, Davide Pastorello
A quantum k-nearest neighbors algorithm based on the Euclidean distance estimation. CoRR (2023)
Emiliano Tolotti, Enrico Zardini, Enrico Blanzieri, Davide Pastorello
Ensembles of Quantum Classifiers. CoRR (2023)
Enrico Zardini, Massimo Rizzoli, Sebastiano Dissegna, Enrico Blanzieri, Davide Pastorello
Reconstructing Bayesian Networks on a Quantum Annealer. CoRR (2022)
Enrico Zardini, Enrico Blanzieri, Davide Pastorello
Implementation and Empirical Evaluation of a Quantum Machine Learning Pipeline for Local Classification. CoRR (2022)
Enrico Zardini, Massimo Rizzoli, Sebastiano Dissegna, Enrico Blanzieri, Davide Pastorello
annealer. Quantum Inf. Comput. 22 (15&16) (2022)
Andrea Bonomi, Thomas De Min, Enrico Zardini, Enrico Blanzieri, Valter Cavecchia, Davide Pastorello
Quantum Annealing Learning Search Implementations. CoRR (2022)
Enrico Blanzieri, Davide Pastorello, Valter Cavecchia, Alexander Rumyantsev, Maria Maltseva
Evaluating the Convergence of Tabu Enhanced Hybrid Quantum Optimization. CoRR (2022)
Andrea Bonomi, Thomas De Min, Enrico Zardini, Enrico Blanzieri, Valter Cavecchia, Davide Pastorello
Quantum annealing learning search implementations. Quantum Inf. Comput. 22 (3&4) (2022)
Davide Pastorello, Enrico Blanzieri
A Quantum Binary Classifier based on Cosine Similarity. QCE (2021)
Davide Pastorello, Enrico Blanzieri, Valter Cavecchia
Learning adiabatic quantum algorithms over optimization problems. Quantum Mach. Intell. 3 (1) (2021)
Davide Pastorello, Enrico Blanzieri
Quantum annealing learning search for solving QUBO problems. Quantum Inf. Process. 18 (10) (2019)