Davide Pastorello

According to our database, Davide Pastorello authored at least 13 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Ensembles of quantum classifiers.

Emiliano Tolotti, Enrico Zardini, Enrico Blanzieri, Davide Pastorello

Quantum Inf. Comput., March, 2024

Local Binary and Multiclass SVMs Trained on a Quantum Annealer.

Enrico Zardini, Amer Delilbasic, Enrico Blanzieri, Gabriele Cavallaro, Davide Pastorello

CoRR, 2024

2023

Evaluating the convergence of tabu enhanced hybrid quantum optimization.

Enrico Blanzieri, Davide Pastorello, Valter Cavecchia, Alexander S. Rumyantsev, Maria Maltseva

Quantum Inf. Process., May, 2023

A general learning scheme for classical and quantum Ising machines.

Ludwig Schmid, Enrico Zardini, Davide Pastorello

CoRR, 2023

A quantum k-nearest neighbors algorithm based on the Euclidean distance estimation.

Enrico Zardini, Enrico Blanzieri, Davide Pastorello

CoRR, 2023

Concise Guide to Quantum Machine Learning

Davide Pastorello

Springer, ISBN: 978-981-19-6896-9, 2023

2022

annealer.

Enrico Zardini, Massimo Rizzoli, Sebastiano Dissegna, Enrico Blanzieri, Davide Pastorello

Quantum Inf. Comput., 2022

Quantum annealing learning search implementations.

Andrea Bonomi, Thomas De Min, Enrico Zardini, Enrico Blanzieri, Valter Cavecchia, Davide Pastorello

Quantum Inf. Comput., 2022

Implementation and Empirical Evaluation of a Quantum Machine Learning Pipeline for Local Classification.

Enrico Zardini, Enrico Blanzieri, Davide Pastorello

CoRR, 2022

Reconstructing Bayesian Networks on a Quantum Annealer.

Enrico Zardini, Massimo Rizzoli, Sebastiano Dissegna, Enrico Blanzieri, Davide Pastorello

CoRR, 2022

2021

Learning adiabatic quantum algorithms over optimization problems.

Davide Pastorello, Enrico Blanzieri, Valter Cavecchia

Quantum Mach. Intell., 2021

A Quantum Binary Classifier based on Cosine Similarity.

Davide Pastorello, Enrico Blanzieri

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2021

2019

Quantum annealing learning search for solving QUBO problems.

Davide Pastorello, Enrico Blanzieri

Quantum Inf. Process., 2019