38 citations · 87 across the 11 of their papers we have counts for
4 papers · 1 filter
A quantum k-nearest neighbors algorithm based on the Euclidean distance estimation
Enrico Zardini, Enrico Blanzieri, Davide Pastorello
The k-nearest neighbors (k-NN) is a basic machine learning (ML) algorithm, and several quantum versions of it, employing different distance metrics, have been presented in the last…
Quantum Annealing Learning Search Implementations
Andrea Bonomi, Thomas De Min, Enrico Zardini +3
This paper presents the details and testing of two implementations (in C++ and Python) of the hybrid quantum-classical algorithm Quantum Annealing Learning Search (QALS) on a D-Wav…
Implementation and Empirical Evaluation of a Quantum Machine Learning Pipeline for Local Classification
Enrico Zardini, Enrico Blanzieri, Davide Pastorello
In the current era, quantum resources are extremely limited, and this makes difficult the usage of quantum machine learning (QML) models. Concerning the supervised tasks, a viable…
Reconstructing Bayesian Networks on a Quantum Annealer
Enrico Zardini, Massimo Rizzoli, Sebastiano Dissegna +2
Bayesian networks are widely used probabilistic graphical models, whose structure is hard to learn starting from the generated data. O'Gorman et al. have proposed an algorithm to e…