38 citations · 57 across the 9 of their papers we have counts for
5 papers · 1 filter
Consensus ranking by quantum annealing
Daniele Franch, Enrico Zardini, Enrico Blanzieri +1
Consensus ranking is a technique used to derive a single ranking that best represents the preferences of multiple individuals or systems. It aims to aggregate different rankings in…
Local Binary and Multiclass SVMs Trained on a Quantum Annealer
Enrico Zardini, Amer Delilbasic, Enrico Blanzieri +2
Support vector machines (SVMs) are widely used machine learning models (e.g., in remote sensing), with formulations for both classification and regression tasks. In the last years,…
Ensembles of Quantum Classifiers
Emiliano Tolotti, Enrico Zardini, Enrico Blanzieri +1
In the current era, known as Noisy Intermediate-Scale Quantum (NISQ), encoding large amounts of data in the quantum devices is challenging and the impact of noise significantly aff…
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…