38 citations · 144 across the 22 of their papers we have counts for
4 papers · 1 filter
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 general learning scheme for classical and quantum Ising machines
Ludwig Schmid, Enrico Zardini, Davide Pastorello
An Ising machine is any hardware specifically designed for finding the ground state of the Ising model. Relevant examples are coherent Ising machines and quantum annealers. In this…
Scalable quantum neural networks by few quantum resources
Davide Pastorello, Enrico Blanzieri
This paper focuses on the construction of a general parametric model that can be implemented executing multiple swap tests over few qubits and applying a suitable measurement proto…
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…