Sfoglia per Autore
Quantum-Inspired Classification Based on Voronoi Tessellation and Pretty-Good Measurements
2022-01-01 Leporini, Roberto; Pastorello, Davide
On Convergence of Tabu-Enhanced Quantum Annealing Algorithm
2022-01-01 Rumyantsev, A. S.; Pastorello, D.; Blanzieri, E.; Cavecchia, V.
An efficient geometric approach to quantum-inspired classifications
2022-01-01 Leporini, Roberto; Pastorello, Davide
Reconstructing Bayesian networks on a quantum annealer
2022-01-01 Zardini, Enrico; Rizzoli, Massimo; Dissegna, Sebastiano; Blanzieri, Enrico; Pastorello, Davide
Quantum annealing learning search implementations
2022-01-01 Bonomi, Andrea; De Min, Thomas; Zardini, Enrico; Blanzieri, Enrico; Cavecchia, Valter; Pastorello, Davide
Implementation and empirical evaluation of a quantum machine learning pipeline for local classification
2023-01-01 Zardini, Enrico; Blanzieri, Enrico; Pastorello, Davide
Evaluating the convergence of tabu enhanced hybrid quantum optimization
2023-01-01 Blanzieri, E.; Pastorello, D.; Cavecchia, V.; Rumyantsev, A.; Maltseva, M.
Local Approach to Quantum-inspired Classification
2023-01-01 Blanzieri, E.; Leporini, R.; Pastorello, D.
A general learning scheme for classical and quantum Ising machines
2024-01-01 Schmid, Ludwig; Zardini, Enrico; Pastorello, Davide
A quantum k-nearest neighbors algorithm based on the Euclidean distance estimation
2024-01-01 Zardini, Enrico; Blanzieri, Enrico; Pastorello, Davide
Ensembles of quantum classifiers
2024-01-01 Tolotti, Emiliano; Zardini, Enrico; Blanzieri, Enrico; Pastorello, Davide
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