Schmid, Ludwig; Zardini, Enrico; Pastorello, Davide, A general learning scheme for classical and quantum Ising machines, «SCIPOST PHYSICS CORE», 2024, 7, pp. 1 - 21 [articolo]Open Access
Zardini, Enrico; Blanzieri, Enrico; Pastorello, Davide, A quantum k-nearest neighbors algorithm based on the Euclidean distance estimation, «QUANTUM MACHINE INTELLIGENCE», 2024, 6, Article number: 23, pp. 1 - 22 [articolo]
Emiliano Tolotti, Enrico Zardini, Enrico Blanzieri, Davide Pastorello, Ensembles of quantum classifiers, «QUANTUM INFORMATION & COMPUTATION», 2024, 24, pp. 181 - 209 [articolo]
Pastorello, Davide; Blanzieri, Enrico, Scalable quantum neural networks by few quantum resources, «INTERNATIONAL JOURNAL OF QUANTUM INFORMATION», 2024, 0, Article number: 2450018, pp. 1 - 16 [articolo]
Davide Pastorello, Concise guide to quantum machine learning, Singapore, Springer, 2023, pp. 148 . [libro]
Blanzieri, Enrico; Pastorello, Davide; Cavecchia, Valter; Rumyantsev, Alexander; Maltseva, Mariia, Evaluating the convergence of tabu enhanced hybrid quantum optimization, «QUANTUM INFORMATION PROCESSING», 2023, 22, Article number: 205, pp. 1 - 17 [articolo]Open Access
Zardini, Enrico; Blanzieri, Enrico; Pastorello, Davide, Implementation and empirical evaluation of a quantum machine learning pipeline for local classification, «PLOS ONE», 2023, 18, pp. 1 - 28 [articolo]Open Access
Leporini, Roberto; Pastorello, Davide, An efficient geometric approach to quantum-inspired classifications, «SCIENTIFIC REPORTS», 2022, 12, Article number: 8781, pp. 1 - 13 [articolo]Open Access
Enrico Blanzieri; Roberto Leporini; Davide Pastorello, Local Approach to Quantum-inspired Classification, «INTERNATIONAL JOURNAL OF THEORETICAL PHYSICS», 2022, 62, Article number: 4, pp. 1 - 10 [articolo]Open Access
Rumyantsev A.S.; Pastorello D.; Blanzieri E.; Cavecchia V., On Convergence of Tabu-Enhanced Quantum Annealing Algorithm, in: Communications in Computer and Information Science, Springer Science and Business Media Deutschland GmbH, «COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE», 2022, 1552, pp. 214 - 219 (atti di: 24th International Conference on Distributed Computer and Communication Networks, DCCN 2021, Moscow, 2021) [Contributo in Atti di convegno]
Bonomi, Andrea; De Min, Thomas; Zardini, Enrico; Blanzieri, Enrico; Cavecchia, Valter; Pastorello, Davide, Quantum annealing learning search implementations, «QUANTUM INFORMATION & COMPUTATION», 2022, 22, pp. 181 - 208 [articolo]
Leporini R.; Pastorello D., Quantum-Inspired Classification Based on Voronoi Tessellation and Pretty-Good Measurements, «QUANTUM REPORTS», 2022, 4, pp. 434 - 441 [articolo]Open Access
Zardini E.; Rizzoli M.; Dissegna S.; Blanzieri E.; Pastorello D., RECONSTRUCTING BAYESIAN NETWORKS ON A QUANTUM ANNEALER, «QUANTUM INFORMATION & COMPUTATION», 2022, 22, pp. 1320 - 1350 [articolo]
Pastorello D.; Blanzieri E., A Quantum Binary Classifier based on Cosine Similarity, in: Proceedings - 2021 IEEE International Conference on Quantum Computing and Engineering, QCE 2021, 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA, Institute of Electrical and Electronics Engineers Inc., «IEEE INTERNATIONAL CONFERENCE ON QUANTUM COMPUTING AND ENGINEERING», 2021, pp. 477 - 478 (atti di: 2nd IEEE International Conference on Quantum Computing and Engineering, QCE 2021, USA, 17-22 Oct. 2021) [Contributo in Atti di convegno]Open Access
Pastorello D.; Blanzieri E.; Cavecchia V., Learning adiabatic quantum algorithms over optimization problems, «QUANTUM MACHINE INTELLIGENCE», 2021, 3, Article number: 2, pp. 3:2-1 - 3:2-19 [articolo]
