Foto del docente

Davide Pastorello

Junior assistant professor (fixed-term)

Department of Mathematics

Academic discipline: MATH-04/A Mathematical Physics

Publications

Schmid, Ludwig; Zardini, Enrico; Pastorello, Davide, A general learning scheme for classical and quantum Ising machines, «SCIPOST PHYSICS CORE», 2024, 7, Article number: 013 , pp. 1 - 21 [Scientific article]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 [Scientific article]Open Access

De Palma, Giacomo; Klein, Tristan; Pastorello, Davide, Classical shadows meet quantum optimal mass transport, «JOURNAL OF MATHEMATICAL PHYSICS», 2024, 65, pp. 1 - 34 [Scientific article]

Botteghi, Elisa; Pastorello, Davide; Tantari, Daniele, Cyber Risk Propagation on Networks, in: Computer Safety, Reliability, and Security, 2024, pp. 308 - 315 (atti di: Safecomp 2024, Firenze, 17 September 2024) [Contribution to conference proceedings]

Emiliano Tolotti, Enrico Zardini, Enrico Blanzieri, Davide Pastorello, Ensembles of quantum classifiers, «QUANTUM INFORMATION & COMPUTATION», 2024, 24, pp. 181 - 209 [Scientific article]Open Access

Zardini, Enrico; Delilbasic, Amer; Blanzieri, Enrico; Cavallaro, Gabriele; Pastorello, Davide, Local Binary and Multiclass SVMs Trained on a Quantum Annealer, «IEEE TRANSACTIONS ON QUANTUM ENGINEERING», 2024, 10.1109/TQE.2024.3475875, Article number: 3103512 , pp. 1 - 12 [Scientific article]Open Access

Pastorello, Davide, Quantum Machine Learning: Perspectives in Cybersecurity, in: Computer Safety, Reliability, and Security, 2024, pp. 266 - 274 (atti di: Safecomp 2024, Firenze, 17 September 2024) [Contribution to conference proceedings]

Pastorello, Davide; Blanzieri, Enrico, Scalable quantum neural networks by few quantum resources, «INTERNATIONAL JOURNAL OF QUANTUM INFORMATION», 2024, 22, Article number: 2450018 , pp. 1 - 16 [Scientific article]

Davide Pastorello, Concise guide to quantum machine learning, Singapore, Springer, 2023, pp. 148 . [Research monograph]

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 [Scientific article]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, Article number: e0287869 , pp. 1 - 28 [Scientific article]Open Access

Enrico Blanzieri; Roberto Leporini; Davide Pastorello, Local Approach to Quantum-inspired Classification, «INTERNATIONAL JOURNAL OF THEORETICAL PHYSICS», 2023, 62, Article number: 4 , pp. 1 - 10 [Scientific article]Open Access

Leporini, Roberto; Pastorello, Davide, An efficient geometric approach to quantum-inspired classifications, «SCIENTIFIC REPORTS», 2022, 12, Article number: 8781 , pp. 1 - 13 [Scientific article]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, 2022, 1552, pp. 214 - 219 (atti di: 24th International Conference on Distributed Computer and Communication Networks, DCCN 2021, Moscow, 2021) [Contribution to conference proceedings]

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 [Scientific article]Open Access

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