Differenze

Queste sono le differenze tra la revisione selezionata e la versione attuale della pagina.

--- calcoloscientifico:risulati [05/03/2026 14:14] – fausto.pagani
+++ calcoloscientifico:risulati [06/08/2026 10:15] (versione attuale) – federico.prost
@@ Linea 10: / Linea 10: @@
 ===  2026===
+  * Ni, G., Ferrari, D., Ho, L., Amoretti, M. Advanced scheduling strategies for distributed quantum computing jobs, Computer Networks, vol. 288, article 112622 (2026) https://doi.org/10.1016/j.comnet.2026.112622
+  * Belli, G., Mordacci, M., Amoretti, M., A Novel Single-Layer Quantum Neural Network for Approximate SRBB-Based Unitary Synthesis, Quantum Journal, 10, 2034 (2026) https://doi.org/10.22331/q-2026-03-20-2034
+  * Bandini, M., Ferrari, D., Carretta, S., Amoretti, M. Optimized Compilation for Distributed Quantum Computing, IEEE Access, 14, 97220-97231 (2026) https://doi.org/10.1109/ACCESS.2026.3706203
+  * Belli, G., Amoretti, M. Exact Quantum State Preparation with the Standard Recursive Block Basis, Proc. of the 18th International Conference on Reversible Computation, Turin, Italy (2026) https://doi.org/10.1007/978-3-032-30839-9_4
+  * Marco Tommaso Barreca, Francesco Di Maiolo; Light-controlled qubit coupling in organic diradicals linked by an MR-TADF emitter. J. Mater. Chem. C 2026; https://doi.org/10.1039/d6tc01608a
   * Barreca, M. T.; Di Maiolo, F. Spin Coupling in Symmetric and Asymmetric Allyl and Phenalenyl Diradicals Bridged by an Inverted Singlet-Triplet System, J. Phys. Chem. A, (2026), DOI:10.1021/acs.jpca.6c00123.
   * Garrido-Rodríguez, Sara and Poronik, Yevgen M. and Delledonne, Andrea and Pescina, Silvia and Vargas Nadal, Guillem and Morla-Folch, Judit and Racchi, Ottavia and Di Maiolo, Francesco and Ventosa, Nora and Sissa, Cristina and Gryko, Daniel T. and Köber, Mariana, Stable ultrabright nanoprobes for two-photon excitation microscopy based on octupolar merocyanine-loaded nanovesicles,  J. Mater. Chem. B, 2026,14, 2594-261.
@@ Linea 17: / Linea 22: @@
 ===  2025===
+  * Belli, G., Mordacci, M., Amoretti, M., SRBB-based Quantum State Preparation, Proc. of the 22nd ACM International Conference on Computing Frontiers, Cagliari, Italy (2025) https://doi.org/10.1145/3719276.3725183
+  * Belli, G., Bersellini, A., Amoretti, M. Implementation of an Optimally Bounded Algorithm for Quantum State Preparation, Proc. of the 17th International Conference on Reversible Computation, Odense, Denmark (2025) https://doi.org/10.1007/978-3-031-97063-4_4
+  * Mordacci, M, Amoretti, M. Impact of Single Rotations and Entanglement Topologies in Quantum Neural Networks, Proc. of the 2025 IEEE International Conference on Quantum Computing and Engineering (QCE), Albuquerque, New Mexico, USA (2025) https://doi.org/10.1109/QCE65121.2025.10342
+  * Mordacci, M, Amoretti, M. Training Variational Quantum Circuits Using Particle Swarm Optimization, Proc. of the 2025 IEEE International Conference on Quantum Computing and Engineering (QCE), Albuquerque, New Mexico, USA (2025) https://doi.org/10.1109/QCE65121.2025.10438
+  * Mordacci, M., Pandey, M., Santini, P., Amoretti, M. Triplet Loss Based Quantum Encoding for Class Separability, Proc. of AIQxQIA 2025: International Workshop on AI for Quantum and Quantum for AI | co-located with ECAI 2025, Bologna, Italy (2025) https://ceur-ws.org/Vol-4153/paper18.pdf
   * Lorenzo Savi, Marco Tommaso Barreca, Matteo Bedogni, and Francesco Di Maiolo, Journal of Chemical Theory and Computation (2025) DOI: 10.1021/acs.jctc.5c01571
   * Marco Malatesta ,Carlo De Rito,Francesca Gasparinia, Giovanni Merici, Davide Dell’Accantera, Giacomo Quilici, Francesco Sansone,and Riccardo Percudani; C11orf54 catalyzes L- xylulose formation in human metabolism: PNAS, July 30, 2025122 (31) e2506597122
@@ Linea 23: / Linea 33: @@
 ===  2024===
+  * Bertuzzi, A., Ferrari, D., Manzalini, A., Amoretti, M. Evaluation of Quantum and Hybrid Solvers for Combinatorial Optimization, Proc. of the 21st ACM International Conference on Computing Frontiers, Ischia, Italy (2024) https://doi.org/10.1145/3649153.3649205
+  * Mordacci, M., Ferrari, D., Amoretti, M. Multi-Class Quantum Convolutional Neural Networks, Proc. of the 2024 Workshop on Quantum Search and Information Retrieval (QUASAR ’24), Pisa, Italy (2024) https://doi.org/10.1145/3660318.3660326
   * Matteo Dubbini, Federico Bonvini, Lorenzo Savi, and Francesco Di Maiolo; Turning on Organic Radical Emitters; The Journal of Physical Chemistry C; DOI: 10.1021/acs.jpcc.4c04362
   * Andrea Landi, D. K. Andrea Phan Huu, and Anna Painelli; From the Fermi Golden Rule to Open Quantum Systems: Basic Concepts on Non-radiative Rates The Journal of Physical Chemistry C; DOI: 10.1021/acs.jpcc.4c05567
@@ Linea 34: / Linea 46: @@
 ===  2023 ===
+  * Ferrari, D., Carretta, S., Amoretti, M. A Modular Quantum Compilation Framework for Distributed Quantum Computing, IEEE Trans. on Quantum Engineering, vol.4 (2023) https://doi.org/10.1109/TQE.2023.3303935
   * Arafet K, Scalvini L, Galvani F, Martí S, Moliner V, Mor M, Lodola A. Mechanistic modeling of Lys745 sulfonylation in EGFR C797S reveals chemical determinants for inhibitor activity and discriminates reversible from irreversible agents. J. Chem. Inf. Model. 2023 63, 1301-1312.
   * Galvani F, Pala D, Cuzzolin A, Scalvini L, Lodola A, Mor M, Rizzi A. Unbinding kinetics of muscarinic M3 receptor antagonists explained by metadynamics simulations. J. Chem. Inf. Model. 2023 63, 2842-2856.
@@ Linea 56: / Linea 69: @@
 === 2022 ===
+  * Ferrari, D., Amoretti, M. Noise-adaptive quantum compilation strategies evaluated with application-motivated benchmarks, Proc. of the 19th ACM International Conference on Computing Frontiers, Turin, Italy (2022) https://doi.org/10.1145/3528416.3530250
   * Elisi GM, Scalvini L, Lodola A, Mor M, Rivara S. Free-energy simulations support a lipophilic binding route for melatonin receptors. J. Chem. Inf. Model. 2022 62, 210-222.
   * Galvani F, Scalvini L, Rivara S, Lodola A, Mor M. Mechanistic modeling of monoglyceride lipase covalent modification elucidates the role of leaving group expulsion and discriminates inhibitors with high and low potency. J. Chem. Inf. Model. 2022 62, 2771-2787.