| An artificial neuron implemented on an actual quantum processor F Tacchino, C Macchiavello, D Gerace, D Bajoni npj Quantum Information 5 (1), 26, 2019 | 271 | 2019 |
| Quantum computers as universal quantum simulators: state‐of‐the‐art and perspectives F Tacchino, A Chiesa, S Carretta, D Gerace Advanced Quantum Technologies 3 (3), 1900052, 2020 | 159 | 2020 |
| Quantum hardware simulating four-dimensional inelastic neutron scattering A Chiesa, F Tacchino, M Grossi, P Santini, I Tavernelli, D Gerace, ... Nature Physics 15 (5), 455-459, 2019 | 126 | 2019 |
| Quantum computing models for artificial neural networks S Mangini, F Tacchino, D Gerace, D Bajoni, C Macchiavello Europhysics Letters 134 (1), 10002, 2021 | 111 | 2021 |
| Learning to measure: Adaptive informationally complete generalized measurements for quantum algorithms G García-Pérez, MAC Rossi, B Sokolov, F Tacchino, PK Barkoutsos, ... Prx quantum 2 (4), 040342, 2021 | 88 | 2021 |
| Steady state entanglement beyond thermal limits F Tacchino, A Auffèves, MF Santos, D Gerace Physical review letters 120 (6), 063604, 2018 | 76 | 2018 |
| Representation learning via quantum neural tangent kernels J Liu, F Tacchino, JR Glick, L Jiang, A Mezzacapo PRX Quantum 3 (3), 030323, 2022 | 73 | 2022 |
| Quantum implementation of an artificial feed-forward neural network F Tacchino, P Barkoutsos, C Macchiavello, I Tavernelli, D Gerace, ... Quantum Science and Technology 5 (4), 044010, 2020 | 72 | 2020 |
| Quantum Computing for High-Energy Physics: State of the Art and Challenges A Di Meglio, K Jansen, I Tavernelli, C Alexandrou, S Arunachalam, ... PRX Quantum 5 (3), 037001, 2024 | 64* | 2024 |
| Quantum algorithms for quantum dynamics A Miessen, PJ Ollitrault, F Tacchino, I Tavernelli Nature Computational Science 3 (1), 25-37, 2023 | 60 | 2023 |
| Analytic theory for the dynamics of wide quantum neural networks J Liu, K Najafi, K Sharma, F Tacchino, L Jiang, A Mezzacapo Physical Review Letters 130 (15), 150601, 2023 | 59 | 2023 |
| Variational learning for quantum artificial neural networks F Tacchino, S Mangini, PK Barkoutsos, C Macchiavello, D Gerace, ... IEEE Transactions on Quantum Engineering 2, 1-10, 2021 | 54 | 2021 |
| Quantum machine learning framework for virtual screening in drug discovery: a prospective quantum advantage S Mensa, E Sahin, F Tacchino, P Kl Barkoutsos, I Tavernelli Machine Learning: Science and Technology 4 (1), 015023, 2023 | 48 | 2023 |
| Ancilla-free implementation of generalized measurements for qubits embedded in a qudit space LE Fischer, D Miller, F Tacchino, PK Barkoutsos, DJ Egger, I Tavernelli Physical review research 4 (3), 033027, 2022 | 42 | 2022 |
| Algorithmic error mitigation scheme for current quantum processors P Suchsland, F Tacchino, MH Fischer, T Neupert, PK Barkoutsos, ... Quantum 5, 492, 2021 | 41 | 2021 |
| Quantum computing model of an artificial neuron with continuously valued input data S Mangini, F Tacchino, D Gerace, C Macchiavello, D Bajoni Machine Learning: Science and Technology 1 (4), 045008, 2020 | 39* | 2020 |
| A proposal for using molecular spin qudits as quantum simulators of light–matter interactions F Tacchino, A Chiesa, R Sessoli, I Tavernelli, S Carretta Journal of Materials Chemistry C 9 (32), 10266-10275, 2021 | 33 | 2021 |
| Assessing the nature of chiral-induced spin selectivity by magnetic resonance A Chiesa, M Chizzini, E Garlatti, E Salvadori, F Tacchino, P Santini, ... The Journal of Physical Chemistry Letters 12 (27), 6341-6347, 2021 | 31 | 2021 |
| Charging a quantum battery via nonequilibrium heat current F Tacchino, TFF Santos, D Gerace, M Campisi, MF Santos Physical Review E 102 (6), 062133, 2020 | 30 | 2020 |
| Universal qudit gate synthesis for transmons LE Fischer, A Chiesa, F Tacchino, DJ Egger, S Carretta, I Tavernelli PRX Quantum 4 (3), 030327, 2023 | 26* | 2023 |
Ivano TavernelliIBM Quantum, IBM Research - Zurich在 zurich.ibm.com 的电子邮件经过验证
