| An artificial neuron implemented on an actual quantum processor F Tacchino, C Macchiavello, D Gerace, D Bajoni npj Quantum Information 5 (1), 1-8, 2019 | 249 | 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 | 139 | 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 | 120 | 2019 |
| Quantum computing models for artificial neural networks S Mangini, F Tacchino, D Gerace, D Bajoni, C Macchiavello Europhysics Letters 134 (1), 10002, 2021 | 95 | 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 | 71 | 2021 |
| Steady state entanglement beyond thermal limits F Tacchino, A Auffèves, MF Santos, D Gerace Physical review letters 120 (6), 063604, 2018 | 71 | 2018 |
| Representation learning via quantum neural tangent kernels J Liu, F Tacchino, JR Glick, L Jiang, A Mezzacapo PRX Quantum 3 (3), 030323, 2022 | 67 | 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 | 66 | 2020 |
| 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 | 52 | 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 | 49 | 2021 |
| Quantum algorithms for quantum dynamics A Miessen, PJ Ollitrault, F Tacchino, I Tavernelli Nature Computational Science 3 (1), 25-37, 2023 | 40 | 2023 |
| Algorithmic error mitigation scheme for current quantum processors P Suchsland, F Tacchino, MH Fischer, T Neupert, PK Barkoutsos, ... Quantum 5, 492, 2021 | 39 | 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 | 36 | 2023 |
| 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 | 35* | 2020 |
| 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 | 31 | 2022 |
| 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 | 30 | 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 | 28 | 2020 |
| Quantum computing for high-energy physics: State of the art and challenges. summary of the qc4hep working group A Di Meglio, K Jansen, I Tavernelli, C Alexandrou, S Arunachalam, ... arXiv preprint arXiv:2307.03236, 2023 | 24 | 2023 |
| 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 | 24 | 2021 |
| Simulating static and dynamic properties of magnetic molecules with prototype quantum computers L Crippa, F Tacchino, M Chizzini, A Aita, M Grossi, A Chiesa, P Santini, ... Magnetochemistry 7 (8), 117, 2021 | 22 | 2021 |
ivano tavernelliIBM Research - Zurich (ita'at'zurich.ibm.com)Verified email at zurich.ibm.com
