| Machine learning enables completely automatic tuning of a quantum device faster than human experts H Moon, DT Lennon, J Kirkpatrick, NM van Esbroeck, LC Camenzind, ... Nature communications 11 (1), 4161, 2020 | 83 | 2020 |
| Germanium quantum-well Josephson field-effect transistors and interferometers F Vigneau, R Mizokuchi, DC Zanuz, X Huang, S Tan, R Maurand, S Frolov, ... Nano letters 19 (2), 1023-1027, 2019 | 79 | 2019 |
| Probing quantum devices with radio-frequency reflectometry F Vigneau, F Fedele, A Chatterjee, D Reilly, F Kuemmeth, ... Applied Physics Reviews 10 (2), 2023 | 74 | 2023 |
| Ballistic One-Dimensional Holes with Strong g-Factor Anisotropy in Germanium R Mizokuchi, R Maurand, F Vigneau, M Myronov, S De Franceschi Nano letters 18 (8), 4861-4865, 2018 | 41 | 2018 |
| Quantum device fine-tuning using unsupervised embedding learning NM van Esbroeck, DT Lennon, H Moon, V Nguyen, F Vigneau, ... New Journal of Physics 22 (9), 095003, 2020 | 40 | 2020 |
| Deep reinforcement learning for efficient measurement of quantum devices V Nguyen, SB Orbell, DT Lennon, H Moon, F Vigneau, LC Camenzind, ... npj Quantum Information 7 (1), 100, 2021 | 28* | 2021 |
| Sensitive radiofrequency readout of quantum dots using an ultra-low-noise SQUID amplifier FJ Schupp, F Vigneau, Y Wen, A Mavalankar, J Griffiths, GAC Jones, ... Journal of Applied Physics 127 (24), 2020 | 28 | 2020 |
| Magnetotransport subband spectroscopy in InAs nanowires F Vigneau, V Prudkovkiy, I Duchemin, W Escoffier, P Caroff, YM Niquet, ... Physical review letters 112 (7), 076801, 2014 | 27 | 2014 |
| Ultrastrong coupling between electron tunneling and mechanical motion F Vigneau, J Monsel, J Tabanera, K Aggarwal, L Bresque, F Fedele, ... Physical Review Research 4 (4), 043168, 2022 | 19 | 2022 |
| Bridging the reality gap in quantum devices with physics-aware machine learning DL Craig, H Moon, F Fedele, DT Lennon, B van Straaten, F Vigneau, ... Physical Review X 14 (1), 011001, 2024 | 15 | 2024 |
| Cross-architecture tuning of silicon and SiGe-based quantum devices using machine learning B Severin, DT Lennon, LC Camenzind, F Vigneau, F Fedele, D Jirovec, ... arXiv preprint arXiv:2107.12975, 2021 | 12 | 2021 |
| Identifying Pauli spin blockade using deep learning J Schuff, DT Lennon, S Geyer, DL Craig, F Fedele, F Vigneau, ... Quantum 7, 1077, 2023 | 7 | 2023 |
| All rf-based tuning algorithm for quantum devices using machine learning B van Straaten, F Fedele, F Vigneau, J Hickie, D Jirovec, A Ballabio, ... arXiv preprint arXiv:2211.04504, 2022 | 7 | 2022 |
| Anisotropic transport properties of quasiballistic InAs nanowires under high magnetic field F Vigneau, Z Zeng, W Escoffier, P Caroff, R Leturcq, YM Niquet, B Raquet, ... Physical Review B 97 (12), 125308, 2018 | 6 | 2018 |
| Revealing the band structure of InSb nanowires by high-field magnetotransport in the quasiballistic regime F Vigneau, Ö Gül, YM Niquet, D Car, SR Plissard, W Escoffier, ... Physical Review B 94 (23), 235303, 2016 | 4 | 2016 |
| Stability of long-sustained oscillations induced by electron tunneling J Tabanera-Bravo, F Vigneau, J Monsel, K Aggarwal, L Bresque, F Fedele, ... Physical Review Research 6 (1), 013291, 2024 | 3 | 2024 |
| Calibration and Performance Evaluation of a Superconducting Quantum Processor in an HPC Center X Deng, S Pogorzalek, F Vigneau, P Yang, M Schulz, L Schulz ISC High Performance 2024 Research Paper Proceedings (39th International …, 2024 | 1 | 2024 |
| Scaling qubit-resonator architectures for co-design quantum computing W Kindel, HS Ku, D Gusenkova, N Wurz, J Lamprich, J Verjauw, R Giri, ... Bulletin of the American Physical Society, 2024 | 1 | 2024 |
| Coupling a single spin to high-frequency motion F Fedele, F Cerisola, L Bresque, F Vigneau, J Monsel, J Tabanera, ... arXiv preprint arXiv:2402.19288, 2024 | 1 | 2024 |
| Qubit-resonator gates for co-design quantum computing. J Verjauw, HS Ku, D Gusenkova, N Wurz, J Lamprich, R Giri, ... Bulletin of the American Physical Society, 2024 | | 2024 |