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Florian Vigneau
Florian Vigneau
IQM quantum computers
Verified email at meetiqm.com
Title
Cited by
Cited by
Year
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
662019
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
642020
Probing quantum devices with radio-frequency reflectometry
F Vigneau, F Fedele, A Chatterjee, D Reilly, F Kuemmeth, ...
Applied Physics Reviews 10 (2), 2023
402023
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
382018
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
292020
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
272014
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
232020
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
22*2021
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
142022
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
72024
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
62021
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
62018
Identifying Pauli spin blockade using deep learning
J Schuff, DT Lennon, S Geyer, DL Craig, F Fedele, F Vigneau, ...
Quantum 7, 1077, 2023
52023
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
42016
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
32022
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
12024
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
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
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
All rf-based tuning algorithm for quantum devices using machine learning
N Ares, B van Straaten, F Fedele, F Vigneau, J Hickie, D Jirovec, ...
2023
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