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Federico Fedele
Federico Fedele
Department of Engineering Science, Oxford University
Verified email at eng.ox.ac.uk
Title
Cited by
Cited by
Year
Probing quantum devices with radio-frequency reflectometry
F Vigneau, F Fedele, A Chatterjee, D Reilly, F Kuemmeth, ...
Applied Physics Reviews 10 (2), 2023
442023
Simultaneous operations in a two-dimensional array of singlet-triplet qubits
F Fedele, A Chatterjee, S Fallahi, GC Gardner, MJ Manfra, F Kuemmeth
PRX Quantum 2 (4), 040306, 2021
382021
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
172022
Microstrip resonators and broadband lines for X-band EPR spectroscopy of molecular nanomagnets
A Ghirri, C Bonizzoni, M Righi, F Fedele, G Timco, R Winpenny, M Affronte
Applied Magnetic Resonance 46, 749-756, 2015
162015
Autonomous estimation of high-dimensional coulomb diamonds from sparse measurements
A Chatterjee, F Ansaloni, T Rasmussen, B Brovang, F Fedele, ...
Physical Review Applied 18 (6), 064040, 2022
122022
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
Gate reflectometry in dense quantum dot arrays
F Ansaloni, H Bohuslavskyi, F Fedele, T Rasmussen, B Brovang, ...
New Journal of Physics 25 (3), 033023, 2023
6*2023
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
Identifying Pauli spin blockade using deep learning
J Schuff, DT Lennon, S Geyer, DL Craig, F Fedele, F Vigneau, ...
Quantum 7, 1077, 2023
52023
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
Real-time two-axis control of a spin qubit
F Berritta, T Rasmussen, JA Krzywda, J van der Heijden, F Fedele, ...
Nature Communications 15 (1), 1676, 2024
22024
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
Fully autonomous tuning of a spin qubit
J Schuff, MJ Carballido, M Kotzagiannidis, JC Calvo, M Caselli, J Rawling, ...
arXiv preprint arXiv:2402.03931, 2024
12024
Simultaneous operation of singlet-triplet qubits
F Fedele, A Chatterjee, F Kuemmeth
2019 Silicon Nanoelectronics Workshop (SNW), 1-2, 2019
12019
Physics-informed tracking of qubit fluctuations
F Berritta, JA Krzywda, J Benestad, J van der Heijden, F Fedele, S Fallahi, ...
arXiv preprint arXiv:2404.09212, 2024
2024
QArray: a GPU-accelerated constant capacitance model simulator for large quantum dot arrays
B van Straaten, J Hickie, L Schorling, J Schuff, F Fedele, N Ares
arXiv preprint arXiv:2404.04994, 2024
2024
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
Information flows in nanomachines
J Parrondo, J Tabanera-Bravo, F Fedele, N Ares
arXiv preprint arXiv:2312.02068, 2023
2023
Automated long-range compensation of an rf quantum dot sensor
J Hickie, B van Straaten, F Fedele, D Jirovec, A Ballabio, D Chrastina, ...
arXiv preprint arXiv:2310.02135, 2023
2023
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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