All papers authored by Natalia Ares
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2022
Florian Vigneau 
,
Juliette Monsel ,
Jorge Tabanera ,
Kushagra Aggarwal ,
Léa Bresque ,
Federico Fedele ,
Federico Cerisola,
G. A. D. Briggs ,
Janet Anders,
Juan M. R. Parrondo ,
Alexia Auffèves,
Natalia Ares
,
Juliette Monsel ,
Jorge Tabanera ,
Kushagra Aggarwal ,
Léa Bresque ,
Federico Fedele ,
Federico Cerisola,
G. A. D. Briggs ,
Janet Anders,
Juan M. R. Parrondo ,
Alexia Auffèves,
Natalia Ares
Ultrastrong coupling between electron tunneling and mechanical motion
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2021
V. Nguyen,
S. B. Orbell ,
D. T. Lennon,
H. Moon,
F. Vigneau ,
L. C. Camenzind,
L. Yu,
D. M. Zumbühl ,
G. A. D. Briggs ,
M. A. Osborne,
D. Sejdinovic ,
N. Ares
,
D. T. Lennon,
H. Moon,
F. Vigneau ,
L. C. Camenzind,
L. Yu,
D. M. Zumbühl ,
G. A. D. Briggs ,
M. A. Osborne,
D. Sejdinovic ,
N. Ares
Deep reinforcement learning for efficient measurement of quantum devices
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H. Moon,
D. T. Lennon ,
J. Kirkpatrick,
N. M. van Esbroeck,
L. C. Camenzind,
Liuqi Yu,
F. Vigneau ,
D. M. Zumbühl ,
G. A. D. Briggs ,
M. A. Osborne,
D. Sejdinovic,
E. A. Laird ,
N. Ares
,
J. Kirkpatrick,
N. M. van Esbroeck,
L. C. Camenzind,
Liuqi Yu,
F. Vigneau ,
D. M. Zumbühl ,
G. A. D. Briggs ,
M. A. Osborne,
D. Sejdinovic,
E. A. Laird ,
N. Ares
Machine learning enables completely automatic tuning of a quantum device faster than human experts
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