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Efficiently measuring a quantum device using machine learning
23 October 2018
D. Lennon
H. Moon
L. Camenzind
Liuqi Yu
D. Zumbuhl
G. Briggs
Michael A. Osborne
E. Laird
N. Ares
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Papers citing
"Efficiently measuring a quantum device using machine learning"
6 / 6 papers shown
Title
Active Learning for the Optimal Design of Multinomial Classification in Physics
Yongcheng Ding
J. D. Martín-Guerrero
Yu-Chen Song
José Rafael Magdalena Benedicto
Xi Chen
21
5
0
17 Sep 2021
Ray-based framework for state identification in quantum dot devices
Justyna P. Zwolak
T. McJunkin
Sandesh S. Kalantre
S. Neyens
E. MacQuarrie
M. A. Eriksson
Jacob M. Taylor
17
18
0
23 Feb 2021
Machine learning pipeline for quantum state estimation with incomplete measurements
Onur Danaci
Sanjaya Lohani
Brian T. Kirby
R. Glasser
41
22
0
05 Dec 2020
Deep Reinforcement Learning for Efficient Measurement of Quantum Devices
Vu-Linh Nguyen
S. B. Orbell
D. Lennon
H. Moon
F. Vigneau
...
D. Zumbuhl
G. Briggs
Michael A. Osborne
D. Sejdinovic
N. Ares
30
39
0
30 Sep 2020
Quantum device fine-tuning using unsupervised embedding learning
N. V. Esbroeck
D. Lennon
H. Moon
Vu-Linh Nguyen
F. Vigneau
...
L. Yu
D. Zumbuhl
G. Briggs
D. Sejdinovic
N. Ares
22
29
0
13 Jan 2020
Machine learning enables completely automatic tuning of a quantum device faster than human experts
H. Moon
D. Lennon
J. Kirkpatrick
N. V. Esbroeck
L. Camenzind
...
G. Briggs
Michael A. Osborne
D. Sejdinovic
E. Laird
N. Ares
16
70
0
08 Jan 2020
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