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2001.02589
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Machine learning enables completely automatic tuning of a quantum device faster than human experts
8 January 2020
H. Moon
D. Lennon
J. Kirkpatrick
N. V. Esbroeck
L. Camenzind
Liuqi Yu
F. Vigneau
D. Zumbuhl
G. Briggs
Michael A. Osborne
D. Sejdinovic
E. Laird
N. Ares
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Papers citing
"Machine learning enables completely automatic tuning of a quantum device faster than human experts"
8 / 8 papers shown
Title
Autonomous Bootstrapping of Quantum Dot Devices
Anton Zubchenko
Danielle Middlebrooks
Torbjørn Rasmussen
Lara Lausen
F. Kuemmeth
A. Chatterjee
Justyna P. Zwolak
29
5
0
29 Jul 2024
Automated extraction of capacitive coupling for quantum dot systems
J. Ziegler
F. Luthi
Michael S. Ramsey
F. Borjans
G. Zheng
Justyna P. Zwolak
13
11
0
20 Jan 2023
On scientific understanding with artificial intelligence
Mario Krenn
R. Pollice
S. Guo
Matteo Aldeghi
Alba Cervera-Lierta
...
Florian Hase
A. Jinich
AkshatKumar Nigam
Zhenpeng Yao
Alán Aspuru-Guzik
40
186
0
04 Apr 2022
Identifying Pauli spin blockade using deep learning
Jonas Schuff
D. Lennon
S. Geyer
D. L. Craig
F. Fedele
...
A. Kuhlmann
G. Briggs
D. Zumbuhl
Dino Sejdinovic
N. Ares
30
5
0
01 Feb 2022
Bridging the reality gap in quantum devices with physics-aware machine learning
D. L. Craig
H. Moon
F. Fedele
D. Lennon
B. V. Straaten
...
D. Zumbuhl
G. Briggs
Michael A. Osborne
D. Sejdinovic
N. Ares
28
13
0
22 Nov 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
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
16
29
0
13 Jan 2020
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