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Toward Robust Autotuning of Noisy Quantum Dot Devices
v1v2v3 (latest)

Toward Robust Autotuning of Noisy Quantum Dot Devices

30 July 2021
J. Ziegler
T. McJunkin
E. S. Joseph
Sandesh S. Kalantre
B. Harpt
D. Savage
M. Lagally
M. A. Eriksson
Jacob M. Taylor
Justyna P. Zwolak
    AAML
ArXiv (abs)PDFHTML

Papers citing "Toward Robust Autotuning of Noisy Quantum Dot Devices"

4 / 4 papers shown
Title
Autonomous Bootstrapping of Quantum Dot Devices
Autonomous Bootstrapping of Quantum Dot Devices
Anton Zubchenko
Danielle Middlebrooks
Torbjørn Rasmussen
Lara Lausen
F. Kuemmeth
A. Chatterjee
Justyna P. Zwolak
83
5
0
29 Jul 2024
Deep Reinforcement Learning for Efficient Measurement of Quantum Devices
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
53
41
0
30 Sep 2020
Optuna: A Next-generation Hyperparameter Optimization Framework
Optuna: A Next-generation Hyperparameter Optimization Framework
Takuya Akiba
Shotaro Sano
Toshihiko Yanase
Takeru Ohta
Masanori Koyama
679
5,872
0
25 Jul 2019
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCVBDL
847
5,847
0
05 Dec 2016
1