Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2009.14825
Cited By
Deep Reinforcement Learning for Efficient Measurement of Quantum Devices
30 September 2020
Vu-Linh Nguyen
S. B. Orbell
D. Lennon
H. Moon
F. Vigneau
L. Camenzind
L. Yu
D. Zumbuhl
G. Briggs
Michael A. Osborne
D. Sejdinovic
N. Ares
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Deep Reinforcement Learning for Efficient Measurement of Quantum Devices"
6 / 6 papers shown
Title
Bayesian Generational Population-Based Training
Xingchen Wan
Cong Lu
Jack Parker-Holder
Philip J. Ball
Vu-Linh Nguyen
Binxin Ru
Michael A. Osborne
OffRL
31
15
0
19 Jul 2022
Learning Coulomb Diamonds in Large Quantum Dot Arrays
Oswin Krause
A. Chatterjee
F. Kuemmeth
E. V. Nieuwenburg
16
7
0
03 May 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
22
5
0
01 Feb 2022
A Hybrid Quantum-Classical Algorithm for Robust Fitting
Anh-Dzung Doan
Michele Sasdelli
David Suter
Tat-Jun Chin
36
26
0
25 Jan 2022
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems
Jack Parker-Holder
Raghunandan Rajan
Xingyou Song
André Biedenkapp
Yingjie Miao
...
Vu-Linh Nguyen
Roberto Calandra
Aleksandra Faust
Frank Hutter
Marius Lindauer
AI4CE
33
100
0
11 Jan 2022
Learning in Quantum Control: High-Dimensional Global Optimization for Noisy Quantum Dynamics
Pantita Palittapongarnpim
P. Wittek
E. Zahedinejad
Shakib Vedaie
B. Sanders
AI4CE
51
87
0
12 Jul 2016
1