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Learning in Quantum Control: High-Dimensional Global Optimization for
  Noisy Quantum Dynamics

Learning in Quantum Control: High-Dimensional Global Optimization for Noisy Quantum Dynamics

12 July 2016
Pantita Palittapongarnpim
P. Wittek
E. Zahedinejad
Shakib Vedaie
B. Sanders
    AI4CE
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Papers citing "Learning in Quantum Control: High-Dimensional Global Optimization for Noisy Quantum Dynamics"

5 / 5 papers shown
Title
Learning quantum data with the quantum Earth Mover's distance
Learning quantum data with the quantum Earth Mover's distance
B. Kiani
Giacomo De Palma
M. Marvian
Zi-Wen Liu
S. Lloyd
21
45
0
08 Jan 2021
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
12
39
0
30 Sep 2020
Taking gradients through experiments: LSTMs and memory proximal policy
  optimization for black-box quantum control
Taking gradients through experiments: LSTMs and memory proximal policy optimization for black-box quantum control
Moritz August
José Miguel Hernández-Lobato
18
41
0
12 Feb 2018
Machine learning \& artificial intelligence in the quantum domain
Machine learning \& artificial intelligence in the quantum domain
Vedran Dunjko
H. Briegel
19
344
0
08 Sep 2017
Quantum Machine Learning
Quantum Machine Learning
Jacob Biamonte
P. Wittek
Nicola Pancotti
Patrick Rebentrost
N. Wiebe
S. Lloyd
11
1,980
0
28 Nov 2016
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