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Reinforcement learning for optimization of variational quantum circuit architectures
30 March 2021
M. Ostaszewski
Lea M. Trenkwalder
Wojciech Masarczyk
Eleanor Scerri
Vedran Dunjko
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Papers citing
"Reinforcement learning for optimization of variational quantum circuit architectures"
5 / 5 papers shown
Title
Quantum Circuit Design using a Progressive Widening Enhanced Monte Carlo Tree Search
Vincenzo Lipardi
Domenica Dibenedetto
Georgios Stamoulis
Mark H.M. Winands
143
0
0
06 Feb 2025
Reinforcement Learning for Generative AI: A Survey
Yuanjiang Cao
Quan.Z Sheng
Julian McAuley
Lina Yao
SyDa
87
11
0
28 Aug 2023
Automatic Curriculum Learning For Deep RL: A Short Survey
Rémy Portelas
Cédric Colas
Lilian Weng
Katja Hofmann
Pierre-Yves Oudeyer
ODL
48
171
0
10 Mar 2020
A survey on intrinsic motivation in reinforcement learning
A. Aubret
L. Matignon
S. Hassas
AI4CE
43
143
0
19 Aug 2019
Approximation of quantum control correction scheme using deep neural networks
M. Ostaszewski
Jaroslaw Adam Miszczak
P. Sadowski
L. Banchi
15
18
0
14 Mar 2018
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