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Reinforcement learning for optimization of variational quantum circuit architectures

Reinforcement learning for optimization of variational quantum circuit architectures

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
Quantum Circuit Design using a Progressive Widening Enhanced Monte Carlo Tree Search
Vincenzo Lipardi
Domenica Dibenedetto
Georgios Stamoulis
Mark H.M. Winands
133
0
0
06 Feb 2025
Reinforcement Learning for Generative AI: A Survey
Reinforcement Learning for Generative AI: A Survey
Yuanjiang Cao
Quan.Z Sheng
Julian McAuley
Lina Yao
SyDa
80
11
0
28 Aug 2023
Automatic Curriculum Learning For Deep RL: A Short Survey
Automatic Curriculum Learning For Deep RL: A Short Survey
Rémy Portelas
Cédric Colas
Lilian Weng
Katja Hofmann
Pierre-Yves Oudeyer
ODL
46
171
0
10 Mar 2020
A survey on intrinsic motivation in reinforcement learning
A survey on intrinsic motivation in reinforcement learning
A. Aubret
L. Matignon
S. Hassas
AI4CE
39
143
0
19 Aug 2019
Approximation of quantum control correction scheme using deep neural networks
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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