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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"
7 / 7 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
117
0
0
06 Feb 2025
Quantum Architecture Search: A Survey
Darya Martyniuk
Johannes Jung
Adrian Paschke
AI4CE
32
7
0
10 Jun 2024
Reinforcement learning-based architecture search for quantum machine learning
Frederic Rapp
D. Kreplin
Marco F. Huber
M. Roth
AI4CE
27
5
0
04 Jun 2024
Reinforcement Learning for Generative AI: A Survey
Yuanjiang Cao
Quan.Z Sheng
Julian McAuley
Lina Yao
SyDa
46
10
0
28 Aug 2023
Automatic and effective discovery of quantum kernels
Massimiliano Incudini
Daniele Lizzio Bosco
F. Martini
Michele Grossi
Giuseppe Serra
Alessandra Di Pierro
31
4
0
22 Sep 2022
Theoretical Error Performance Analysis for Variational Quantum Circuit Based Functional Regression
Jun Qi
Chao-Han Huck Yang
Pin-Yu Chen
Min-hsiu Hsieh
28
50
0
08 Jun 2022
QTN-VQC: An End-to-End Learning framework for Quantum Neural Networks
Jun Qi
Chao-Han Huck Yang
Pin-Yu Chen
26
44
0
06 Oct 2021
1