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Towards understanding the power of quantum kernels in the NISQ era

Towards understanding the power of quantum kernels in the NISQ era

31 March 2021
Xinbiao Wang
Yuxuan Du
Yong Luo
Dacheng Tao
ArXivPDFHTML

Papers citing "Towards understanding the power of quantum kernels in the NISQ era"

5 / 5 papers shown
Title
sQUlearn -- A Python Library for Quantum Machine Learning
sQUlearn -- A Python Library for Quantum Machine Learning
D. Kreplin
Moritz Willmann
Jan Schnabel
Frederic Rapp
Manuel Hagelüken
M. Roth
GP
17
9
0
15 Nov 2023
Transition Role of Entangled Data in Quantum Machine Learning
Transition Role of Entangled Data in Quantum Machine Learning
Xinbiao Wang
Yuxuan Du
Zhuozhuo Tu
Yong Luo
Xiao Yuan
Dacheng Tao
16
8
0
06 Jun 2023
Exponential concentration in quantum kernel methods
Exponential concentration in quantum kernel methods
Supanut Thanasilp
Samson Wang
M. Cerezo
Zoë Holmes
11
73
0
23 Aug 2022
Generalization in quantum machine learning from few training data
Generalization in quantum machine learning from few training data
Matthias C. Caro
Hsin-Yuan Huang
M. Cerezo
Kunal Sharma
A. Sornborger
L. Cincio
Patrick J. Coles
8
351
0
09 Nov 2021
Quantum Generative Models for Small Molecule Drug Discovery
Quantum Generative Models for Small Molecule Drug Discovery
Junde Li
R. Topaloglu
Swaroop Ghosh
GAN
48
55
0
09 Jan 2021
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