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Experimental kernel-based quantum machine learning in finite feature
  space

Experimental kernel-based quantum machine learning in finite feature space

10 June 2019
Karol Bartkiewicz
C. Gneiting
A. Černoch
K. Jiráková
K. Lemr
Franco Nori
ArXivPDFHTML

Papers citing "Experimental kernel-based quantum machine learning in finite feature space"

13 / 13 papers shown
Title
Satellite image classification with neural quantum kernels
Satellite image classification with neural quantum kernels
Pablo Rodriguez-Grasa
Robert Farzan-Rodriguez
Gabriele Novelli
Yue Ban
Mikel Sanz
31
0
0
30 Sep 2024
Universal expressiveness of variational quantum classifiers and quantum
  kernels for support vector machines
Universal expressiveness of variational quantum classifiers and quantum kernels for support vector machines
Jonas Jäger
R. Krems
21
66
0
12 Jul 2022
Compositional optimization of quantum circuits for quantum kernels of
  support vector machines
Compositional optimization of quantum circuits for quantum kernels of support vector machines
E. Torabian
R. Krems
11
10
0
25 Mar 2022
Quantum tangent kernel
Quantum tangent kernel
Norihito Shirai
K. Kubo
K. Mitarai
Keisuke Fujii
33
26
0
04 Nov 2021
Quantum machine learning beyond kernel methods
Quantum machine learning beyond kernel methods
Sofiene Jerbi
Lukas J. Fiderer
Hendrik Poulsen Nautrup
Jonas M. Kubler
H. Briegel
Vedran Dunjko
14
161
0
25 Oct 2021
Recent advances for quantum classifiers
Recent advances for quantum classifiers
Weikang Li
D. Deng
AAML
39
84
0
30 Aug 2021
Photonic Quantum Policy Learning in OpenAI Gym
Photonic Quantum Policy Learning in OpenAI Gym
D. Nagy
Zsolt I. Tabi
Péter Hága
Zsófia Kallus
Z. Zimborás
25
7
0
29 Aug 2021
Quantum machine learning of large datasets using randomized measurements
Quantum machine learning of large datasets using randomized measurements
Tobias Haug
C. Self
Myungshik S. Kim
34
50
0
02 Aug 2021
Training Quantum Embedding Kernels on Near-Term Quantum Computers
Training Quantum Embedding Kernels on Near-Term Quantum Computers
T. Hubregtsen
David Wierichs
Elies Gil-Fuster
Peter-Jan H. S. Derks
Paul K. Faehrmann
Johannes Jakob Meyer
28
94
0
05 May 2021
Towards understanding the power of quantum kernels in the NISQ era
Towards understanding the power of quantum kernels in the NISQ era
Xinbiao Wang
Yuxuan Du
Yong Luo
Dacheng Tao
38
68
0
31 Mar 2021
Quantum machine learning with adaptive linear optics
Quantum machine learning with adaptive linear optics
Ulysse Chabaud
D. Markham
A. Sohbi
13
21
0
08 Feb 2021
Power of data in quantum machine learning
Power of data in quantum machine learning
Hsin-Yuan Huang
Michael Broughton
Masoud Mohseni
Ryan Babbush
Sergio Boixo
Hartmut Neven
Jarrod R. McClean
25
623
0
03 Nov 2020
A rigorous and robust quantum speed-up in supervised machine learning
A rigorous and robust quantum speed-up in supervised machine learning
Yunchao Liu
Srinivasan Arunachalam
K. Temme
36
529
0
05 Oct 2020
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