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2208.06339
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On establishing learning separations between classical and quantum machine learning with classical data
12 August 2022
Casper Gyurik
Vedran Dunjko
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Papers citing
"On establishing learning separations between classical and quantum machine learning with classical data"
8 / 8 papers shown
Title
An unconditional distribution learning advantage with shallow quantum circuits
N. Pirnay
S. Jerbi
J. -P. Seifert
J. Eisert
75
1
0
23 Nov 2024
Satellite image classification with neural quantum kernels
Pablo Rodriguez-Grasa
Robert Farzan-Rodriguez
Gabriele Novelli
Yue Ban
Mikel Sanz
28
0
0
30 Sep 2024
Exploiting the equivalence between quantum neural networks and perceptrons
Chris Mingard
Jessica Pointing
Charles London
Yoonsoo Nam
Ard A. Louis
32
2
0
05 Jul 2024
Provable advantages of kernel-based quantum learners and quantum preprocessing based on Grover's algorithm
Till Muser
Elias Zapusek
Vasilis Belis
Florentin Reiter
30
5
0
25 Sep 2023
Exponential separations between classical and quantum learners
Casper Gyurik
Vedran Dunjko
16
18
0
28 Jun 2023
Shadows of quantum machine learning
Sofiene Jerbi
Casper Gyurik
Simon Marshall
Riccardo Molteni
Vedran Dunjko
18
41
0
31 May 2023
A super-polynomial quantum-classical separation for density modelling
Niklas Pirnay
R. Sweke
Jens Eisert
Jean-Pierre Seifert
18
15
0
26 Oct 2022
Rapid training of quantum recurrent neural networks
M. Siemaszko
A. Buraczewski
Bertrand Le Saux
Magdalena Stobiñska
16
9
0
01 Jul 2022
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