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Quantum machine learning beyond kernel methods

Quantum machine learning beyond kernel methods

25 October 2021
Sofiene Jerbi
Lukas J. Fiderer
Hendrik Poulsen Nautrup
Jonas M. Kubler
H. Briegel
Vedran Dunjko
ArXivPDFHTML

Papers citing "Quantum machine learning beyond kernel methods"

16 / 16 papers shown
Title
On the similarity of bandwidth-tuned quantum kernels and classical kernels
On the similarity of bandwidth-tuned quantum kernels and classical kernels
Roberto Flórez Ablan
M. Roth
Jan Schnabel
60
2
0
07 Mar 2025
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
26
0
0
30 Sep 2024
Quantum Kernel Methods under Scrutiny: A Benchmarking Study
Quantum Kernel Methods under Scrutiny: A Benchmarking Study
Jan Schnabel
M. Roth
62
3
0
06 Sep 2024
Reinforcement learning-based architecture search for quantum machine
  learning
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
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
30
9
0
15 Nov 2023
On the expressivity of embedding quantum kernels
On the expressivity of embedding quantum kernels
Elies Gil-Fuster
Jens Eisert
Vedran Dunjko
19
16
0
25 Sep 2023
Potential and limitations of random Fourier features for dequantizing quantum machine learning
Potential and limitations of random Fourier features for dequantizing quantum machine learning
R. Sweke
Erik Recio
Sofiene Jerbi
Elies Gil-Fuster
Bryce Fuller
Jens Eisert
Johannes Jakob Meyer
22
12
0
20 Sep 2023
Decentralized Quantum Federated Learning for Metaverse: Analysis, Design
  and Implementation
Decentralized Quantum Federated Learning for Metaverse: Analysis, Design and Implementation
Devya Gurung
Shiva Raj Pokhrel
Gang Li
31
5
0
20 Jun 2023
Parameterized Quantum Circuits with Quantum Kernels for Machine
  Learning: A Hybrid Quantum-Classical Approach
Parameterized Quantum Circuits with Quantum Kernels for Machine Learning: A Hybrid Quantum-Classical Approach
Daniel T. Chang
17
4
0
28 Sep 2022
Exponential concentration in quantum kernel methods
Exponential concentration in quantum kernel methods
Supanut Thanasilp
Samson Wang
M. Cerezo
Zoë Holmes
11
76
0
23 Aug 2022
Hyperparameter Importance of Quantum Neural Networks Across Small
  Datasets
Hyperparameter Importance of Quantum Neural Networks Across Small Datasets
Charles Moussa
Jan N. van Rijn
Thomas Bäck
Vedran Dunjko
19
12
0
20 Jun 2022
Power and limitations of single-qubit native quantum neural networks
Power and limitations of single-qubit native quantum neural networks
Zhan Yu
Hong Yao
Mujin Li
Xin Wang
37
35
0
16 May 2022
Quantum Self-Attention Neural Networks for Text Classification
Quantum Self-Attention Neural Networks for Text Classification
Guangxi Li
Xuanqiang Zhao
Xin Wang
GNN
24
50
0
11 May 2022
Quantum tangent kernel
Quantum tangent kernel
Norihito Shirai
K. Kubo
K. Mitarai
Keisuke Fujii
25
25
0
04 Nov 2021
Noisy intermediate-scale quantum (NISQ) algorithms
Noisy intermediate-scale quantum (NISQ) algorithms
Kishor Bharti
Alba Cervera-Lierta
T. Kyaw
Tobias Haug
Sumner Alperin-Lea
...
Tim Menke
Wai-Keong Mok
Sukin Sim
L. Kwek
Alán Aspuru-Guzik
101
390
0
21 Jan 2021
Information-theoretic bounds on quantum advantage in machine learning
Information-theoretic bounds on quantum advantage in machine learning
Hsin-Yuan Huang
R. Kueng
J. Preskill
63
213
0
07 Jan 2021
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