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2106.03880
Cited By
Encoding-dependent generalization bounds for parametrized quantum circuits
7 June 2021
Matthias C. Caro
Elies Gil-Fuster
Johannes Jakob Meyer
Jens Eisert
R. Sweke
UQCV
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Papers citing
"Encoding-dependent generalization bounds for parametrized quantum circuits"
28 / 28 papers shown
Title
Addressing the Current Challenges of Quantum Machine Learning through Multi-Chip Ensembles
Junghoon Justin Park
Jiook Cha
Samuel Yen-Chi Chen
H. Tseng
Shinjae Yoo
29
0
0
13 May 2025
Exploring Channel Distinguishability in Local Neighborhoods of the Model Space in Quantum Neural Networks
Sabrina Herbst
S. S. Cranganore
Vincenzo De Maio
Ivona Brandić
48
0
0
17 Feb 2025
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
Generalization Error Bound for Quantum Machine Learning in NISQ Era -- A Survey
Bikram Khanal
Pablo Rivas
Arun Sanjel
Korn Sooksatra
Ernesto Quevedo
Alejandro Rodriguez
26
2
0
11 Sep 2024
On the relation between trainability and dequantization of variational quantum learning models
Elies Gil-Fuster
Casper Gyurik
Adrián Pérez-Salinas
Vedran Dunjko
34
10
0
11 Jun 2024
On the expressivity of embedding quantum kernels
Elies Gil-Fuster
Jens Eisert
Vedran Dunjko
27
16
0
25 Sep 2023
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
Classical Verification of Quantum Learning
Matthias C. Caro
M. Hinsche
M. Ioannou
A. Nietner
R. Sweke
22
5
0
08 Jun 2023
Transition Role of Entangled Data in Quantum Machine Learning
Xinbiao Wang
Yuxuan Du
Zhuozhuo Tu
Yong Luo
Xiao Yuan
Dacheng Tao
40
8
0
06 Jun 2023
A survey on the complexity of learning quantum states
Anurag Anshu
Srinivasan Arunachalam
32
66
0
31 May 2023
Problem-Dependent Power of Quantum Neural Networks on Multi-Class Classification
Yuxuan Du
Yibo Yang
Dacheng Tao
Min-hsiu Hsieh
36
22
0
29 Dec 2022
Learning Quantum Processes and Hamiltonians via the Pauli Transfer Matrix
Matthias C. Caro
25
41
0
08 Dec 2022
A learning theory for quantum photonic processors and beyond
M. Rosati
25
7
0
07 Sep 2022
Exponential concentration in quantum kernel methods
Supanut Thanasilp
Samson Wang
M. Cerezo
Zoë Holmes
11
76
0
23 Aug 2022
On establishing learning separations between classical and quantum machine learning with classical data
Casper Gyurik
Vedran Dunjko
20
15
0
12 Aug 2022
Classical surrogates for quantum learning models
Franz J. Schreiber
Jens Eisert
Johannes Jakob Meyer
AI4CE
14
48
0
23 Jun 2022
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
Overfitting in quantum machine learning and entangling dropout
Masahiro Kobayashi
Kouhei Nakaji
N. Yamamoto
11
30
0
23 May 2022
Incremental Data-Uploading for Full-Quantum Classification
Maniraman Periyasamy
Nico Meyer
Christian Ufrecht
Daniel D. Scherer
Axel Plinge
Christopher Mutschler
AI4CE
26
16
0
06 May 2022
Dynamical simulation via quantum machine learning with provable generalization
Joe Gibbs
Zoë Holmes
Matthias C. Caro
Nic Ezzell
Hsin-Yuan Huang
L. Cincio
A. Sornborger
Patrick J. Coles
AI4CE
18
43
0
21 Apr 2022
Experimental quantum adversarial learning with programmable superconducting qubits
W. Ren
Weikang Li
Shibo Xu
Ke Wang
Wenjie Jiang
...
Zhen Wang
Jacob Biamonte
Chao Song
D. Deng
H. Wang
AAML
28
88
0
04 Apr 2022
High Dimensional Quantum Machine Learning With Small Quantum Computers
Simon Marshall
Casper Gyurik
Vedran Dunjko
11
28
0
25 Mar 2022
Differential Privacy Amplification in Quantum and Quantum-inspired Algorithms
Armando Angrisani
Mina Doosti
E. Kashefi
16
12
0
07 Mar 2022
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
354
0
09 Nov 2021
Accelerating variational quantum algorithms with multiple quantum processors
Yuxuan Du
Yan Qian
Dacheng Tao
9
8
0
24 Jun 2021
Generalization in Quantum Machine Learning: a Quantum Information Perspective
L. Banchi
Jason Pereira
S. Pirandola
29
22
0
17 Feb 2021
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
103
390
0
21 Jan 2021
On the statistical complexity of quantum circuits
Kaifeng Bu
D. E. Koh
Lu Li
Qingxian Luo
Yaobo Zhang
51
43
0
15 Jan 2021
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