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Sample Complexity of Learning Parametric Quantum Circuits
v1v2 (latest)

Sample Complexity of Learning Parametric Quantum Circuits

19 July 2021
H. Cai
Qi Ye
D. Deng
ArXiv (abs)PDFHTML

Papers citing "Sample Complexity of Learning Parametric Quantum Circuits"

10 / 10 papers shown
Title
Quantum automated learning with provable and explainable trainability
Quantum automated learning with provable and explainable trainability
Qi Ye
Shuangyue Geng
Zizhao Han
Weikang Li
L. Duan
D. Deng
80
0
0
07 Feb 2025
Data re-uploading in Quantum Machine Learning for time series: application to traffic forecasting
Data re-uploading in Quantum Machine Learning for time series: application to traffic forecasting
Nikolaos Schetakis
Paolo Bonfini
Negin Alisoltani
Konstantinos Blazakis
Symeon I. Tsintzos
Alexis Askitopoulos
Davit Aghamalyan
Panagiotis Fafoutellis
Eleni I. Vlahogianni
89
1
0
22 Jan 2025
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
92
9
0
06 Jun 2023
Quantum Recurrent Neural Networks for Sequential Learning
Quantum Recurrent Neural Networks for Sequential Learning
Yanan Li
Zhimin Wang
Rongbing Han
S. Shi
Jiaxin Li
R. Shang
Haiyong Zheng
Guoqiang Zhong
Yongjian Gu
56
30
0
07 Feb 2023
Problem-Dependent Power of Quantum Neural Networks on Multi-Class
  Classification
Problem-Dependent Power of Quantum Neural Networks on Multi-Class Classification
Yuxuan Du
Yibo Yang
Dacheng Tao
Min-hsiu Hsieh
106
23
0
29 Dec 2022
Learning Quantum Processes and Hamiltonians via the Pauli Transfer
  Matrix
Learning Quantum Processes and Hamiltonians via the Pauli Transfer Matrix
Matthias C. Caro
73
42
0
08 Dec 2022
Exponential concentration in quantum kernel methods
Exponential concentration in quantum kernel methods
Supanut Thanasilp
Samson Wang
M. Cerezo
Zoë Holmes
86
90
0
23 Aug 2022
Dynamical simulation via quantum machine learning with provable
  generalization
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
107
43
0
21 Apr 2022
Out-of-distribution generalization for learning quantum dynamics
Out-of-distribution generalization for learning quantum dynamics
Matthias C. Caro
Hsin-Yuan Huang
Nic Ezzell
Joe Gibbs
A. Sornborger
L. Cincio
Patrick J. Coles
Zoë Holmes
OODDOOD
106
88
0
21 Apr 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
112
384
0
09 Nov 2021
1