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Classical-to-Quantum Transfer Learning Facilitates Machine Learning with Variational Quantum Circuit

18 May 2023
Jun Qi
Chao-Han Huck Yang
Pin-Yu Chen
Min-hsiu Hsieh
Hector Zenil
Jesper Tegner
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Papers citing "Classical-to-Quantum Transfer Learning Facilitates Machine Learning with Variational Quantum Circuit"

4 / 4 papers shown
Title
Towards provably efficient quantum algorithms for large-scale
  machine-learning models
Towards provably efficient quantum algorithms for large-scale machine-learning models
Junyu Liu
Minzhao Liu
Jin-Peng Liu
Ziyu Ye
Yunfei Wang
Yuri Alexeev
Jens Eisert
Liang Jiang
61
51
0
06 Mar 2023
Tuning arrays with rays: Physics-informed tuning of quantum dot charge
  states
Tuning arrays with rays: Physics-informed tuning of quantum dot charge states
J. Ziegler
F. Luthi
Mick Ramsey
F. Borjans
G. Zheng
Justyna P. Zwolak
23
21
0
08 Sep 2022
Classical-to-Quantum Transfer Learning for Spoken Command Recognition
  Based on Quantum Neural Networks
Classical-to-Quantum Transfer Learning for Spoken Command Recognition Based on Quantum Neural Networks
Jun Qi
Javier Tejedor
39
43
0
17 Oct 2021
Linear Convergence of Gradient and Proximal-Gradient Methods Under the
  Polyak-Łojasiewicz Condition
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition
Hamed Karimi
J. Nutini
Mark W. Schmidt
139
1,199
0
16 Aug 2016
1