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Power and limitations of single-qubit native quantum neural networks

Power and limitations of single-qubit native quantum neural networks

16 May 2022
Zhan Yu
Hong Yao
Mujin Li
Xin Wang
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Papers citing "Power and limitations of single-qubit native quantum neural networks"

5 / 5 papers shown
Title
On the relation between trainability and dequantization of variational quantum learning models
On the relation between trainability and dequantization of variational quantum learning models
Elies Gil-Fuster
Casper Gyurik
Adrián Pérez-Salinas
Vedran Dunjko
21
10
0
11 Jun 2024
Quantum Implicit Neural Representations
Quantum Implicit Neural Representations
Jiaming Zhao
Wenbo Qiao
Peng Zhang
Hui Gao
33
3
0
06 Jun 2024
Parameterized quantum comb and simpler circuits for reversing unknown qubit-unitary operations
Parameterized quantum comb and simpler circuits for reversing unknown qubit-unitary operations
Yin Mo
Lei Zhang
Yuanyi Chen
Yingjian Liu
Tengxiang Lin
Xin Wang
21
3
0
06 Mar 2024
Optimal quantum dataset for learning a unitary transformation
Optimal quantum dataset for learning a unitary transformation
Zhan Yu
Xuanqiang Zhao
Benchi Zhao
Xin Wang
24
8
0
01 Mar 2022
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
93
354
0
21 Jan 2021
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