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Shi, Shangshang
81
results:
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Online (81)
Mediatypes
Articles (Online) (48)
OpenAccess-fulltext (33)
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1
Quantum Poisson solver without arithmetic:
Wang, Shengbin
;
Wang, Zhimin
;
Cui, Guolong
...
Intelligent Marine Technology and Systems. 2 (2024) 1 - p. , 2024
Link:
https://doi.org/10.1007/..
?
2
Quantum convolutional neural networks for multiclass image ..:
Shi, Shangshang
;
Wang, Zhimin
;
Li, Jiaxin
...
Quantum Information Processing. 23 (2024) 5 - p. , 2024
Link:
https://doi.org/10.1007/..
?
3
Hybrid quantum-classical convolutional neural network for p..:
Shi, Shangshang
;
Wang, Zhimin
;
Shang, Ruimin
...
Frontiers in Marine Science. 10 (2023) - p. , 2023
Link:
https://doi.org/10.3389/..
?
4
Algorithm for simulating ocean circulation on a quantum com..:
Shang, Ruimin
;
Wang, Zhimin
;
Shi, Shangshang
...
Science China Earth Sciences. , 2023
Link:
https://doi.org/10.1007/..
?
5
Quantum recurrent neural networks for sequential learning:
Li, Yanan
;
Wang, Zhimin
;
Han, Rongbing
...
Neural Networks. 166 (2023) - p. 148-161 , 2023
Link:
https://doi.org/10.1016/..
?
6
Inverse-coefficient black-box quantum state preparation:
Wang, Shengbin
;
Wang, Zhimin
;
He, Runhong
...
New Journal of Physics. 24 (2022) 10 - p. 103004 , 2022
Link:
https://doi.org/10.1088/..
?
7
Quantum-inspired complex convolutional neural networks:
Shi, Shangshang
;
Wang, Zhimin
;
Cui, Guolong
...
Applied Intelligence. 52 (2022) 15 - p. 17912-17921 , 2022
Link:
https://doi.org/10.1007/..
?
8
Fast black-box quantum state preparation based on linear co..:
Wang, Shengbin
;
Wang, Zhimin
;
Cui, Guolong
...
Quantum Information Processing. 20 (2021) 8 - p. , 2021
Link:
https://doi.org/10.1007/..
?
9
Refined sectionalized method of QD-SOA:
Shi, Shangshang
;
Wang, Hailong
;
Gong, Qian
..
Optik. 125 (2014) 1 - p. 504-507 , 2014
Link:
https://doi.org/10.1016/..
?
10
Hybrid quantum-classical convolutional neural network for p..:
Shi, Shangshang
;
Wang, Zhimin
;
Shang, Ruimin
...
http://arxiv.org/abs/2303.03707. , 2023
Link:
http://arxiv.org/abs/230..
?
11
A natural NISQ model of quantum self-attention mechanism:
Shi, Shangshang
;
Wang, Zhimin
;
Li, Jiaxin
...
http://arxiv.org/abs/2305.15680. , 2023
Link:
http://arxiv.org/abs/230..
?
12
Quantum Recurrent Neural Networks for Sequential Learning:
Li, Yanan
;
Wang, Zhimin
;
Han, Rongbing
...
http://arxiv.org/abs/2302.03244. , 2023
Link:
http://arxiv.org/abs/230..
?
13
Quantum-inspired Complex Convolutional Neural Networks:
Shi, Shangshang
;
Wang, Zhimin
;
Cui, Guolong
...
http://arxiv.org/abs/2111.00392. , 2021
Link:
http://arxiv.org/abs/211..
?
14
Black-Box Quantum State Preparation with Inverse Coefficien..:
Wang, Shengbin
;
Wang, Zhimin
;
He, Runhong
...
http://arxiv.org/abs/2112.05937. , 2021
Link:
http://arxiv.org/abs/211..
?
15
Fast Black-Box Quantum State Preparation Based on Linear Co..:
Wang, Shengbin
;
Wang, Zhimin
;
Cui, Guolong
...
http://arxiv.org/abs/2105.06230. , 2021
Link:
http://arxiv.org/abs/210..
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