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2020 – today
- 2024
[i16]Zhihan Zhang, Weiyuan Gong
, Weikang Li, Dong-Ling Deng:
Quantum-Classical Separations in Shallow-Circuit-Based Learning with and without Noises. CoRR abs/2405.00770 (2024)- [i15]Ke Wang, Weikang Li, Shibo Xu, Mengyao Hu, Jiachen Chen, Yaozu Wu, Chuanyu Zhang, Feitong Jin, Xuhao Zhu, Yu Gao, Ziqi Tan, Aosai Zhang, Ning Wang, Yiren Zou, Tingting Li, Fanhao Shen, Jiarun Zhong, Zehang Bao, Zitian Zhu, Zixuan Song, Jinfeng Deng, Hang Dong, Xu Zhang, Pengfei Zhang, Wenjie Jiang, Zhide Lu, Zheng-Zhi Sun, Hekang Li, Qiujiang Guo, Zhen Wang, Patrick Emonts, Jordi Tura, Chao Song, H. Wang, Dong-Ling Deng:
Probing many-body Bell correlation depth with superconducting qubits. CoRR abs/2406.17841 (2024) - [i14]Weikang Li, Dong-Ling Deng:
Quantum delegated and federated learning via quantum homomorphic encryption. CoRR abs/2409.19359 (2024) - 2023
- [i13]Li-Wei Yu, Weikang Li, Qi Ye, Zhide Lu, Zizhao Han, Dong-Ling Deng:
Expressibility-induced Concentration of Quantum Neural Tangent Kernels. CoRR abs/2311.04965 (2023) - 2022
- [j1]Wenhui Ren, Weikang Li, Shibo Xu, Ke Wang, Wenjie Jiang, Feitong Jin, Xuhao Zhu, Jiachen Chen, Zixuan Song, Pengfei Zhang, Hang Dong, Xu Zhang, Jinfeng Deng, Yu Gao, Chuanyu Zhang, Yaozu Wu, Bing Zhang, Qiujiang Guo, Hekang Li, Zhen Wang, Jacob D. Biamonte, Chao Song, Dong-Ling Deng, Haohua Wang:
Experimental quantum adversarial learning with programmable superconducting qubits. Nat. Comput. Sci. 2(11): 711-717 (2022) - [i12]Zidu Liu, Pei-Xin Shen, Weikang Li, Lu-Ming Duan, Dong-Ling Deng:
Quantum Capsule Networks. CoRR abs/2201.01778 (2022) - [i11]Wenhui Ren, Weikang Li, Shibo Xu, Ke Wang, Wenjie Jiang, Feitong Jin, Xuhao Zhu, Jiachen Chen, Zixuan Song, Pengfei Zhang, Hang Dong, Xu Zhang, Jinfeng Deng, Yu Gao, Chuanyu Zhang, Yaozu Wu, Bing Zhang, Qiujiang Guo, Hekang Li, Zhen Wang, Jacob D. Biamonte, Chao Song, Dong-Ling Deng, Haohua Wang:
Experimental quantum adversarial learning with programmable superconducting qubits. CoRR abs/2204.01738 (2022) - [i10]Weikang Li, Zhide Lu, Dong-Ling Deng:
Quantum Neural Network Classifiers: A Tutorial. CoRR abs/2206.02806 (2022) - [i9]Weiyuan Gong, Dong Yuan, Weikang Li, Dong-Ling Deng:
Enhancing Quantum Adversarial Robustness by Randomized Encodings. CoRR abs/2212.02531 (2022) - 2021
- [i8]Weiyuan Gong, Dong-Ling Deng:
Universal Adversarial Examples and Perturbations for Quantum Classifiers. CoRR abs/2102.07788 (2021) - [i7]Weikang Li, Sirui Lu, Dong-Ling Deng:
Quantum Private Distributed Learning Through Blind Quantum Computing. CoRR abs/2103.08403 (2021) - [i6]Haoyuan Cai, Qi Ye, Dong-Ling Deng:
Sample Complexity of Learning Quantum Circuits. CoRR abs/2107.09078 (2021) - [i5]Wenjie Jiang, Zhide Lu, Dong-Ling Deng:
Quantum Continual Learning Overcoming Catastrophic Forgetting. CoRR abs/2108.02786 (2021) - [i4]Weikang Li, Dong-Ling Deng:
Recent advances for quantum classifiers. CoRR abs/2108.13421 (2021) - [i3]Weiyuan Gong, Si Jiang, Dong-Ling Deng:
Weighted Quantum Channel Compiling through Proximal Policy Optimization. CoRR abs/2111.02426 (2021) - 2020
- [i2]Sirui Lu, Lu-Ming Duan, Dong-Ling Deng:
Quantum Adversarial Machine Learning. CoRR abs/2001.00030 (2020) - [i1]Yuan-Hang Zhang, Pei-Lin Zheng, Yi Zhang, Dong-Ling Deng:
Topological Quantum Compiling with Reinforcement Learning. CoRR abs/2004.04743 (2020)
Coauthor Index
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