Dong-Ling Deng

According to our database, Dong-Ling Deng authored at least 22 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Solving excited states for long-range interacting trapped ions with neural networks.

Yixuan Ma, Chang Liu, Weikang Li, Shun-Yao Zhang, L.-M. Duan, Yukai Wu, Dong-Ling Deng

CoRR, June, 2025

Quantum automated learning with provable and explainable trainability.

Qi Ye, Shuangyue Geng, Zizhao Han, Weikang Li, L.-M. Duan, Dong-Ling Deng

CoRR, February, 2025

2024

Extracting reliable quantum outputs for noisy devices.

Weikang Li, Dong-Ling Deng

Nat. Comput. Sci., November, 2024

No-Free-Lunch Theories for Tensor-Network Machine Learning Models.

Jing-Chuan Wu, Qi Ye, Dong-Ling Deng, Li-Wei Yu

CoRR, 2024

Classical Verification of Quantum Learning Advantages with Noises.

Yinghao Ma, Jiaxi Su, Dong-Ling Deng

CoRR, 2024

Entanglement-induced provable and robust quantum learning advantages.

Haimeng Zhao, Dong-Ling Deng

CoRR, 2024

Quantum delegated and federated learning via quantum homomorphic encryption.

Weikang Li, Dong-Ling Deng

CoRR, 2024

Probing many-body Bell correlation depth with superconducting qubits.

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

CoRR, 2024

Quantum-Classical Separations in Shallow-Circuit-Based Learning with and without Noises.

Zhihan Zhang, Weiyuan Gong, Weikang Li, Dong-Ling Deng

CoRR, 2024

2023

Expressibility-induced Concentration of Quantum Neural Tangent Kernels.

Li-Wei Yu, Weikang Li, Qi Ye, Zhide Lu, Zizhao Han, Dong-Ling Deng

CoRR, 2023

2022

Experimental quantum adversarial learning with programmable superconducting qubits.

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

Nat. Comput. Sci., 2022

Enhancing Quantum Adversarial Robustness by Randomized Encodings.

Weiyuan Gong, Dong Yuan, Weikang Li, Dong-Ling Deng

CoRR, 2022

Quantum Neural Network Classifiers: A Tutorial.

Weikang Li, Zhide Lu, Dong-Ling Deng

CoRR, 2022

Quantum Capsule Networks.

Zidu Liu, Pei-Xin Shen, Weikang Li, Lu-Ming Duan, Dong-Ling Deng

CoRR, 2022

2021

Weighted Quantum Channel Compiling through Proximal Policy Optimization.

Weiyuan Gong, Si Jiang, Dong-Ling Deng

CoRR, 2021

Recent advances for quantum classifiers.

Weikang Li, Dong-Ling Deng

CoRR, 2021

Quantum Continual Learning Overcoming Catastrophic Forgetting.

Wenjie Jiang, Zhide Lu, Dong-Ling Deng

CoRR, 2021

Sample Complexity of Learning Quantum Circuits.

Haoyuan Cai, Qi Ye, Dong-Ling Deng

CoRR, 2021

Quantum Private Distributed Learning Through Blind Quantum Computing.

Weikang Li, Sirui Lu, Dong-Ling Deng

CoRR, 2021

Universal Adversarial Examples and Perturbations for Quantum Classifiers.

Weiyuan Gong, Dong-Ling Deng

CoRR, 2021

2020

Topological Quantum Compiling with Reinforcement Learning.

Yuan-Hang Zhang, Pei-Lin Zheng, Yi Zhang, Dong-Ling Deng

CoRR, 2020

Quantum Adversarial Machine Learning.

Sirui Lu, Lu-Ming Duan, Dong-Ling Deng

CoRR, 2020