邓东灵，清华大学交叉信息研究院特别研究员，博士生导师，上海期智研究院PI，国家重大人才计划入选者。2007年获南开大学物理、数学双学士学位，2015年博士毕业于美国密西根大学，博士论文获“Kent M. Terwilliger Memorial Thesis Prize”奖。2015-2018年在马里兰大学联合量子研究所从事博士后研究，2018年回国入职清华大学。主要研究方向为量子人工智能与金刚石色心量子计算，已在Nature,Nature/Science子刊，PRL/PRX等期刊上发表论文90余篇。
量子人工智能
量子信息与计算
拓扑相物质
冷原子
量子非平衡态系统
量子计算-量子人工智能的理论与实验
1. Wenjie Jiang Zhide Lu and Dong-Ling Deng，Quantum Continual Learning Overcoming Catastrophic Forgetting，Chinese Physics Letters，2022
2. Weiyuan Gong, Dong-Ling Deng，Universal adversarial examples and perturbations for quantum classifiers，National Science Review，2022
3. Xu Zhang, Wenjie Jiang, Jinfeng Deng, Ke Wang, Jiachen Chen, Pengfei Zhang, Wenhui Ren, Hang Dong, Shibo Xu, Yu Gao, Feitong Jin, Xuhao Zhu, Qiujiang Guo, Hekang Li, Chao Song, Alexey V. Gorshkov, Thomas Iadecola, Fangli Liu, Zhe-Xuan Gong, Zhen Wang, Dong-Ling Deng & H. Wang，Digital quantum simulation of Floquet symmetry-protected topological phases，Nature，2022
4. Huili Zhang, Si Jiang, Xin Wang, Wengang Zhang, Xianzhi Huang, Xiaolong Ouyang, Yefei Yu, Yanqing Liu, Dong-Ling Deng & L.-M. Duan，Experimental demonstration of adversarial examples in learning topological phases，Nature Communications，2022
5. 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 Biamonte, Chao Song, Dong-Ling Deng & H. Wang，Experimental quantum adversarial learning with programmable superconducting qubits，Nature Computational Science，2022
6. Yefei Yu, Li-Wei Yu, Wengang Zhang, Huili Zhang, Xiaolong Ouyang, Yanqing Liu, Dong-Ling Deng & L.-M. Duan，Experimental unsupervised learning of non-Hermitian knotted phases with solid-state spins，npj Quantum Information，2022
7. Zidu Liu, Li-Wei Yu, L.-M. Duan, and Dong-Ling Deng，Presence and Absence of Barren Plateaus in Tensor-Network Based Machine Learning，Physical Review Letters，2022
8. Zidu Liu, L.-M. Duan, and Dong-Ling Deng，Solving quantum master equations with deep quantum neural networks，Physical Review Research，2022
9. Dong Yuan, Shun-Yao Zhang, Yu Wang, L.-M. Duan, and Dong-Ling Deng，Quantum information scrambling in quantum many-body scarred systems，Physical Review Research，2022
10. Haoyuan Cai, Qi Ye and Dong-Ling Deng，Sample complexity of learning parametric quantum circuits，Quantum Science and Technology，2022
11. Zidu Liu, Pei-Xin Shen, Weikang Li, L-M Duan, and Dong-Ling Deng，Quantum capsule networks，Quantum Science and Technology，2022
12. Weikang Li & Dong-Ling Deng，Recent advances for quantum classifiers，Science China Physics, Mechanics & Astronomy，2022
13. Weikang Li, Zhide Lu, Dong-Ling Deng，Quantum neural network classifiers: A tutorial，SciPost Physics Lecture Notes，2022
14. Dong-Ling Deng，Quantum enhanced convolutional neural networks for NISQ computers，Science China Physics, Mechanics & Astronomy，2021
15. Weikang Li, Sirui Lu & Dong-Ling Deng，Quantum federated learning through blind quantum computing，Science China Physics, Mechanics & Astronomy，2021
16. Wengang Zhang, Xiaolong Ouyang, Xianzhi Huang, Xin Wang, Huili Zhang, Yefei Yu, Xiuying Chang, Yanqing Liu, Dong-Ling Deng, and L.-M. Duan，Observation of non-Hermitian topology with non-unitary dynamics of solid-state spins，Physical Review Letters，2021
17. Dong Yuan, He-Ran Wang, Zhong Wang, Dong-Ling Deng，Solving the Liouvillian Gap with Artificial Neural Networks，Physical Review Letters，2021
18. Shun-Yao Zhang, Dong-Ling Deng，Anomalous quantum information scrambling for Z3 parafermion chains，Physical Review，2021
19. Zhide Lu, Pei-Xin Shen, and Dong-Ling Deng，Markovian Quantum Neuroevolution for Machine Learning，Physical Review，2021
20. Kaixuan Huang, Zheng-An Wang, Chao Song, Kai Xu, Hekang Li, Zhen Wang, Qiujiang Guo, Zixuan Song, Zhi-Bo Liu, Dongning Zheng, Dong-Ling Deng, H. Wang, Jian-Guo Tian & Heng Fan，Quantum generative adversarial networks with multiple superconducting qubits，npj Quantum Information，2021
21. Sirui Lu, Lu-Ming Duan, Dong-Ling Deng，Quantum adversarial machine learning，Physical Review Research，2020
22. Li-Wei Yu, Dong-Ling Deng，Unsupervised Learning of Non-Hermitian Topological Phases，Physical Review Letters，2020
23. Yuan-Hang Zhang, Pei-Lin Zheng, Yi Zhang, Dong-Ling Deng，Topological Quantum Compiling with Reinforcement Learning，Physical Review Letters，2020
