Hailan Ma

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 22

Top Topics

Differential Evolution

Reinforcement Learning

Top Venues

IEEE Trans. Cybern.

Publications

Hailan Ma, Zhenhong Sun, Shuixin Xiao, Daoyi Dong, Ian R. Petersen
Estimation of Quantum Channels Using Neural Networks. CDC (2023)
Hailan Ma, Zhenhong Sun, Daoyi Dong, Dong Gong
Learning Informative Latent Representation for Quantum State Tomography. CoRR (2023)
Hailan Ma, Zhenhong Sun, Daoyi Dong, Chunlin Chen, Herschel Rabitz
Attention-Based Transformer Networks for Quantum State Tomography. CoRR (2023)
Shouliang Hu, Hailan Ma, Daoyi Dong, Chunlin Chen
Two-step robust control design of quantum gates via differential evolution. J. Frankl. Inst. 360 (17) (2023)
Shumin Zhou, Hailan Ma, Sen Kuang, Daoyi Dong
Auxiliary Task-based Deep Reinforcement Learning for Quantum Control. CoRR (2023)
Shumin Zhou, Hailan Ma, Sen Kuang, Daoyi Dong
Guided Reward Design in Continuous Reinforcement Learning for Quantum Control. SMC (2023)
Hailan Ma, Daoyi Dong, Steven X. Ding, Chunlin Chen
Curriculum-Based Deep Reinforcement Learning for Quantum Control. IEEE Trans. Neural Networks Learn. Syst. 34 (11) (2023)
Hailan Ma, Chang-Jiang Huang, Chunlin Chen, Daoyi Dong, Yuanlong Wang, Rebing Wu, Guo-Yong Xiang
On compression rate of quantum autoencoders: Control design, numerical and experimental realization. Autom. 147 (2023)
Qing Wei, Hailan Ma, Chunlin Chen, Daoyi Dong
Deep Reinforcement Learning With Quantum-Inspired Experience Replay. IEEE Trans. Cybern. 52 (9) (2022)
Shouliang Hu, Hailan Ma, Chunlin Chen
A Guided Differential Evolution Algorithm for Control Design of Quantum Gates. SMC (2021)
Daoyi Dong, Chuan-Cun Shu, Jiangchao Chen, Xi Xing, Hailan Ma, Yu Guo, Herschel Rabitz
Learning Control of Quantum Systems Using Frequency-Domain Optimization Algorithms. IEEE Trans. Control. Syst. Technol. 29 (4) (2021)
Hailan Ma, Daoyi Dong, Ian R. Petersen
On how neural networks enhance quantum state tomography with limited resources. CDC (2021)
Hailan Ma, Daoyi Dong, Ian R. Petersen, Chang-Jiang Huang, Guo-Yong Xiang
A comparative study on how neural networks enhance quantum state tomography. CoRR (2021)
Qing Wei, Hailan Ma, Chunlin Chen, Daoyi Dong
Deep Reinforcement Learning with Quantum-inspired Experience Replay. CoRR (2021)
Daoyi Dong, Xi Xing, Hailan Ma, Chunlin Chen, Zhixin Liu, Herschel Rabitz
Learning-Based Quantum Robust Control: Algorithm, Applications, and Experiments. IEEE Trans. Cybern. 50 (8) (2020)
Hailan Ma, Daoyi Dong, Steven X. Ding, Chunlin Chen
Curriculum-based Deep Reinforcement Learning for Quantum Control. CoRR (2020)
Daoyi Dong, Chuan-Cun Shu, Jiangchao Chen, Xi Xing, Hailan Ma, Yu Guo, Herschel Rabitz
Learning control of quantum systems using frequency-domain optimization algorithms. CoRR (2020)
Hailan Ma, Chunlin Chen
Several developments in learning control of quantum systems. SMC (2020)
Hailan Ma, Chang-Jiang Huang, Chunlin Chen, Daoyi Dong, Yuanlong Wang, Rebing Wu, Guo-Yong Xiang
On compression rate of quantum autoencoders: Control design, numerical and experimental realization. CoRR (2020)
Daoyi Dong, Xi Xing, Hailan Ma, Chunlin Chen, Zhixin Liu, Herschel Rabitz
Differential Evolution for Quantum Robust Control: Algorithm, Applications and Experiments. CoRR (2017)
Yingying Sun, Hailan Ma, Chengzhi Wu, Chunlin Chen, Daoyi Dong
Ensemble control of open quantum systems using differential evolution. ASCC (2015)
Hailan Ma, Chunlin Chen, Daoyi Dong
Differential Evolution with Equally-Mixed Strategies for Robust Control of Open Quantum Systems. SMC (2015)