Hailan Ma

According to our database, Hailan Ma authored at least 18 papers between 2015 and 2023.

Collaborative distances:

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

2023

Curriculum-Based Deep Reinforcement Learning for Quantum Control.

Hailan Ma, Daoyi Dong, Steven X. Ding, Chunlin Chen

IEEE Trans. Neural Networks Learn. Syst., November, 2023

Two-step robust control design of quantum gates via differential evolution.

Shouliang Hu, Hailan Ma, Daoyi Dong, Chunlin Chen

J. Frankl. Inst., November, 2023

Learning Informative Latent Representation for Quantum State Tomography.

Hailan Ma, Zhenhong Sun, Daoyi Dong, Dong Gong

CoRR, 2023

Attention-Based Transformer Networks for Quantum State Tomography.

Hailan Ma, Zhenhong Sun, Daoyi Dong, Chunlin Chen, Herschel Rabitz

CoRR, 2023

Auxiliary Task-based Deep Reinforcement Learning for Quantum Control.

Shumin Zhou, Hailan Ma, Sen Kuang, Daoyi Dong

CoRR, 2023

On compression rate of quantum autoencoders: Control design, numerical and experimental realization.

Hailan Ma, Chang-Jiang Huang, Chunlin Chen, Daoyi Dong, Yuanlong Wang, Rebing Wu, Guo-Yong Xiang

Autom., 2023

Guided Reward Design in Continuous Reinforcement Learning for Quantum Control.

Shumin Zhou, Hailan Ma, Sen Kuang, Daoyi Dong

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Estimation of Quantum Channels Using Neural Networks.

Hailan Ma, Zhenhong Sun, Shuixin Xiao, Daoyi Dong, Ian R. Petersen

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Deep Reinforcement Learning With Quantum-Inspired Experience Replay.

Qing Wei, Hailan Ma, Chunlin Chen, Daoyi Dong

IEEE Trans. Cybern., 2022

2021

Learning Control of Quantum Systems Using Frequency-Domain Optimization Algorithms.

Daoyi Dong, Chuan-Cun Shu, Jiangchao Chen, Xi Xing, Hailan Ma, Yu Guo, Herschel Rabitz

IEEE Trans. Control. Syst. Technol., 2021

A comparative study on how neural networks enhance quantum state tomography.

Hailan Ma, Daoyi Dong, Ian R. Petersen, Chang-Jiang Huang, Guo-Yong Xiang

CoRR, 2021

A Guided Differential Evolution Algorithm for Control Design of Quantum Gates.

Shouliang Hu, Hailan Ma, Chunlin Chen

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

On how neural networks enhance quantum state tomography with limited resources.

Hailan Ma, Daoyi Dong, Ian R. Petersen

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Learning-Based Quantum Robust Control: Algorithm, Applications, and Experiments.

Daoyi Dong, Xi Xing, Hailan Ma, Chunlin Chen, Zhixin Liu, Herschel Rabitz

IEEE Trans. Cybern., 2020

Several developments in learning control of quantum systems.

Hailan Ma, Chunlin Chen

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

2017

Differential Evolution for Quantum Robust Control: Algorithm, Applications and Experiments.

Daoyi Dong, Xi Xing, Hailan Ma, Chunlin Chen, Zhixin Liu, Herschel Rabitz

CoRR, 2017

2015

Differential Evolution with Equally-Mixed Strategies for Robust Control of Open Quantum Systems.

Hailan Ma, Chunlin Chen, Daoyi Dong

Proceedings of the 2015 IEEE International Conference on Systems, 2015

Ensemble control of open quantum systems using differential evolution.

Yingying Sun, Hailan Ma, Chengzhi Wu, Chunlin Chen, Daoyi Dong

Proceedings of the 10th Asian Control Conference, 2015