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Keywords

Quantum control, Machine learning

Countries

Australia

Biography

Hailan Ma received the B.E. degree in automation and the MA.Sc degree in control science and engineering from Nanjing University, Nanjing, China, in 2014 and 2017, respectively. She was a Research Assistant with Nanjing University, Nanjing, China from 2019 to 2020. She is currently a Ph.D. student in the School of Engineering and Information Technology, University of New South Wale, Canberra, Australia. Her research interests include learning control and optimization of quantum systems, and quantum machine learning. She is a member of Technical Committee on Quantum Cybernetics, IEEE Systems, Man and Cybernetics Society.

Activities

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Employment (2)

Nanjing University: Nanjing, China, CN

2019-05-20 to 2020-08-02 | Research Assisstant (School of Management and Engineering)
Employment
Source: Self-asserted source
Hailan Ma

Huawei Technologies: Nanjing, China, CN

2017-07-21 to 2019-05-15 | Engineer
Employment
Source: Self-asserted source
Hailan Ma

Works (8)

Learning Informative Latent Representation for Quantum State Tomography

IEEE Transactions on Emerging Topics in Computational Intelligence
2025 | Journal article
DOI: 10.1109/TETCI.2025.3543767
Contributors: Hailan Ma; Zhenhong Sun; Daoyi Dong; Dong Gong
Source: check_circle
Crossref

Auxiliary Task-Based Deep Reinforcement Learning for Quantum Control

IEEE Transactions on Cybernetics
2025-02 | Journal article
DOI: 10.1109/TCYB.2024.3521300
Contributors: Shumin Zhou; Hailan Ma; Sen Kuang; Daoyi Dong
Source: check_circle
Crossref

EGGen: Image Generation with Multi-entity Prior Learning through Entity Guidance

2024-10-28 | Conference paper
DOI: 10.1145/3664647.3680898
Contributors: Zhenhong Sun; Junyan Wang; Zhiyu Tan; Daoyi Dong; Hailan Ma; Hao Li; Dong Gong
Source: check_circle
Crossref

Curriculum-Based Deep Reinforcement Learning for Quantum Control

IEEE Transactions on Neural Networks and Learning Systems
2023-11 | Journal article
DOI: 10.1109/TNNLS.2022.3153502
Contributors: Hailan Ma; Daoyi Dong; Steven X. Ding; Chunlin Chen
Source: check_circle
Crossref

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

Journal of the Franklin Institute
2023-11 | Journal article
DOI: 10.1016/j.jfranklin.2022.06.014
Contributors: Shouliang Hu; Hailan Ma; Daoyi Dong; Chunlin Chen
Source: check_circle
Crossref

Deep Reinforcement Learning With Quantum-Inspired Experience Replay

IEEE Transactions on Cybernetics
2022-09 | Journal article
DOI: 10.1109/TCYB.2021.3053414
Contributors: Qing Wei; Hailan Ma; Chunlin Chen; Daoyi Dong
Source: check_circle
Crossref

Learning Control of Quantum Systems Using Frequency-Domain Optimization Algorithms

IEEE Transactions on Control Systems Technology
2021-07 | Journal article
DOI: 10.1109/TCST.2020.3018500
Contributors: Daoyi Dong; Chuan-Cun Shu; Jiangchao Chen; Xi Xing; Hailan Ma; Yu Guo; Herschel Rabitz
Source: check_circle
Crossref

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

IEEE Transactions on Cybernetics
2020-08 | Journal article
DOI: 10.1109/TCYB.2019.2921424
Contributors: Daoyi Dong; Xi Xing; Hailan Ma; Chunlin Chen; Zhixin Liu; Herschel Rabitz
Source: check_circle
Crossref

Peer review (2 reviews for 2 publications/grants)

Review activity for Engineering applications of artificial intelligence. (1)
Review activity for Quantum Machine Intelligence. (1)
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