Hailan Ma

Orcid: 0000-0002-5039-9916

According to our database1, Hailan Ma authored at least 23 papers between 2015 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Learning Informative Latent Representation for Quantum State Tomography.
IEEE Trans. Emerg. Top. Comput. Intell., June, 2026

2025
Robustness analysis in static and dynamic quantum state tomography.
CoRR, December, 2025

Tomography of Quantum States From Structured Measurements via Quantum-Aware Transformer.
IEEE Trans. Cybern., June, 2025

Auxiliary Task-Based Deep Reinforcement Learning for Quantum Control.
IEEE Trans. Cybern., February, 2025

Control-Enhanced Quantum Metrology Guided by Pontryagin's Minimum Principle.
Proceedings of the 64th IEEE Conference on Decision and Control, 2025

2024
Neural networks for quantum state tomography with constrained measurements.
Quantum Inf. Process., September, 2024

EGGen: Image Generation with Multi-entity Prior Learning through Entity Guidance.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

2023
Curriculum-Based Deep Reinforcement Learning for Quantum Control.
IEEE Trans. Neural Networks Learn. Syst., November, 2023

Two-step robust control design of quantum gates via differential evolution.
J. Frankl. Inst., November, 2023

Attention-Based Transformer Networks for Quantum State Tomography.
CoRR, 2023

On compression rate of quantum autoencoders: Control design, numerical and experimental realization.
Autom., 2023

Guided Reward Design in Continuous Reinforcement Learning for Quantum Control.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Estimation of Quantum Channels Using Neural Networks.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Deep Reinforcement Learning With Quantum-Inspired Experience Replay.
IEEE Trans. Cybern., 2022

2021
Learning Control of Quantum Systems Using Frequency-Domain Optimization Algorithms.
IEEE Trans. Control. Syst. Technol., 2021

A comparative study on how neural networks enhance quantum state tomography.
CoRR, 2021

A Guided Differential Evolution Algorithm for Control Design of Quantum Gates.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

On how neural networks enhance quantum state tomography with limited resources.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020
Learning-Based Quantum Robust Control: Algorithm, Applications, and Experiments.
IEEE Trans. Cybern., 2020

Several developments in learning control of quantum systems.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

2017
Differential Evolution for Quantum Robust Control: Algorithm, Applications and Experiments.
CoRR, 2017

2015
Differential Evolution with Equally-Mixed Strategies for Robust Control of Open Quantum Systems.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

Ensemble control of open quantum systems using differential evolution.
Proceedings of the 10th Asian Control Conference, 2015


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