LIN Xiaodie 林小蝶
Research Assistant Professor
xdlin@mae.cuhk.edu.hk
852 – 3943 5527
Room 111, William M.W. Mong Engineering Building
Xiaodie Lin received her B.Eng. degree in software engineering from Sun Yat-sen University, Guangdong, China, in 2019, and her Ph.D. degree in computer science and technology from the Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing, China, in 2024. She joined the College of Computer and Data Science, Fuzhou University, as an associate professor in August 2024. She is currently working as a research assistant professor at the Department of Mechanical and Automation Engineering, the Chinese University of Hong Kong, as of November 2024.
Research Interest
Quantum information and quantum computing
Quantum metrology
Quantum machine learning
Publications
Journal Papers
- Chen, Z., Lin, L., Lin, X.(𝛼–𝛽), Wei, Z., & Yao, P. (2024). The generations of classical correlations via quantum schemes. IEEE Transactions on Information Theory, 70(6), 4160- 4169.
- Lin, X., Chen, Z., & Wei, Z. (2023). Quantifying quantum entanglement via a hybrid quantum-classical machine learning framework. Physical Review A, 107(6), 062409.
- Lin, X., Chen, Z., & Wei, Z. (2023). Quantifying unknown entanglement by neural networks. Quantum Information Processing, 22(9), 341.
- Chen, Z., Lin, X., & Wei, Z. (2023). Certifying unknown genuine multipartite entanglement by neural networks. Quantum Science and Technology, 8(3), 035029.
- Guo, Y., Lin, L., Cao, H., Zhang, C., Lin, X., Hu, X. M., …& Guo, G. C. (2023). Experimental entanglement quantification for unknown quantum states in a semi-device- independent manner. Science China Information Sciences, 66(8), 180506.
- Lin, X.(𝛼–𝛽), Wei, Z., & Yao, P. (2021). Quantum and classical hybrid generations for classical correlations. IEEE Transactions on Information Theory, 68(1), 302-310. (α-β) denotes alphabetical ordering.