Research Interests |
AI for Science; Quantum Machine Learning
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Publications |
Y. Zhu, Y.D. Wu, G. Bai, D. S. Wang, Y. Wang, G. Chiribella. Flexible learning of quantum states with generative query neural networks. Nat Commun 13, 6222 (2022).
Y.D. Wu, Y. Zhu, G. Bai, Y. Wang, G. Chiribella. Quantum Similarity Testing with Convolutional Neural Networks. Physical Review Letters 130.21 (2023): 210601. G. Bai, Y.D. Wu, Y. Zhu, M. Hayashi, G. Chiribella. Quantum causal unravelling. npj Quantum Information 8.1 (2022): 69. Y. Zhu, G. Bai, Y. Wang, T. Li, G. Chiribella. Quantum autoencoders for communication-efficient cloud computing.. Quantum Machine Intelligence 5.2 (2023): 27. Y. Zhu, Y.D. Wu, Q. Liu, Y. Wang, G. Chiribella. Quantum Process Learning Through Neural Emulation. arXiv:2308.08815 (2023). Y.D. Wu, Y. Zhu, Y. Wang, G. Chiribella. Learning Global Quantum Properties from Local Measurements with Neural Networks. arXiv:2310.11807 (2023). M. Liao, Y. Zhu, G. Chiribella, Y. Yang. Flexible Error Mitigation of Quantum Processes with Data Augmentation Empowered Neural Model. arXiv:2311.01727 (2023). |
Awards |
2023 HKU Foundation Publication Award for Research Postgraduate Students
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CV |
My CV can be found here.
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