Ai Hao (艾浩) is good at quantum physics and artificial intelligence (deep learning), including graph neural networks, reinforcement learning, physics-informed neural networks, the numerical simulations for quantum systems, superconducting quantum circuits, and quantum optics.

Ai Hao has wide range of interests, such as stock investment, photography, chinese history, science fiction, and dogs.

Publications:

• Hao Ai, Guo-Zheng Zhu, Yu-xi Liu, Mitigating multiple frequency-dependent errors in superconducting quantum chips using message-passing neural networks, Physical Review A, 112, 032622 (2025).
• Hao Ai, Yu-xi Liu, Scalable Parameter Design for Superconducting Quantum Circuits with Graph Neural Networks, Physical Review Letters, 135, 040601 (2025).
• Hao Ai, Ying-Yü Fang, Cheng-Rui Feng, Zhihui Peng, Ze-Liang Xiang, Multinode State Transfer and Nonlocal State Preparation via a Unidirectional Quantum Network, Physical Review Applied, 17, 054021 (2022).