Hao Tang

Hao Tang is a professor at the School of Physics and Astronomy, Shanghai Jiao Tong University, where she is affiliated with the Institute of Optical Science and Technology. Her research focuses on quantum optics, quantum computing, and quantum algorithms, with an emphasis on experimental and theoretical exploration of quantum computing and quantum simulation on integrated photonics. She has contributed to the development of scalable photonic quantum computing and its applications in machine learning, finance, and optimization. Tang has received notable awards, including the Forbes China 30 under 30 award in 2019 and the Shanghai S&T 35U35 award in 2021. Her work includes theoretical and experimental efforts toward fault-tolerant universal photonic quantum computing, as well as quantum machine learning and quantum optimization.

Hao Tang is a professor at Shanghai Jiao Tong University, specializing in quantum computing, quantum optics, quantum simulation, and quantum machine learning. His research focuses on experimental implementations of quantum algorithms and photonic systems for quantum information processing. Tang's work includes quantum walks, quantum state learning, and topological photonics, with applications in quantum communication and computation. His publications explore photonic chips, quantum memory, and quantum machine learning techniques for tasks such as aerodynamic classification and quantum fast hitting. His research bridges theoretical quantum concepts with experimental platforms, emphasizing photonic integration and quantum coherence.