Tao Xin
Associate Researcher

Xin Tao , who is currently an assistant researcher at the Institute of Quantum Science and Engineering of Southern University of Science and Technology. He graduated from the Department of Physics of Tsinghua University in advance in 2018, and received a Ph.D. From 2015 to 2016, he visited the Institute for Quantum Computing of the University of Waterloo in Canada as a visiting scholar. He has focused on spin quantum dynamics research for a long time. His main research directions are spin-based systems for quantum information processing, efficient quantum state measurement and reconstruction, the applications of hybrid quantum-classical algorithms in quantum problems, and development of benchtop nuclear magnetic resonance instruments for quantum computing and quantum education. Now he has published nearly 30 SCI papers in academic journals such as Physical Review Letters, npj Quantum Information, Physical Review A, Science Bulletin (including 13 first-author/co-authors/ corresponding authors). He is also invited as the referees of the professional journals such as PRL, PRA, Scientific Reports, SCPMA, IEEE, EPL, and Quantum Engineering, and he has applied for 2 related technology patents, and is hosting the grants from the Young Program of the National Natural Science Foundation of China and Surface project of Guangdong Basic and Applied Basic Research Foundation.

Educational Background

  1. 08-2018.01, Ph. D. in Physics Science, Department of Physics, Tsinghua University, China
  2. 03-2016.03, Academic Visitor, The Institute of Quantum Computing, University of Waterloo, Canada
  3. 08-2013.07, Bachelor of Physics, Department of Physics, Harbin Institute of Technology, China

Working Experience

  1. 04-now, Assistant Researcher, Shenzhen Institute for Quantum science and Engineering, Southern University of Science and Technology
  2. 02-2018.03, Academic Visitor, Department of Physics, Southern University of Science and Technology

Research interests:

  1. Spin-based Quantum Computing, Algorithm and Simulation
  2. Efficient Quantum State Tomography and Quantum State Readout
  3. Hybrid Quantum-Classical Algorithms for Quantum Information Processing
  4. Research and Development for Benchtop NMR Quantum Computing


  1. Tao Xin, Sirui Lu, Ningping Cao, Galit Anikeeva, Dawei Lu, Jun Li, Guilu Long, and Bei Zeng. Local-measurement-based quantum state tomography via neural networks (2019). npj Quantum Information5(1), 1-8.
  2. Jingwei Wen, Chao Zheng, Xiangyu Kong, Shijie Wei, Tao Xin, and Guilu Long. Experimental demonstration of a digital quantum simulation of a general PT-symmetric system (2019). Physical Review A99(6), 062122.
  3. Xin, Tao, Shilin Huang, Sirui Lu, Keren Li, Zhihuang Luo, Zhangqi Yin, Jun Li, Dawei Lu, Guilu Long, and Bei Zeng. "NMRCloudQ: a quantum cloud experience on a nuclear magnetic resonance quantum computer." Science Bulletin 63, no. 1 (2018): 17-23.
  4. Xin, Tao, Dawei Lu, Joel Klassen, Nengkun Yu, Zhengfeng Ji, Jianxin Chen, Xian Ma, Guilu Long, Bei Zeng, and Raymond Laflamme. "Quantum state tomography via reduced density matrices." Physical review letters 118, no. 2 (2017): 020401.
  5. Lu, Dawei, Tao Xin, Nengkun Yu, Zhengfeng Ji, Jianxin Chen, Guilu Long, Jonathan Baugh, Xinhua Peng, Bei Zeng, and Raymond Laflamme. "Tomography is necessary for universal entanglement detection with single-copy observables." Physical review letters116, no. 23 (2016): 230501.