李俊宁 Juning Li

2021-03-25

Education

2018.09-current City University of Hong Kong, HK SAR.

PhD in Physics

  • Research in optimal controls for quantum parameter estimation with reinforcement learning, quantum control problems in superconducting qubit systems.
  • Supervisor: WANG, Xin.

2014.09-2017.06 Wuhan University, Wuhan, Hubei.

   Master of Science in Theoretical Physics

  • Research in Density Functional Theory simulation calculations.
  • Supervisor: WANG, Yu.

2010.09 – 2014.06 Sun Yat-Sen University, Guangzhou, Guangdong.

   Bachelor of Science in Theoretical and Applied Mechanics

 

Research areas(Quantum control),xxx

  • Quantum optimal controls for state preparation in quantum metrology with reinforcement learning methods.
  • Quantum control in circuit QED superconducting qubit systems, with smooth pulses in two qubits systems.
  • Ab initio molecular dynamics (AIMD) simulations. Using DFT (density functional theory) based packages figuring out molecular stable configurations, small molecules adsorption and dissociation processes on surface, etc. (Master’s degree)

 

Awards

Publications:

Junning Li, Yu Wang, Davide Curcio, Silvano Lizzit, Alessandro BaraldiLev Kantorovich, and Andrea Floris. Ethylene Dissociation on Ni3Al(111). J. Phys. Chem. C, 2017, 121 (14): 7967–7976.

Xu, H., Li, J., Liu, L. et al. Generalizable control for quantum parameter estimation through reinforcement learning. npj Quantum Information, 5, 82 (2019).

Projects

2015: DFT simulation about Ethylene Dissociation on metallic alloy surface.

2018: Optimal control for single qubit parameter estimation with reinforcement learning.

2019: Entangled qubits control with smooth parametric pulses in transmon qubits through reinforcement learning.