- 职    务:无
 
                                    - 所在梯队:泛函微分方程与生物动力系统梯队
 
                                                - 本科生课程:微积分,概率论与数理统计
 
                                    - 研究生课程:矩阵理论
 
                      
                    
                              
            教育经历
            2013.07--2015.06 澳大利亚国立大学,计算机科学与工程学院,博士后
2008.09--2013.06 中国科学院数学与系统科学研究院,概率论与数理统计专业 (理学博士)
2004.09--2008.06 山东大学,基础数学专业(理学学士)
           
                              
            
工作经历
            2015.07-至今 350vip8888新葡的京集团          
                              
            
科研业绩
            代表性论著:
1. Fu, S., Luo, S., & Zhang, Y. (2022). On Non-Convexity of the Nonclassicality Measure via Operator Ordering Sensitivity. Frontiers in Physics.
2. Fu, S., & Luo, S. (2022). From wave-particle duality to wave-particle-mixedness triality: an uncertainty approach. Communications in Theoretical Physics, 74.
3. Fu, S., & Luo, S. (2021). Quantifying Decoherence via Increases in Classicality. Entropy, 23.
4. Fu, S., Luo, S., & Zhang, Y. (2021). Detecting Gaussian entanglement via local quantities. Europhysics Letters, 135.
5. Fu, S., Luo, S., & Zhang, Y. (2020). From squeezing to Gaussian entanglement via beamsplitters. Journal of Physics B: Atomic, Molecular and Optical Physics, 53.
6. Fu, S., Luo, S., & Zhang, Y. (2020). Quantifying non-Gaussianity of bosonic fields via an uncertainty relation. Physical Review A, 101.
7. Fu, S., Luo, S., & Zhang, Y. (2020). Gaussian states as minimum uncertainty states. Physics Letters A, 384, 126037