- 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 beat365
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