Di Fang, Assistant Professor

Contact Info:

Office Location:	515 S Mangum St, #5302, Durham, NC 27701
Office Phone:	+1 919 660 2800
Email Address:
Web Page:	http://math.duke.edu/~difang

Teaching (Fall 2024):

• MATH 555.01, ORDINARY DIFF EQUATIONS Synopsis

  Gross Hall 304B, WF 08:30 AM-09:45 AM

Education:

Ph.D.

University of Wisconsin, Madison

2019

Keywords:

Applied mathematics • Differential equations • Quantum computing

Recent Publications   (More Publications)

1. An, D; Fang, D; Jordan, S; Liu, J-P; Low, GH; Wang, J, Efficient quantum algorithm for nonlinear reaction-diffusion equations and energy estimation, in arXiv 2205.01141, Commun. Math. Phys., vol. 404 (October, 2023), pp. 963-1020 [doi]
2. Huang, H-Y; Tong, Y; Fang, D; Su, Y, Learning Many-Body Hamiltonians with Heisenberg-Limited Scaling., Physical review letters, vol. 130 no. 20 (May, 2023), pp. 200403 [doi]  [abs]
3. Fang, D; Vilanova, AT, Observable Error Bounds of the Time-Splitting Scheme for Quantum-Classical Molecular Dynamics, SIAM Journal on Numerical Analysis, vol. 61 no. 1 (February, 2023), pp. 26-44, Society for Industrial & Applied Mathematics (SIAM) [doi]
4. Fang, D; Lin, L; Tong, Y, Time-marching based quantum solvers for time-dependent linear differential equations, Quantum, vol. 7 (January, 2023) [doi]  [abs]
5. An, D; Fang, D; Lin, L, Parallel transport dynamics for mixed quantum states with applications to time-dependent density functional theory, Journal of Computational Physics, vol. 451 (February, 2022) [doi]  [abs]

Recent Grant Support

• Towards Quantum Speedup for Solving High-Dimensional Partial Differential Equations, National Science Foundation, 2023/10-2025/07.      
• Quantum Numerical Analysis for High-dimensional Differential Equations, Oak Ridge Associated Universities, 2024/06-2025/05.