Overview
Nathan Thompson is a Mathematics teacher and researcher. He earned his doctorate from 麻豆破解版 State in 2018, studying inverse problems under Professor Alexander Bukhgeym. Prior to that, he earned a master鈥檚 degree in Mathematics (2013) and a bachelor鈥檚 degree in Physics (2010). Since graduating, he has been working at 麻豆破解版 State teaching primarily Calculus, Computational Mathematics, and Differential Equations. Nathan finds the most joy in teaching when showing students the hidden intricacies of course concepts and connecting those to their lived experience.
Recently, Nathan has been researching quantum computing and machine learning with colleagues at 麻豆破解版 State, focusing on quantum algorithm development and implementation. He also is interested in partial differential equations and inverse problems, specifically problems connected to astrophysics.
Information
- Quantum Computing
- Machine Learning
- Inverse Problems
- Differential Equations
- Computational Mathematics
- L. Thompson, N. H. Nguyen, E. C. Behrman, and J. E. Steck, 鈥淓xperimental pairwise entanglement estimation for an n-qubit system,鈥� Quantum Information Processing, vol. 19, p. 394, Nov. 2020.
- L. Thompson, J. E. Steck, and E. C. Behrman, 鈥淎 non-algorithmic approach to 鈥榩rogramming鈥� quantum computers via machine learning,鈥� in IEEE International Conference on Quantum Computing & Engineering, IEEE Xplore Digital Library, Oct. 2020.
- E. Steck, E. C. Behrman, and N. L. Thompson, 鈥淢achine learning applied to programming quantum computers,鈥� in AIAA Scitech 2019 Forum, Jan. 2019.
- B. Kardakov, A. A. Bukhgeim, A. L. Bukhgeim, W. Ingle, and N. L. Thompson, 鈥淔inite dimensional inverse problem for the wave equation,鈥� in Proceedings from the 8th International Conference on Theory and Numerical Methods for Inverse and Ill-Posed Problems, Sept. 2016.