Nathan Thompson is a Mathematics teacher and researcher. He earned his doctorate from Wichita State in 2018, studying inverse problems under Professor Alexander Bukhgeym. Prior to that, he earned a master’s degree in Mathematics (2013) and a bachelor’s degree in Physics (2010). Since graduating, he has been working at Wichita 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 Wichita State, focusing on quantum algorithm development and implementation. He also is interested in partial differential equations and inverse problems, specifically problems connected to astrophysics.


Areas of Research Interest
  • Quantum Computing
  • Machine Learning
  • Inverse Problems
Areas of Teaching Interest
  • Differential Equations
  • Computational Mathematics
  • L. Thompson, N. H. Nguyen, E. C. Behrman, and J. E. Steck, “Experimental pairwise entanglement estimation for an n-qubit system,” Quantum Information Processing, vol. 19, p. 394, Nov. 2020.
  • L. Thompson, J. E. Steck, and E. C. Behrman, “A non-algorithmic approach to ‘programming’ quantum computers via machine learning,” in IEEE International Conference on Quantum Computing & Engineering, IEEE Xplore Digital Library, Oct. 2020.
  • E. Steck, E. C. Behrman, and N. L. Thompson, “Machine learning applied to programming quantum computers,” in AIAA Scitech 2019 Forum, Jan. 2019.
  • B. Kardakov, A. A. Bukhgeim, A. L. Bukhgeim, W. Ingle, and N. L. Thompson, “Finite dimensional inverse problem for the wave equation,” in Proceedings from the 8th International Conference on Theory and Numerical Methods for Inverse and Ill-Posed Problems, Sept. 2016.