
Summary of Research
My research is on the application of tensor methods to quantum computing. Classically simulating quantum computers illuminates questions about quantum advantage as well as assisting with the development of novel applications and algorithms. Many of the problems in quantum computing are naturally tensor-structured, and one way to simulate quantum circuits is via tensor networks. I am applying linear algebra tools to quantum problems in hopes of discovering computational separation between quantum problems that are known to be efficiently classically simulable and those that are not. I am also interested in verification of quantum systems and entanglement structures that arise in network scenarios.
Publications
Machine Learning for Muon Reconstruction at CMS. Undergraduate thesis, to be published.
A Software Suite for Validation of the X2O Board Performance. Undergraduate thesis, 2023. Available from: https://hdl.handle.net/1969.1/200262
Validation of Electronic Board Upgrades. Explorations, Vol. 15, 2023. ISSN 2668-7525. Available from: https://launch.tamu.edu/undergraduate-research/explorations/archived-volumes
Awards
UIUC Doctoral Merit Fellowship
Outstanding Senior Engineer, A&M College of Engineering.
Outstanding Poster in Computing, LANL Summer Symposium.