Kevin Stubbs, Research Assistant, Ph D Student

Doctor of Philosophy (PhD) Candidate
My interests lie at the intersection between mathematics, signal processing, and physics with a particular focus on efficient algorithms for high dimensional problems. My current work focuses on tensor network representations and quantum information theory.

Education

Doctor of Philosophy
Duke University (Durham, NC, USA) 2015-

Bachelor of Science
with High Honors, Mathematics
University of Maryland -- College Park (College Park, MD, USA) 2011-2015

Bachelor of Science
cum laude, Computer Engineering
University of Maryland -- College Park (College Park, MD, USA) 2011-2015

Office Location:	274E Physics
Office Phone:	660-2855
Email Address:

Recent Publications

1. Stubbs, KD; Watson, AB; Lu, J, Iterated projected position algorithm for constructing exponentially localized generalized Wannier functions for periodic and nonperiodic insulators in two dimensions and higher, Physical Review B, vol. 103 no. 7 (February, 2021) [doi]  [abs]
2. Brandsen, S; Lian, M; Stubbs, KD; Rengaswamy, N; Pfister, HD, Adaptive Procedures for Discriminating Between Arbitrary Tensor-Product Quantum States, Ieee International Symposium on Information Theory Proceedings, vol. 2020-June (June, 2020), pp. 1933-1938 [doi]  [abs]
3. Brandsen, S; Stubbs, KD; Pfister, HD, Reinforcement Learning with Neural Networks for Quantum Multiple Hypothesis Testing, Ieee International Symposium on Information Theory Proceedings, vol. 2020-June (June, 2020), pp. 1897-1902, ISBN 9781728164328 [doi]  [abs]
4. Czaja, W; Manning, B; Murphy, JM; Stubbs, K, Discrete directional Gabor frames, Applied and Computational Harmonic Analysis, vol. 45 no. 1 (July, 2018), pp. 1-21, Elsevier BV [doi]