Nolan Coble

Nolan Coble

Graduate Student, University of Maryland

Nolan Coble is a fourth-year computer science PhD student at the University of Maryland advised by Matthew Coudron and Alexander Barg. He received his Bachelor’s degree in math and physics from SUNY Brockport.

Nolan’s research interests are in classical and quantum error-correction, and their uses in Hamiltonian complexity and theoretical computer science, in general.

Program Visits

Quantum Algorithms, Complexity, and Fault Tolerance, Spring 2024, Visiting Graduate Student