Travis Hurant defends his PhD

Travis Hurant successfully defended his thesis on "Statistical and Adaptive Methods for Calibration, Benchmarking, and Execution of Quantum Computers."  The thesis includes Bayesian Robust Phase Estimation characterization and Error Per Circuit Layer benchmarking and more results to be posted soon. Congrats to Travis!

Thanks to Profs. Norbert Linke, Crystal Noel, Iman Marvian, and Henry Pfister for serving on the committee. 

Thanks to the ARO, IARPA, and NSF for funding this work.