John Wright

Assistant Professor
Department of Computer Science, University of Texas at Austin

My research is in theoretical computer science, with an emphasis on quantum computing. More specifically, I work on quantum state learning, quantum complexity theory, property testing, and approximation algorithms.

Before joining UT Austin, I was at MIT and Caltech. I received my Ph.D. from Carnegie Mellon University, where I was advised by Ryan O'Donnell. I received my B.Sc. in computer science from UT Austin.


Other writings

Prior teaching

Fall 2020: CS395T: Advanced Quantum Complexity Theory
Fall 2015: 15-859BB: Quantum Computation and Information (Carnegie Mellon University)

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