Research Expertise and Interest

quantum state learning, quantum complexity theory, property testing, approximation algorithms

Research Description

John Wright is an assistant professor in Berkeley Electrical Engineering and Computer Science.  His research is in theoretical computer science, with an emphasis on quantum computing. More specifically, he works on quantum state learning, quantum complexity theory, property testing, and approximation algorithms.

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