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David Gosset is an Associate Professor at the University of Waterloo, affiliated with the Institute for Quantum Computing. His research focuses on the theoretical aspects of quantum computing, including quantum algorithms and quantum complexity theory. Previously, he worked as a research staff member and manager of the Theory Quantum Algorithms group at IBM T.J. Watson Research Center. With a PhD in Physics from MIT, where he studied under Eddie Farhi, David has made significant contributions to understanding quantum partition functions and improved upper bounds on stabilizer rank and magic states. His numerous publications address various problems within quantum computing, including approximation algorithms for quantum many-body problems and classical simulation of quantum circuits. David has received multiple awards such as the Outstanding Paper Award at TQC 2019 and the Pat Goldberg Memorial Paper Award from IBM Research in 2016 and 2018. He is also a CIFAR fellow in the quantum information science program and an associate faculty member at the Perimeter Institute for Theoretical Physics.
IBM T.J. Watson Research Center • New York, USA
Managed the Theory Quantum Algorithms group.
Institute for Quantum Computing, University of Waterloo • Waterloo, Ontario, Canada
Conducted research in quantum computing.
California Institute of Technology • Pasadena, California, USA
Focused on quantum algorithms.
Includes fields like Clinical, Cognitive, Developmental, and Industrial/Organizational Psychology.