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Scott Aaronson

Professor

Prior to coming to UT, Aaronson taught for nine years in Electrical Engineering and Computer Science at MIT. His primary area of research is theoretical computer science, and his research interests center around the capabilities and limits of quantum computers, and computational complexity theory more generally.

Research

Research Areas:
Research Interests:
  • The capabilities and limits of quantum computers
  • Computational complexity theory

Select Publications

Aaronson, S. 2013. Quantum Computing Since Democritus. Cambridge University Press.

Aaronson, S., Grier, D., Schaeefer, L. December 11, 2018. A Quantum Query Complexity Trichomy for Regular Languages. Cornell University.

Aaronson, S. August 7, 2018. Quantum Lower Bound for Approximate Counting Via Laurent Polynomials. Cornell University.

Aaronson, S., Chen, X., Hazan, E., Nayak, A. February 25, 2018. Online Learning of Quantum States. Proceedings of NIPS'2018. Cornell University.

Rocchetto, A., Aaronson, S., Severini, S. Carvacho, G., Poderini, D. November 30, 2017. Experimental Learning of Quantum States. Cornell University.

Awards & Honors

  • 2018 - Tomassoni-Chisesi Award
  • 2016 - Vannevar Bush Faculty Fellowship
  • 2015 - IT from Qubit: Simons Collaboration on Quantum Fields, Gravity, and Information
  • 2012 - Alan T. Waterman Award of the National Science Foundation
  • 2011 - Best Paper, International Computer Science Symposium in Russia
  • 2010 - US Presidential Early Career Award for Scientists and Engineers
  • 2009 - Junior Bose Teaching Award, MIT
  • 2009 - DARPA Young Faculty Award
  • 2009 - TIBCO Career Development Chair, MIT
  • 2009 - Sloan Research Fellowship