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  1. I'm Schlumberger Centennial Chair of Computer Science at The University of Texas at Austin, and director of its Quantum Information Center. My research interests center around the capabilities and limits of quantum computers, and computational complexity theory more generally.

    • Talks

      Talks - Scott Aaronson

    • Papers

      S. Aaronson and S. Hung. Certified Randomness from Quantum...

    • FAQ

      Q: Dr. Aaronson, while your writings are of some interest,...

    • PhD Thesis

      PhD thesis of Scott Aaronson Filed in Fall 2004. 258 pages,...

  2. Scott Joel Aaronson (born May 21, 1981) is an American theoretical computer scientist and Schlumberger Centennial Chair of Computer Science at the University of Texas at Austin. His primary areas of research are computational complexity theory and quantum computing.

  3. Scott Aaronson is a mathematician and blogger who writes about his research, opinions, and experiences. In this post, he rants about the London Science Museum, where he and his son faced rude staff, long lines, and boring exhibits.

  4. www.scottaaronson.com › vitaScott Aaronson

    Scott Aaronson. Schlumberger Chair of Computer Science Director, Quantum Information Center Department of Computer Science The University of Texas at Austin Austin, TX USA aaronson@utexas.edu www.scottaaronson.com. July 21, 2023. Education. Cornell University (Ithaca, NY), 1997-2000. B.Sc. in Computer Science with Honors (Minor in Mathematics).

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  5. Aug 26, 2018 · The Blog of Scott Aaronson If you take nothing else from this blog: quantum computers won't solve hard problems instantly by just trying all solutions in parallel.

  6. S. Aaronson and S. Hung. Certified Randomness from Quantum Supremacy, in Proceedings of ACM STOC'2023, arXiv:2303.01625 . We propose an application for near-term quantum devices: namely, generating cryptographically certified random bits, to use (for example) in proof-of-stake cryptocurrencies.

  7. Apr 7, 2014 · Scott Aaronson is an associate professor of electrical engineering and computer science at MIT, who studies the relationship between complexity and quantum physics. He is known for his work on quantum complexity theory, the P = NP problem, and the collision problem.