Campus health and safety are our top priorities. 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. Scott Aaronson is the David J. Bruton Centennial Professor of Computer Science at the University of Texas at Austin. Alan T. Waterman Award of the National Science Foundation, 2011 - Advisor: Prof. Scott Aaronson (2013-2018) Ph.D. in the David R. Cheriton School of Computer Science and Institute for Quantum Computing at the University of Waterloo . The Blog of Scott Aaronson [isthisacoup.com] ... Here’s a podcast that I recently did with UT Austin undergraduate Dwarkesh Patel. Aaronson received his bachelor's from Cornell University, and his Ph.D. from UC Berkeley under Umesh Vazirani. Hardness for Classical Algorithm : Proof Sketch. Assuming QUATH, no polynomial-time classical algorithm can solve HOG with . Professor Scott Aaronson Named as ACM Fellow. Theorem.. Phone: 512.471.7316, Instructional Continuity and working from home, Machine Learning & Artificial Intelligence. GDC 4.422. Get help with Instructional Continuity and working from home. Vannevar Bush Faculty Fellowship, 2015 - MIT) July 7, 2017 17 / 29. . Ph.D. 2004, University of California, Berkeley, Quantum Computing Aaronson received his bachelor's from Cornell University, and his Ph.D. from UC Berkeley under Umesh Vazirani. CV. Quantum computing computational complexity. Before coming to UT, he spent nine years as a professor in Electrical Engineering and Computer Science at MIT. Aaronson, S., Chen, X., Hazan, E., Nayak, A. February 25, 2018. Computational Complexity. Scott Aaronson, Lijie Chen (UT Austin, Tsinghua UniversityComplexity-Theoretic Foundations of Quantum Supremacy Experiments! His recent interests include how to demonstrate a quantum computing speedup with the technologies of the near future (via proposals such as BosonSampling, which Aaronson introduced in 2011 with Alex Arkhipov); the largest possible quantum speedups over classical computing; the computational power of closed timelike curves; and the role of computational complexity in the black hole information paradox and the AdS/CFT correspondence. (As usual, I recommend 2x speed to compensate for my verbal tics.) Scott J Aaronson Professor Department of Computer Science David Bruton, Jr. Centennial Professorship in Computer Sciences #2 2317 Speedway, Stop D9500 He received his bachelor's from Cornell University and his PhD from UC Berkeley, and did postdoctoral fellowships at the Institute for Advanced Study as well as the University of Waterloo. This conversation is part of the Artificial Intelligence podcast. No verified email - Homepage. Articles Cited by Co-authors. Prior to coming to UT, Aaronson taught for nine years in Electrical Engineering and Computer Science at MIT. Homepage (512) 471-7797. aaronson@cs.utexas.edu. He’s received the National Science Foundation’s Alan T. Waterman Award, the United States PECASE Award, the Department of Defense Vannevar Bush Faculty Fellowship, and MIT's Junior Bose Award for Excellence in Teaching. This conversation is part of the Artifi… 2317 Speedway, Stop D9500 In addition to research, he writes a widely-read blog, and has written about quantum computing for Scientific American, the New York Times, and other popular venues. His research interests center around the capabilities and limits of quantum computers and computational complexity theory more generally. ... Scott Aaronson. Austin, TX 78712 College of Natural Sciences, University of Texas at Austin. Junior Bose Teaching Award, MIT, 2009 - . David J. Bruton Centennial Professor of Computer Science, University of Texas at Austin. 08/09/2017 - Computer scientist Scott Aaronson of The University of Texas at Austin has been selected as a 2017 Simons Investigator in Theoretical Computer Science by the Simons Foundation for his work in quantum computation. He also did postdoctoral fellowships at the Institute for Advanced Study in Princeton as well as at the University of Waterloo. His primary areas of research are quantum computing and computational complexity theory .

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