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Cornell Bowers CIS welcomes 13 faculty members
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Resources for Learning Computational Complexity Theory
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IMAGE: Scott Aaronson, a Professor of Computer Science at the University of Texas, Austin, has been selected as the recipient of the 2020 ACM Prize in Computing. Aaronson is recognized for. view more
Credit: Association for Computing Machinery
ACM, the Association for Computing Machinery, today announced that Scott Aaronson has been named the recipient of the 2020 ACM Prize in Computing for groundbreaking contributions to quantum computing. Aaronson is the David J. Bruton Jr. Centennial Professor of Computer Science at the University of Texas at Austin.
The goal of quantum computing is to harness the laws of quantum physics to build devices that can solve problems that classical computers either cannot solve, or not solve in any reasonable amount of time. Aaronson showed how results from computational complexity theory can provide new insights into the laws of quantum physics, and brought clarity to what quantum computers will, and will not, be able to do.
Avi Wigderson GS 83 awarded Abel Prize - The Princetonian
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Instructor:
Teaching Fellow:
Gal Koplewitz, galkop@gmail.com. Office hours: Thursdays 3-4, Maxwell Dworkin second floor lounge.
This course examines papers every computer scientist should have read, from the 1930s to the present. It is meant to be a synthesizing experience for advanced students in computer science: a way for them to see the field as a whole, not through a survey, but by reliving the experience of its creation. The idea is to create a unified view of the field of computer science, for students who already know something about it, by replaying its entire evolution at an accelerated frame rate.