Quantum computation is a fascinating new
area that touches upon the foundations of both quantum
physics and computer science. Quantum computers can
perform certain tasks, such as factoring, exponentially
faster than classical computers.
Over the last couple of years, we have achieved a deeper
understanding of quantum algorithms in terms of properties
of Fourier transforms over discrete groups. This talk will
provide a survey of quantum computation from this viewpoint.
The talk is intended for a general audience.
About Umesh V. Vazirani
Umesh Vazirani is widely recognized as a leader in the area of quantum computing. He is a Professor of Computer Science at the University of California, Berkeley, from where he received his Ph.D. in 1986. Vazirani co-authored An Introduction to Computational Learning Theory with Michael Kearns, and is on the International Advisory Board for the Journal of Quantum Computing. He received an NSF Presidential Young Investigator Award in 1987 and the Friedman Mathematics Prize in 1985.