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I'll also say something about the ultimate physical limits of computation, and about speculative proposals for going beyond even quantum computers. Bruton Centennial Professor of Computer Science at the University of Texas at Austin.
He's received the National Science Foundation's Alan T.
We pay particular attention to Newton-Sketch and subsampled Newton methods, as well as techniques for solving the Newton equations approximately.
Our tests are performed on a collection of optimization problems arising in machine learning.
Abstract I'll offer a crash course on quantum computing, which seeks to exploit the strange rules of quantum physics to solve certain problems dramatically faster than we know how to solve them with any existing computer.
I promise no hype: just a a sober summary of how a quantum computer would actually work (hint: it's not just by "trying every possible answer in parallel"), for which problems quantum computers are and aren't expected to provide an advantage, and the current status of the worldwide effort to make quantum computing practical---and even more immediately, to achieve the first demonstration of "quantum supremacy," or a clear quantum speedup for some task (which might be a contrived one).