This talk is today at 4pm. The main technical heavy lifting is classical
but it solves a long-standing problem in quantum complexity theory.
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From: <calendar(a)csail.mit.edu>
Date: Tue, Nov 27, 2018 at 12:01 AM
Subject: [Theory-seminars] TALK: Tuesday 11-27-2018 Avishay Tal: Oracle
Separation of BQP and the Polynomial Hierarchy
To: <seminars(a)csail.mit.edu>du>, <theory-seminars(a)csail.mit.edu>
Avishay Tal: Oracle Separation of BQP and the Polynomial Hierarchy
*Seminar Series:* Theory of Computation (TOC) 2018
*Speaker:* Avishay Tal, Simons Instititue & Stanford University
*Host:* Virginia Vassilevska Williams
*Date:* Tuesday, November 27, 2018
*Time:* 4:00 PM to 5:00 PM
*Location:* Patil/Kiva G449
Abstract:
In their seminal paper, Bennett, Bernstein, Brassard and Vazirani
[SICOMP, 1997] showed that relative to an oracle, quantum algorithms
are unable to solve NP-complete problems in sub-exponential time
(i.e., that Grover's search is optimal in this setting).
In this work, we show a strong converse to their result. Namely, we
show that, relative to an oracle, there exist computational tasks that
can be solved efficiently by a quantum algorithm, but require
exponential time for any algorithm in the polynomial hierarchy. (The
polynomial hierarchy is a hierarchy of complexity classes that
captures P, NP, coNP, and their generalizations.)
The tasks that exhibit this "quantum advantage" arise from a
pseudo-randomness approach initiated by Aaronson [STOC, 2010]. Our
core technical result is constructing a distribution over Boolean
strings that "look random" to constant-depth circuits of
quasi-polynomial size, but can be distinguished from the uniform
distribution by very efficient quantum algorithms.
Joint work with Ran Raz.
For more information please contact: Deborah Goodwin, 617.324.7303,
dlehto(a)csail.mit.edu
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