*Back in 2018 Raz and Tal proved something important, they did not prove
that a quantum computer could solve all nondeterministic polynomial time
problems in polynomial time, but they did prove that even if P=NP, and even
if we had a algorithm that could solve NP problems on a conventional
computer in polynomial time, there would STILL be a class of problems a
conventional computer couldn’t solve efficiently, but a quantum computer
could.  A conventional computer couldn't even efficiently verify that a
solution was correct, much less find it. This newly discovered class of
very exotic problems (they involve the distribution of random numbers) may
be of fundamental interest in themselves or they may be interesting for no
reason other than that a conventional computer can’t solve them but a
quantum computer can. Even if the problems turn out to be useless I think
this discovery is important because this is the first time anybody has
proven that there is at least one thing that a quantum computer is
fundamentally better at than can a conventional computer. *

*The following is a quote from the Raz and Tal paper:*



*"Can polynomial-time quantum algorithms be simulated by classical
algorithms in the polynomial-time hierarchy? In this paper, we show that in
the black-box model (also known as query-complexity or decision-tree
complexity), the answer is negative"*

Oracle Separation of BQP and PH ContactAdd CommentRSS-Feed
<https://eccc.weizmann.ac.il/report/2018/107/>

John K Clark    See what's on my new list at  Extropolis
<https://groups.google.com/g/extropolis>
cuq

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