On Wed, Nov 11, 2015 at 6:50 PM, John Clark <[email protected]> wrote:

> László Babai says he's found a
> ​​
>  algorithm that can solve the Graph
> ​ ​
> Isomorphism
> ​ ​
> Problem
> ​ ​
> in
> ​ ​
> Quasi-polynomial
> ​ ​
> Time, that is to say the difficulty in solving
> ​the problem​
>
> ​would ​
> grow with the size
> ​of​
>  the input much less than 2^n and just slightly more than n^2
> ​; that would be a huge improvement​
> . The Graph
> ​ ​
> Isomorphism
> ​ ​
> Problem
> ​ ​
> involves calculating if two complicated graphs are wired up the same way
> or not. If Babai's claim holds up you might not need a Quantum Computer if
> you wanted to do chemical experiments by way of electronic simulation and
> not in a messy lab, you might be able to do it with
> ​just ​
> a regular computer.
>

This is an exciting result indeed, but I'm not sure it is so relevant for
simulated chemistry. Aren't there NP-hard problems involved that have
nothing to do with graph isomorphism? Also, I think the molecular graph
isomorphism was already solvable in quadratic time because it's a simpler
problem: no self-loops, the vertices are labeled by a finite set (the
elements) and each label introduces further restriction on the degree of a
vertex.

Maybe I'm missing something?

Telmo.


> If Babai
> ​ ​
> 's claim holds up it would be the most important development in
> ​
> theoretical computer science in the last 10 years.
>
>
> http://news.sciencemag.org/math/2015/11/mathematician-claims-breakthrough-complexity-theory
> ​
>
>  John K Clark
>
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