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Sunday, January 3, 2016

Non-deterministic DMRG in the ALPS package

Reddit Enhancement Suite Hey /r/Physics,

I'm a post-grad student working on some research in condensed matter theory utilizing DMRG techniques. Due to the short length of my project I'm using the the DMRG algorithm supplied with the ALPS package, since coding my own isn't an option. However the results I'm getting from the algorithm appear to be non-deterministic, that is the result changes on each run despite the input parameters remaining constant. DMRG is a deterministic algorithm, the result should be the same every time for a given set of inputs. I was wondering if any of the researchers that frequent this subreddit happen to use the ALPS package and/or have some experience using DMRG and would be able to lend some explanation.

The model I'm using is not complex, simple Heisenberg chains/ladders that use a simple hamiltonian, a model which is actually built into the package. I've already sent a message to the user mailing list but the message is still in review by the maintainer, had been for several weeks. I've scoured the docs and had a look through the source code, as much as I could, trying to find the answer but have come up empty, although I have a suspicion it could be the implementation of lanzcos in the DMRG algorithm.

Thanks

PS. Couldn't figure out how to add the [QUESTION] flair to the post title, sorry.



Submitted January 03, 2016 at 12:25PM by Dystopian_Satire http://ift.tt/1P9CXt4

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