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Hi, I'm the author of these articles.

I'm a physicist, and it always bugged me that we use Hamiltonians/energy/interactions to define spin glasses. I wondered if it'd be possible to just use raw probabilities on a grid and get the same/similar behaviour (eg. phase transitions, long-range correlations, etc).

So I played around with this idea for quite a while by running MC simulations, and ended up writing these articles (on my blog) about it.

But beware (i) none of this is peer-reviewed and (ii) I'm not a practicing academic physicist [so I may have missed things that would be obvious to a practicing academic physicist].

If anybody is interested in this, hit me up, happy to speak and/or play with the topic again.



What do you mean peer reviewed? This is the standard textbook way of numerically studying Ising models.


Re peer review: nobody has proof-read what I wrote or checked the code for bugs.

Re standard textbook: I've never seen a physics textbook define spin glasses using just probabilities, without the energy picture.




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