Leveraging Machine Learning to Alleviate Hubbard Model Sign Problems — mentioned by evanb

Sat, 05 Feb 2022 21:30:59 GMT

When my collaborators and I published our LQCD computation of the nucleon axial coupling I wrote this http://evanberkowitz.com/2018/05/30/gA.html though I did not get into the technical details of gauge invariance. We can use neural networks in some steps but not in others. The main use seems to be in the generation of gauge configurations (states of the Markov chains we use). We can use neural networks there because we alway do our Metropolis-Hastings accept/reject step according to the ‘true’ action, which corrects any numerical errors introduced by the ML approximation. There are different…

Paper and discussion history. A mention is not an endorsement.

Leveraging Machine Learning to Alleviate Hubbard Model Sign Problems · HackerPapers discussions

Leveraging Machine Learning to Alleviate Hubbard Model Sign Problems — mentioned by evanb