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arxiv: cond-mat/0101465 · v1 · submitted 2001-01-31 · ❄️ cond-mat.str-el

Stochastic gradient approximation method applied to Hubbard model

classification ❄️ cond-mat.str-el
keywords variationalwaveapproximationfunctionsgradienthubbardmethodmodel
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The two-dimensional Hubbard model is studied using the variational quantum Monte Carlo technique with Gutzwiller-type variational wave functions. In addition to the simple one-site correlated Gutzwiller wave function, we use a form with correlation between electrons on nearest- and next-nearest-neighbor sites. We show that the stochastic gradient approximation method suits very well for the optimization of the free parameters of the variational wave functions.

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