Stochastic gradient approximation method applied to Hubbard model
| dc.creator | Harju, A. | |
| dc.date | 2001-01-31 | |
| dc.date.accessioned | 2026-07-07T02:40:14Z | |
| dc.date.available | 2026-07-07T02:40:14Z | |
| dc.description | 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. | |
| dc.description | 5 pages, 4 Postscript figures | |
| dc.identifier | https://arxiv.org/abs/cond-mat/0101465 | |
| dc.identifier | http://arxiv.org/abs/cond-mat/0101465 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/17309 | |
| dc.subject | Strongly Correlated Electrons | |
| dc.title | Stochastic gradient approximation method applied to Hubbard model | |
| dc.type | text |