Adaptive Optimization of Wave Functions for Lattice Field Models
| dc.creator | Beccaria, Matteo | |
| dc.creator | Campostrini, Massimo | |
| dc.creator | Feo, Alessandra | |
| dc.date | 2001-09-13 | |
| dc.date.accessioned | 2026-07-07T03:38:31Z | |
| dc.date.available | 2026-07-07T03:38:31Z | |
| dc.description | The accuracy of Green Function Monte Carlo (GFMC) simulations can be greatly improved by a clever choice of the approximate ground state wave function that controls configuration sampling. This trial wave function typically depends on many free parameters whose fixing is a non trivial task. Here, we discuss a general purpose adaptive algorithm for their non-linear optimization. As a non trivial application we test the method on the two dimensional Wess-Zumino model, a relativistically invariant supersymmetric field theory with interacting bosonic and fermionic degrees of freedom. | |
| dc.description | 12 pages, 5 EPS figures, Contribution to the Proceedings of the "Quantum Monte Carlo" meeting (Trento, Italy, July 3-6, 2001) | |
| dc.identifier | https://arxiv.org/abs/hep-lat/0109005 | |
| dc.identifier | http://arxiv.org/abs/hep-lat/0109005 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/38563 | |
| dc.subject | High Energy Physics - Lattice | |
| dc.title | Adaptive Optimization of Wave Functions for Lattice Field Models | |
| dc.type | text |