Stochastic Gradient Approximation: An Efficient Method to Optimize Many-Body Wave Functions

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© 1997 American Physical Society (APS). This is the accepted version of the following article: Harju, A. & Barbiellini, B. & Siljamäki, S. & Nieminen, Risto M. & Ortiz, G. 1997. Stochastic Gradient Approximation: An Efficient Method to Optimize Many-Body Wave Functions. Physical Review Letters. Volume 79, Issue 7. 1173-1177. ISSN 0031-9007 (printed). DOI: 10.1103/physrevlett.79.1173, which has been published in final form at http://journals.aps.org/prl/abstract/10.1103/PhysRevLett.79.1173.
Journal Title
Journal ISSN
Volume Title
School of Science | A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
Date
1997
Major/Subject
Mcode
Degree programme
Language
en
Pages
1173-1177
Series
Physical Review Letters, Volume 79, Issue 7
Abstract
A novel, efficient optimization method for physical problems is presented. The method utilizes the noise inherent in stochastic functions. As an application, an algorithm for the variational optimization of quantum many-body wave functions is derived. The numerical results indicate superior performance when compared to traditional techniques.
Description
Keywords
many-body wave functions, stochastic functions, noise
Other note
Citation
Harju, A. & Barbiellini, B. & Siljamäki, S. & Nieminen, Risto M. & Ortiz, G. 1997. Stochastic Gradient Approximation: An Efficient Method to Optimize Many-Body Wave Functions. Physical Review Letters. Volume 79, Issue 7. 1173-1177. ISSN 0031-9007 (printed). DOI: 10.1103/physrevlett.79.1173.