Optimization of quantum Monte Carlo wavefunctions using analytical derivatives
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We show how to optimize many-parameter wavefunctions for use in quantum Monte Carlo by deriving and utilizing formulas for analytical rather than numerical evaluation of the required derivatives. We present these in a form which is easily vectorizable for use on a supercomputer. We also discuss several technical issues of variational Monte Carlo to ensure both an unbiased and efficient optimization. Finally, we illustrate our optimization scheme's numerical performance by optimizing ground-state wavefunctions for LiH and H2O, each with more than 100 variational parameters. Keywords: quantum Monte Carlo, optimization, electron correlation, LiH, H2O.
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1996 ◽
Vol 105
(17)
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pp. 7573-7578
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2013 ◽
Vol 91
(7)
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pp. 505-510
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2013 ◽
Vol 9
(2)
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pp. 1081-1086
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2015 ◽
Vol 142
(11)
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pp. 114114
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2000 ◽
Vol 113
(15)
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pp. 6154-6159
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