Energy and variance optimization of many body wave functions

Physics – Condensed Matter – Other Condensed Matter

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

4 pages, 4 figures, minor corrections of inexact statements, missing 2

Scientific paper

10.1103/PhysRevLett.94.150201

We present a simple, robust and efficient method for varying the parameters in a many-body wave function to optimize the expectation value of the energy. The effectiveness of the method is demonstrated by optimizing the parameters in flexible Jastrow factors, that include 3-body electron-electron-nucleus correlation terms, for the NO$_2$ and decapentaene (C$_{10}$H$_{12}$) molecules. The basic idea is to add terms to the straightforward expression for the Hessian that are zero when the integrals are performed exactly, but that cancel much of the statistical fluctuations for a finite Monte Carlo sample. The method is compared to what is currently the most popular method for optimizing many-body wave functions, namely minimization of the variance of the local energy. The most efficient wave function is obtained by optimizing a linear combination of the energy and the variance.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Energy and variance optimization of many body wave functions does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Energy and variance optimization of many body wave functions, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Energy and variance optimization of many body wave functions will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-542919

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.