Decorrelation of samples in Quantum Monte Carlo calculations and scaling of autocorrelation time in Li and HO clusters
arXiv:0705.2553 · doi:10.1103/PhysRevB.76.033412
Abstract
We have investigated decorrelation of samples in Quantum Monte Carlo (QMC) ground-state energy calculations for large Li and HO nanoclusters. Binning data as a way of eliminating statistical correlations, as is the common practice, is found to become increasingly impractical as the system size grows. We demonstrate nevertheless that it is possible to perform accurate energy calculations - without decorrelating samples - by exploiting the scaling of the integrated autocorrelation time as a function of the number of electrons in the system.
arXiv comment4 pages, 2 figures, to appear in Phys. Rev. B
References in corpus (8)
- Wave function optimization in the variational Monte Carlo method
- Correlated geminal wave function for molecules: an efficient resonating valence bond approach
- Geminal wavefunctions with Jastrow correlation: a first application to atoms
- Energy and variance optimization of many body wave functions
- Pfaffian pairing wave functions in electronic structure quantum Monte Carlo
- Robust wave function optimization procedures in quantum Monte Carlo methods
- Optimization of Quantum Monte Carlo Wave Functions Using Analytical Energy Derivatives
- All-electron quantum Monte Carlo calculations for the noble gas atoms He to Xe