Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

APS

Optimized Non-Orthogonal Localized Orbitals for Linear Scaling Quantum Monte Carlo calculations

Andrew Williamson, Fernando Agustín Reboredo, Giulia Galli

Published Mar 1, 2004• 0 citations
OpenAlex

Related papers

Linear-scaling local wave functions for ground and excited states in quantum Monte Carlo: A route to large biomolecules

Habiburrahman Zulfikri, C. Amovilli, Claudia Filippi

•Jun 8, 2015•0 citations

IMPROVED SCALING IN DIFFUSION QUANTUM MONTE CARLO WITH LOCALIZED MOLECULAR ORBITALS

Arne Lüchow, Sebastian Manten

Recent advances in computational•Feb 1, 2002•4 citations

Optimized Non-Orthogonal Localized Orbitals for Electronic Structure Calculations: Improved Linear Scaling Quantum Monte Carlo

Fernando Agustín Reboredo, Andrew Williamson

We derive an automatic procedure for generating a set of highly localized, non-orthogonal orbitals for linear scaling quantum Monte Carlo calculations. We demonstrate the advantage of these orbitals in calculations of the total energy of both semiconducting and metallic systems by studying bulk silicon and the homogeneous electron gas. For silicon, the improved localization of these orbitals reduces the computational time by a factor five and the memory by a factor of six compared to localized, orthogonal orbitals. For jellium, we demonstrate that the total energy is converged for orbitals truncated within spheres with radii 7-8 $r_s$, opening the possibility of linear scaling QMC calculations for realistic metallic systems.

arXiv:cond-mat/0407184•Jul 7, 2004•0 citations

Optimized nonorthogonal localized orbitals for linear scaling quantum Monte Carlo calculations

Fernando Agustín Reboredo, Andrew Williamson

We derive an automatic procedure for generating a set of highly localized, nonorthogonal orbitals for linear scaling quantum Monte Carlo (QMC) calculations. We demonstrate the advantage of these orbitals for calculating the total energy of both semiconducting and metallic systems by studying bulk silicon and the homogeneous electron gas. For silicon, the improved localization of these orbitals reduces the computational time by a factor of 5 and the memory by a factor of 6 compared to localized, orthogonal orbitals. For jellium at typical metallic densities, we demonstrate that the total energy is converged to 3 meV per electron for orbitals truncated within spheres with radii $7{r}_{s}$, opening the possibility of linear scaling QMC calculations for realistic metallic systems.

Physical Review B•Mar 23, 2005•39 citations

Optimum scaling in a Monte Carlo method for quantum chemistry

Eduardo Alberto Castro

International Journal of Quantum Chemistry•Mar 1, 1978•1 citation

Linear-scaling quantum Monte Carlo technique with non-orthogonal localized orbitals

Dario Alfè, Michael J. Gillan

We have reformulated the quantum Monte Carlo (QMC) technique so that a large part of the calculation scales linearly with the number of atoms. The reformulation is related to a recent alternative proposal for achieving linear-scaling QMC, based on maximally localized Wannier orbitals (MLWO), but has the advantage of greater simplicity. The technique we propose draws on methods recently developed for linear-scaling density functional theory. We report tests of the new technique on the insulator MgO, and show that its linear-scaling performance is somewhat better than that achieved by the MLWO approach. Implications for the application of QMC to large complex systems are pointed out.

arXiv:cond-mat/0404578•Journal of Physics Condensed Matter•Jun 7, 2004•38 citations
We derive an automatic procedure for generating a set of highly localized, non-orthogonal orbitals for linear scaling quantum Monte Carlo calculations. We demonstrate the advantage of these orbitals in calculations of the total energy of both semiconducting and metallic systems by studying bulk silicon and the homogeneous electron gas. For silicon, the improved localization of these orbitals reduces the computational time by a factor five and the memory by a factor of six compared to localized, orthogonal orbitals. For jellium, we demonstrate that the total energy is converged for orbitals truncated within spheres with radii 7-8 rsr_srs​, opening the possibility of linear scaling QMC calculations for realistic metallic systems.
We derive an automatic procedure for generating a set of highly localized, nonorthogonal orbitals for linear scaling quantum Monte Carlo (QMC) calculations. We demonstrate the advantage of these orbitals for calculating the total energy of both semiconducting and metallic systems by studying bulk silicon and the homogeneous electron gas. For silicon, the improved localization of these orbitals reduces the computational time by a factor of 5 and the memory by a factor of 6 compared to localized, orthogonal orbitals. For jellium at typical metallic densities, we demonstrate that the total energy is converged to 3 meV per electron for orbitals truncated within spheres with radii 7rs7{r}_{s}7rs​, opening the possibility of linear scaling QMC calculations for realistic metallic systems.
We have reformulated the quantum Monte Carlo (QMC) technique so that a large part of the calculation scales linearly with the number of atoms. The reformulation is related to a recent alternative proposal for achieving linear-scaling QMC, based on maximally localized Wannier orbitals (MLWO), but has the advantage of greater simplicity. The technique we propose draws on methods recently developed for linear-scaling density functional theory. We report tests of the new technique on the insulator MgO, and show that its linear-scaling performance is somewhat better than that achieved by the MLWO approach. Implications for the application of QMC to large complex systems are pointed out.