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QMCPACK: Advances in the development, efficiency, and application of auxiliary field and real-space variational and diffusion quantum Monte Carlo

P. R. C. Kent, Abdulgani Annaberdiyev, Anouar Benali, M. Chandler Bennett, Edgar Josué Landinez Borda, Peter Doak, Hongxia Hao, Kenneth D. Jordan, Jaron T. Krogel, Ilkka Kylänpää, Joonho Lee, Ye Luo, Fionn D. Malone, Cody A. Melton, Lubos Mitas, Miguel A. Morales, Eric Neuscamman, Fernando A. Reboredo, Brenda Rubenstein, Kayahan Saritas, Shiv Upadhyay, Guangming Wang, Shuai Zhang, Luning Zhao

2020The Journal of Chemical Physics138 citationsDOIOpen Access PDF

Abstract

We review recent advances in the capabilities of the open source ab initio Quantum Monte Carlo (QMC) package QMCPACK and the workflow tool Nexus used for greater efficiency and reproducibility. The auxiliary field QMC (AFQMC) implementation has been greatly expanded to include k-point symmetries, tensor-hypercontraction, and accelerated graphical processing unit (GPU) support. These scaling and memory reductions greatly increase the number of orbitals that can practically be included in AFQMC calculations, increasing the accuracy. Advances in real space methods include techniques for accurate computation of bandgaps and for systematically improving the nodal surface of ground state wavefunctions. Results of these calculations can be used to validate application of more approximate electronic structure methods, including GW and density functional based techniques. To provide an improved foundation for these calculations, we utilize a new set of correlation-consistent effective core potentials (pseudopotentials) that are more accurate than previous sets; these can also be applied in quantum-chemical and other many-body applications, not only QMC. These advances increase the efficiency, accuracy, and range of properties that can be studied in both molecules and materials with QMC and QMCPACK.

Topics & Concepts

Quantum Monte CarloStatistical physicsComputer scienceAb initioMonte Carlo methodAuxiliary fieldDiffusion Monte CarloField (mathematics)ScalingSet (abstract data type)Computational scienceComputationPhysicsWorkflowElectronic structureRange (aeronautics)QuantumPoint (geometry)Benchmark (surveying)Space (punctuation)Computational physicsState spaceCore (optical fiber)SIESTA (computer program)Ground stateDensity functional theoryAtomic orbitalQuantum computerMulti-core processorDiffusionAlgorithmAb initio quantum chemistry methodsAdvanced Chemical Physics StudiesQuantum, superfluid, helium dynamicsAdvanced NMR Techniques and Applications