Literature DB >> 27475353

A deterministic alternative to the full configuration interaction quantum Monte Carlo method.

Norm M Tubman1, Joonho Lee1, Tyler Y Takeshita1, Martin Head-Gordon1, K Birgitta Whaley1.   

Abstract

Development of exponentially scaling methods has seen great progress in tackling larger systems than previously thought possible. One such technique, full configuration interaction quantum Monte Carlo, is a useful algorithm that allows exact diagonalization through stochastically sampling determinants. The method derives its utility from the information in the matrix elements of the Hamiltonian, along with a stochastic projected wave function, to find the important parts of Hilbert space. However, the stochastic representation of the wave function is not required to search Hilbert space efficiently, and here we describe a highly efficient deterministic method that can achieve chemical accuracy for a wide range of systems, including the difficult Cr2 molecule. We demonstrate for systems like Cr2 that such calculations can be performed in just a few cpu hours which makes it one of the most efficient and accurate methods that can attain chemical accuracy for strongly correlated systems. In addition our method also allows efficient calculation of excited state energies, which we illustrate with benchmark results for the excited states of C2.

Entities:  

Year:  2016        PMID: 27475353     DOI: 10.1063/1.4955109

Source DB:  PubMed          Journal:  J Chem Phys        ISSN: 0021-9606            Impact factor:   3.488


  6 in total

1.  Vibrational heat-bath configuration interaction.

Authors:  Jonathan H Fetherolf; Timothy C Berkelbach
Journal:  J Chem Phys       Date:  2021-02-21       Impact factor: 3.488

2.  Stochastic Generalized Active Space Self-Consistent Field: Theory and Application.

Authors:  Oskar Weser; Kai Guther; Khaldoon Ghanem; Giovanni Li Manni
Journal:  J Chem Theory Comput       Date:  2021-12-13       Impact factor: 6.006

3.  Spin Purification in Full-CI Quantum Monte Carlo via a First-Order Penalty Approach.

Authors:  Oskar Weser; Niklas Liebermann; Daniel Kats; Ali Alavi; Giovanni Li Manni
Journal:  J Phys Chem A       Date:  2022-03-17       Impact factor: 2.781

4.  Active Learning Configuration Interaction for Excited-State Calculations of Polycyclic Aromatic Hydrocarbons.

Authors:  WooSeok Jeong; Carlo Alberto Gaggioli; Laura Gagliardi
Journal:  J Chem Theory Comput       Date:  2021-11-17       Impact factor: 6.006

5.  Gas-Phase Peroxyl Radical Recombination Reactions: A Computational Study of Formation and Decomposition of Tetroxides.

Authors:  Vili-Taneli Salo; Rashid Valiev; Susi Lehtola; Theo Kurtén
Journal:  J Phys Chem A       Date:  2022-06-16       Impact factor: 2.944

6.  Reliably assessing the electronic structure of cytochrome P450 on today's classical computers and tomorrow's quantum computers.

Authors:  Joshua J Goings; Alec White; Joonho Lee; Christofer S Tautermann; Matthias Degroote; Craig Gidney; Toru Shiozaki; Ryan Babbush; Nicholas C Rubin
Journal:  Proc Natl Acad Sci U S A       Date:  2022-09-12       Impact factor: 12.779

  6 in total

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