Stochastic Evaluation Of Fourth-Order Many-Body Perturbation Energies

A scalable, stochastic algorithm evaluating the fourth-order many-body perturbation (MP4) correction to energy is proposed. Three hundred Goldstone diagrams representing the MP4 correction are computer generated and then converted into algebraic formulas expressed in terms of Green's functions in real space and imaginary time. They are evaluated by the direct (i.e., non-Markov, non-Metropolis) Monte Carlo (MC) integration accelerated by the redundant-walker and control-variate algorithms. The resulting MC-MP4 method is efficiently parallelized and is shown to display O(n(5.3)) size-dependence of cost, which is nearly two ranks lower than the O(n(7)) dependence of the deterministic MP4 algorithm. It evaluates the MP4/aug-cc-pVDZ energy for benzene, naphthalene, phenanthrene, and corannulene with the statistical uncertainty of 10 mE(h) (1.1% of the total basis-set correlation energy), 38 mE(h) (2.6%), 110 mE(h) (5.5%), and 280 mE(h) (9.0%), respectively, after about 10(9) MC steps.