Flat histogram diagrammatic Monte Carlo method
arXiv:1306.6320 · doi:10.1103/PhysRevE.88.043302
Abstract
The diagrammatic Monte Carlo (Diag-MC) method is a numerical technique which samples the entire diagrammatic series of the Green's function in quantum many-body systems. In this work, we incorporate the flat histogram principle in the diagrammatic Monte method and we term the improved version "Flat Histogram Diagrammatic Monte Carlo" method. We demonstrate the superiority of the method over the standard Diag-MC in extracting the long-imaginary-time behavior of the Green's function, without incorporating any a priori knowledge about this function, by applying the technique to the polaron problem
7 two-column pages 4 eps figures
References in corpus (6)
- Fermi-Polaron: Diagrammatic Monte Carlo for Divergent Sign-Alternating Series
- Critical Temperature and Thermodynamics of Attractive Fermions at Unitarity
- Feynman diagrams versus Fermi-gas Feynman emulator
- Bold Diagrammatic Monte Carlo: When Sign Problem is Welcome
- Bold Diagrammatic Monte Carlo Method Applied to Fermionized Frustrated Spins
- Bold Diagrammatic Monte Carlo technique for frustrated spin systems