Truncated-Determinant Diagrammatic Monte Carlo for Fermions with Contact Interaction

Physics – Condensed Matter – Strongly Correlated Electrons

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

results of the actual Hubbard model simulations are added

Scientific paper

10.1103/PhysRevB.70.193101

For some models of interacting fermions the known solution to the notorious sign-problem in Monte Carlo (MC) simulations is to work with macroscopic fermionic determinants; the price, however, is a macroscopic scaling of the numerical effort spent on elementary local updates. We find that the {\it ratio} of two macroscopic determinants can be found with any desired accuracy by considering truncated (local in space and time) matices. In this respect, MC for interacting fermionic systems becomes similar to that for the sign-problem-free bosonic systems with system-size independent update cost. We demonstrate the utility of the truncated-determinant method by simulating the attractive Hubbard model within the MC scheme based on partially summed Feynman diagrams. We conjecture that similar approach may be useful in other implementations of the sign-free determinant schemes.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Truncated-Determinant Diagrammatic Monte Carlo for Fermions with Contact Interaction does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Truncated-Determinant Diagrammatic Monte Carlo for Fermions with Contact Interaction, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Truncated-Determinant Diagrammatic Monte Carlo for Fermions with Contact Interaction will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-630337

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.