Applications of Cluster Perturbation Theory Using Quantum Monte Carlo Data

Details Applications of Cluster Perturbation Theory Using Quantum Monte Carlo Data Applications of Cluster Perturbation Theory Using Quantum Monte Carlo Data

2005-12-16

arxiv.org/abs/cond-mat/0512406v2

Physics

Condensed Matter

Strongly Correlated Electrons

6 pages, accepted to HPCS06 conference proceedings

Scientific paper

We study cluster perturbation theory [Phys. Rev. Lett. \textbf{84}, 522 (2000)] when auxiliary field quantum Monte Carlo method is used for solving the cluster hamiltonian. As a case study, we calculate the spectral functions of the Hubbard model in one and two dimensions and compare our results for the spectral functions to results obtained using exact diagonalization to solve the cluster hamiltonian. The main advantage of using quantum Monte Carlo results as a starting point is that the initial cluster size can be taken to be considerably larger and hence potentially capture more of the relevant physics. The drawback is that quantum Monte Carlo methods yield results at {\it imaginary} times with stochastic errors.

Affiliated with

Also associated with

No associations

Rating

Applications of Cluster Perturbation Theory Using Quantum Monte Carlo Data 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 Applications of Cluster Perturbation Theory Using Quantum Monte Carlo Data, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Applications of Cluster Perturbation Theory Using Quantum Monte Carlo Data will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-112089