d=2 transverse-field Ising model under the screw-boundary condition: An optimization of the screw pitch

Physics – Condensed Matter – Statistical Mechanics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

A length-N spin chain with the \sqrt{N}(=v)-th neighbor interaction is identical to a two-dimensional (d=2) model under the screw-boundary (SB) condition. The SB condition provides a flexible scheme to construct a d\ge2 cluster from an arbitrary number of spins; the numerical diagonalization combined with the SB condition admits a potential applicability to a class of systems intractable with the quantum Monte Carlo method due to the negative-sign problem. However, the simulation results suffer from characteristic finite-size corrections inherent in SB. In order to suppress these corrections, we adjust the screw pitch v(N) so as to minimize the excitation gap for each N. This idea is adapted to the transverse-field Ising model on the triangular lattice with N\le32 spins. As a demonstration, the correlation-length critical exponent $\nu$ is analyzed in some detail.

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

d=2 transverse-field Ising model under the screw-boundary condition: An optimization of the screw pitch 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 d=2 transverse-field Ising model under the screw-boundary condition: An optimization of the screw pitch, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and d=2 transverse-field Ising model under the screw-boundary condition: An optimization of the screw pitch will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-687740

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