Variational Hilbert space truncation approach to quantum Heisenberg antiferromagnets on frustrated clusters

Physics – Condensed Matter

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

22 pages and 12 Postscript figures

Scientific paper

10.1103/PhysRevB.53.2546

We study the spin-$\frac{1}{2}$ Heisenberg antiferromagnet on a series of finite-size clusters with features inspired by the fullerenes. Frustration due to the presence of pentagonal rings makes such structures challenging in the context of quantum Monte-Carlo methods. We use an exact diagonalization approach combined with a truncation method in which only the most important basis states of the Hilbert space are retained. We describe an efficient variational method for finding an optimal truncation of a given size which minimizes the error in the ground state energy. Ground state energies and spin-spin correlations are obtained for clusters with up to thirty-two sites without the need to restrict the symmetry of the structures. The results are compared to full-space calculations and to unfrustrated structures based on the honeycomb lattice.

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

Variational Hilbert space truncation approach to quantum Heisenberg antiferromagnets on frustrated clusters 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 Variational Hilbert space truncation approach to quantum Heisenberg antiferromagnets on frustrated clusters, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Variational Hilbert space truncation approach to quantum Heisenberg antiferromagnets on frustrated clusters will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-394825

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