Simulating quantum systems on the Bethe lattice by translationally invariant infinite-Tree Tensor Network

Physics – Quantum Physics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

final version, to be published in Annals of Physics

Scientific paper

We construct an algorithm to simulate imaginary time evolution of translationally invariant spin systems with local interactions on an infinite, symmetric tree. We describe the state by symmetric iPEPS and use translation-invariant operators for the updates at each time step. The contraction of this tree tensor network can be computed efficiently by recursion without approximations and one can then truncate all the iPEPS tensors at the same time. The translational symmetry is preserved at each time step that makes the algorithm very well conditioned and stable. The computational cost scales like $O(D^{q+1})$ with the bond dimension $D$ and coordination number $q$, much favourable than that of the iTEBD on trees [D. Nagaj et al. Phys. Rev. B \textbf{77}, 214431 (2008)]. Studying the transverse-field Ising model on the Bethe lattice, we find a second order phase transition with finite correlation lengths.

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

Simulating quantum systems on the Bethe lattice by translationally invariant infinite-Tree Tensor Network 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 Simulating quantum systems on the Bethe lattice by translationally invariant infinite-Tree Tensor Network, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Simulating quantum systems on the Bethe lattice by translationally invariant infinite-Tree Tensor Network will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-659570

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