2014
DOI: 10.1103/physrevb.90.195102
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Probing the stability of the spin-liquid phases in the Kitaev-Heisenberg model using tensor network algorithms

Abstract: Probing the stability of the spin liquid phases in the Kitaev-Heisenberg model using tensor network algorithms Iregui, J.O.; Corboz, P.R.; Troyer, M. General rightsIt is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s), other than for strictly personal, individual use, unless the work is under an open content license (like Creative Commons). Disclaimer/Complaints regulationsIf you believe that digital publication of certa… Show more

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Cited by 54 publications
(37 citation statements)
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“…1-(d)). Next, by associating an iPEPS tensor to each block site and introducing trivial indices [22] as in the yellow dotted lines in Fig. 1-(d), we end up with an iPEPS on the square lattice and a 2 × 2 unit cell specified by two tensors A and B according to a checkerboard pattern, see Fig.…”
Section: B Ruby Lattice and Trotterizationmentioning
confidence: 99%
See 1 more Smart Citation
“…1-(d)). Next, by associating an iPEPS tensor to each block site and introducing trivial indices [22] as in the yellow dotted lines in Fig. 1-(d), we end up with an iPEPS on the square lattice and a 2 × 2 unit cell specified by two tensors A and B according to a checkerboard pattern, see Fig.…”
Section: B Ruby Lattice and Trotterizationmentioning
confidence: 99%
“…However, the downside is that the CTM method is only applied straightforwardly to the 2D square lattice, whereas for other lattice structures this may not be obvious at all. In any case, the method has also been successfully applied to other cases such as the honeycomb [22] and kagome [14,23,24] lattices. In spite of the success of current TN algorithms for the study of quantum many-body systems, there are still many interesting models, which are left behind due to their complicated interactions and lattice structures, thus making the implementation challenging.…”
Section: Introductionmentioning
confidence: 99%
“…The only essential parameter which controls the accuracy of the ansatz is the so-called bond dimension D. In order to obtain highly accurate results, one should use a novel optimization scheme to access large bond dimension and to perform reliable bond-dimension scaling. iPEPS has been shown successful to study challenging problems of interacting fermions (including t-J and Hubbard models) [41][42][43] and frus-trated spin systems [44][45][46][47][48][49] . Besides model simulation, PEPS can also be constructed to strictly describe novel quantum states.…”
Section: Introductionmentioning
confidence: 99%
“…[18][19][20] In this respect, the Kitaev honeycomb model has been a prominent candidate. [21][22][23][24][25][26] The Hamiltonian of this model contains two-body interactions (hence relatively easier to realize experimentally), and has a rich phase diagram that exhibits different classes of topological phases and non-Abelian anyons. In addition, the Kitaev honeycomb model on an arbitrary-row brick-wall lattice (another representation of the honeycomb lattice) has also been recently studied.…”
Section: Introductionmentioning
confidence: 99%