2013
DOI: 10.1103/physrevb.87.214415
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Disorder line and incommensurate floating phases in the quantum Ising model on an anisotropic triangular lattice

Abstract: We present a Quantum Monte Carlo study of the Ising model in a transverse field on a square lattice with nearest-neighbor antiferromagnetic exchange interaction J and one diagonal secondneighbor interaction J ′ , interpolating between square-lattice (J ′ = 0) and triangular-lattice (J ′ = J) limits. At a transverse-field of Bx = J, the disorder-line first introduced by Stephenson, where the correlations go from Neel to incommensurate, meets the zero temperature axis at J ′ ≈ 0.7J. Strong evidence is provided t… Show more

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Cited by 3 publications
(4 citation statements)
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“…Equivalency of Eqs. (35) and (36) requires that calculations of the entropy must be consistent with calculations of the correlation function.…”
Section: Thermodynamic Properties and The Variational Equationsmentioning
confidence: 99%
See 2 more Smart Citations
“…Equivalency of Eqs. (35) and (36) requires that calculations of the entropy must be consistent with calculations of the correlation function.…”
Section: Thermodynamic Properties and The Variational Equationsmentioning
confidence: 99%
“…Although frustrated spin systems have been studied in literature for over six decades, they still present a challenging problem for theorists . During recent years the interest in theoretical studies of such systems is still increasing [22][23][24][25][26][27][28][29][30][31][32][33][34][35][36][37][38][39][40][41]. This interest mainly concerns the low-dimensional frustrated magnets which exhibit an intriquing interplay between order and disorder and can reveal existence of new magnetic phases.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…In higher dimensions, analytical results are scarce, and one has to rely on numerical or approximate methods. Many methods have been developed, including transfer matrix method 9 , series expansion 8,10 , continuous-time Monte Carlo approach 5,[11][12][13][14][15] , tensor renormalization group method 16 , density matrix renormalization group 17 , projected entangledpair states 18 , and machine learning method 19,20 etc. Nevertheless, to obtain a high-precision critical point still remains to be a challenging task.…”
Section: Introductionmentioning
confidence: 99%