2023
DOI: 10.1007/jhep01(2023)024
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Improved coarse-graining methods for two dimensional tensor networks including fermions

Abstract: We show how to apply renormalization group algorithms incorporating entanglement filtering methods and a loop optimization to a tensor network which includes Grassmann variables which represent fermions in an underlying lattice field theory. As a numerical test a variety of quantities are calculated for two dimensional Wilson-Majorana fermions and for the two flavor Gross-Neveu model. The improved algorithms show much better accuracy for quantities such as the free energy and the determination of Fisher’s zero… Show more

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Cited by 4 publications
(9 citation statements)
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“…The TNR approaches mentioned at the beginning of this section attempt to remove the CDLs from the network. Some of the authors of this review article has checked the efficiency of the loop-TNR and the gilt-TNR for the Majorana-Wilson fermion system seen in section 3.1 and for the two-flavor Gross-Neveu model [120]. While the loop-TNR comes first in the chronological order, we show here how the gilt-TNR removes the CDL from a network for graphical simplicity.…”
Section: Removal Of CDL From Networkmentioning
confidence: 88%
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“…The TNR approaches mentioned at the beginning of this section attempt to remove the CDLs from the network. Some of the authors of this review article has checked the efficiency of the loop-TNR and the gilt-TNR for the Majorana-Wilson fermion system seen in section 3.1 and for the two-flavor Gross-Neveu model [120]. While the loop-TNR comes first in the chronological order, we show here how the gilt-TNR removes the CDL from a network for graphical simplicity.…”
Section: Removal Of CDL From Networkmentioning
confidence: 88%
“…and ´'s are over the auxiliary Grassmann variables, which is implicit in equation ( 8). This kind of Grassmann tensor network formulation has been widely applied: the Schwinger model [117][118][119] 5 , the Gross-Neveu model [102,120], free Wilson fermions [121,122], the N = 1 Wess-Zumino model [106], the NJL model [105], Wilson-Majorana fermions [120], infinitecoupling QCD [104], and SU(2) lattice gauge theory with reduced staggered fermions [107].…”
Section: Grassmann Tensor Network Representationmentioning
confidence: 99%
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