2019
DOI: 10.1088/1742-5468/ab3785
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Improved matrix product operator renormalization group: application to the N-color random Ashkin–Teller chain

Abstract: Strong-Disorder Renormalization Group (SDRG), despite being a relatively simple real-space renormalization procedure, provides in principle exact results on the critical properties at the infinite-randomness fixed point of random quantum spin chains. Numerically, SDRG can be efficiently implemented as a renormalization of Matrix Product Operators (MPO-RG). By considering larger blocks than SDRG, MPO-RG was recently used to compute non-critical quantities of finite chains that are inaccessible to SDRG. In this … Show more

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Cited by 4 publications
(3 citation statements)
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“…In Ref. [41] selections of blocks for the renormalization were adjusted to the specific models under consideration; in Ref. [42] optimization using variational energy minimization after coarse-graining was introduced, as an extension of tSDRG and the multiscale entanglement renormalization ansatz (MERA) [43,44].…”
Section: Summary and Discussionmentioning
confidence: 99%
“…In Ref. [41] selections of blocks for the renormalization were adjusted to the specific models under consideration; in Ref. [42] optimization using variational energy minimization after coarse-graining was introduced, as an extension of tSDRG and the multiscale entanglement renormalization ansatz (MERA) [43,44].…”
Section: Summary and Discussionmentioning
confidence: 99%
“…Despite the fact that the inter-chain coupling flows towards an infinite value during renormalization, the critical behavior is still in the RTIM universality class along these two lines 15 . In the case N ≥ 3, the pure Ashkin-Teller chain undergoes a first-order phase transition, as the Potts model with q ≥ 4, which becomes continuous in presence of disorder 14,[17][18][19][20] . The critical behavior is in the RTIM universality class at weak inter-chain coupling but seems to be governed by a distinct IDFP at stronger inter-chain coupling 18 .…”
Section: Introductionmentioning
confidence: 99%
“…The traditional block-spin renormalization for critical points corresponds to scale-invariant Tree-Tensor-States, and has been improved via the multi-scale-entanglement-renormalization-ansatz (MERA) [21,22], where 'disentanglers' between blocks are introduced besides the block-coarse-graining isometries already present in Tree-Tensor-States. Finally in the field of disordered spin chains, the Strong Disorder Renormalization approach (see the reviews [23,24]) has been reformulated either as a Matrix-Product-Operator-Renormalization or as a self-assembling Tree-Tensor-Network, and various improvements have been proposed [25][26][27][28][29][30].…”
Section: Introductionmentioning
confidence: 99%