Tensor-network strong-disorder renormalization groups for random quantum spin systems in two dimensions

Novel randomness-induced disordered ground states in two-dimensional (2D) quantum spin systems have been attracting much interest. For quantitative analysis of such random quantum spin systems, one of the most promising numerical approaches is the tensor-network strong-disorder renormalization group...

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Veröffentlicht in:	Physical review. B 2020-10, Vol.102 (14), Article 144439
Hauptverfasser:	Seki, Kouichi, Hikihara, Toshiya, Okunishi, Kouichi
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Antiferromagnetism Heisenberg theory Mathematical analysis Randomness Statistical models Tensors
Online-Zugang:	Volltext
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