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題名 Tensor network renormalization group study of spin-1 random Heisenberg chains
作者 林瑜琤
Lin, Yu-Cheng
Tsai, Zheng-Lin
Chen, Pochung
貢獻者 應物所
日期 2020-02
上傳時間 27-May-2020 09:00:35 (UTC+8)
摘要 We use a tensor network strong-disorder renormalization group (tSDRG) method to study spin-1 random Heisenberg antiferromagnetic chains. The ground state of the clean spin-1 Heisenberg chain with uniform nearest-neighbor couplings is a gapped phase known as the Haldane phase. Here we consider disordered chains with random couplings, in which the Haldane gap closes in the strong disorder regime. As the randomness strength is increased further and exceeds a certain threshold, the random chain undergoes a phase transition to a critical random-singlet phase. The strong-disorder renormalization group method formulated in terms of a tree tensor network provides an efficient tool for exploring ground-state properties of disordered quantum many-body systems. Using this method we detect the quantum critical point between the gapless Haldane phase and the random-singlet phase via the disorder-averaged string order parameter. We determine the critical exponents related to the average string order parameter, the average end-to-end correlation function and the average bulk spin-spin correlation function, both at the critical point and in the random-singlet phase. Furthermore, we study energy-length scaling properties through the distribution of energy gaps for a finite chain. Our results are in closer agreement with the theoretical predictions than what was found in previous numerical studies. As a benchmark, a comparison between tSDRG results for the average spin correlations of the spin-1/2 random Heisenberg chain with those obtained by using unbiased zero-temperature QMC method is also provided.
關聯 Eur. Phys. J. B (Topical issue),
資料類型 article
dc.contributor 應物所
dc.creator (作者) 林瑜琤
dc.creator (作者) Lin, Yu-Cheng
dc.creator (作者) Tsai, Zheng-Lin
dc.creator (作者) Chen, Pochung
dc.date (日期) 2020-02
dc.date.accessioned 27-May-2020 09:00:35 (UTC+8)-
dc.date.available 27-May-2020 09:00:35 (UTC+8)-
dc.date.issued (上傳時間) 27-May-2020 09:00:35 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/129980-
dc.description.abstract (摘要) We use a tensor network strong-disorder renormalization group (tSDRG) method to study spin-1 random Heisenberg antiferromagnetic chains. The ground state of the clean spin-1 Heisenberg chain with uniform nearest-neighbor couplings is a gapped phase known as the Haldane phase. Here we consider disordered chains with random couplings, in which the Haldane gap closes in the strong disorder regime. As the randomness strength is increased further and exceeds a certain threshold, the random chain undergoes a phase transition to a critical random-singlet phase. The strong-disorder renormalization group method formulated in terms of a tree tensor network provides an efficient tool for exploring ground-state properties of disordered quantum many-body systems. Using this method we detect the quantum critical point between the gapless Haldane phase and the random-singlet phase via the disorder-averaged string order parameter. We determine the critical exponents related to the average string order parameter, the average end-to-end correlation function and the average bulk spin-spin correlation function, both at the critical point and in the random-singlet phase. Furthermore, we study energy-length scaling properties through the distribution of energy gaps for a finite chain. Our results are in closer agreement with the theoretical predictions than what was found in previous numerical studies. As a benchmark, a comparison between tSDRG results for the average spin correlations of the spin-1/2 random Heisenberg chain with those obtained by using unbiased zero-temperature QMC method is also provided.
dc.format.extent 998877 bytes-
dc.format.mimetype application/pdf-
dc.relation (關聯) Eur. Phys. J. B (Topical issue),
dc.title (題名) Tensor network renormalization group study of spin-1 random Heisenberg chains
dc.type (資料類型) article