Reentrant localization phenomenon in one-dimensional cross-stitch lattice with flat band

Lu Zhan-Peng; Xu Zhi-Hao

doi:10.7498/aps.73.20231393

Abstract

In this work, we numerically study the localization properties in a quasi-periodically modulated one-dimensional cross-stitch lattice with a flat band. When $\varDelta\neq0$, it is found that there are two different quasi-periodic modulation frequencies in the system after the local transformation, and the competing modulation by two frequencies may lead to the reentrant localization transition in the system. By numerically solving the fractal dimension, the average inverse participation ratio, and the average normalized participation ratio, we confirm that the system can undergo twice localization transitions. It means that the system first becomes localized as the disorder increases, at some critical points, some of the localized states go back to the delocalized ones, and as the disorder further increases, the system again becomes fully localized. By the scalar analysis of the normalized participation ratio, we confirm that reentrant localization stably exists in the system. And the local phase diagram is also obtained. From the local phase diagram, we find that when $1.6<\varDelta<1.9$, the system undergoes a cascade of delocalization-localization-delocalization-localization transition by increasing λ. When $\varDelta=0$, there exists only one quasi-periodic modulation frequency in the system. And we analytically obtain the expressions of the mobility edges, which are in consistence with the numerical studies by calculating the fractal dimension. And the system exhibits one localization transition. This work could expand the understanding of the reentrant localization in a flat band system and offers a new perspective on the research of the reentrant localization transition.

Keywords:

Authors and contacts

Lu Zhan-Peng¹,
Xu Zhi-Hao^1,2

1.
State Key Laboratory of Quantum Optics and Quantum Optics Devices, Institute of Theoretical Physics, Shanxi University, Taiyuan 030006, China
2.
Collaborative Innovation Center of Extreme Optics, Shanxi University, Taiyuan 030006, China

Corresponding author: Xu Zhi-Hao, xuzhihao@sxu.edu.cn

Funds: Project supported by the National Natural Science Foundation of China (Grant No. 12375016), the Fundamental Research Program of Shanxi Province,China (Grant No. 20210302123442), the Open Research Fund of Beijing National Laboratory for Condensed Matter Physics, and the Fund for Shanxi “1331 Project” Key Subjects, China.

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References

[1]	Anderson P W 1958 Phys. Rev. 109 1492 Google Scholar
[2]	Billy J, Josse V, Zuo Z, Bernard A, Hambrecht B, Lugan P, Clément D, Sanchez-Palencia L, Bouyer P, Aspect A 2008 Nature 453 891 Google Scholar
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[21]	Goblot V, Štrkalj A, Pernet N, Lado J L, Dorow C, Lemaître A, Gratiet L Le, Harouri A, Sagnes I, Ravets S, Amo A, Bloch J, Zilberberg O 2020 Nat. Phys. 16 832 Google Scholar
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[35]	Han W Q, Zhou L W 2022 Phys. Rev. B 105 054204 Google Scholar
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[38]	Wang H, Gao J H, Zhang F C 2013 Phys. Rev. B 87 155116 Google Scholar
[39]	Ahmed A, Ramachandran A, Khaymovich I M, Sharma A 2022 Phys. Rev. B 106 205119 Google Scholar
[40]	Lee S, Andreanov A, Flach S 2023 Phys. Rev. B 107 014204 Google Scholar
[41]	Bodyfelt J D, Leykam D, Danieli C, Yu X, Flach S 2014 Phys. Rev. Lett. 113 236403 Google Scholar
[42]	Danieli C, Bodyfelt J D, Flach S 2015 Phys. Rev. B 91 235134 Google Scholar
[43]	Cheng S J, Liu T 2023 Chin. Phys. B 32 027102 Google Scholar
[44]	Gneiting C, Li Z, Nori F 2018 Phys. Rev. B 98 134203 Google Scholar
[45]	Han J, Gneiting C, Leykam D 2019 Phys. Rev. B 99 224201 Google Scholar
[46]	吴瑾, 陆展鹏, 徐志浩, 郭利平 2022 71 113702 Google Scholar Wu J, Lu Z P, Xu Z H, Guo L P 2022 Acta Phys. Sin. 71 113702 Google Scholar
[47]	Xu Z H, Huangfu H L, Zhang Y B, Chen S 2020 New J. Phys. 22 013036 Google Scholar
[48]	DeGottardi W, Thakurathi M, Vishveshwara S, Sen D 2013 Phys. Rev. B 88 165111 Google Scholar
[49]	Deng X, Ray S, Sinha S, Shlyapnikov G V, Santos L 2019 Phys. Rev. Lett. 123 025301 Google Scholar
[50]	Xu Z H, Xia X, Chen S 2021 Phys. Rev. B 104 224204 Google Scholar

Cited By

图 1 一维十字型晶格示意图. 绿色虚线代表一个原胞. t代表胞内跃迁强度, J代表胞间跃迁强度

Figure 1. Schematic diagram of the cross-stitch lattice. Each unit cell with two sublattices (A and B) is shown in the green dotted box. t and J are the intracell and intercell hopping amplitudes.

DownLoad: Full-Size Img PowerPoint

图 2 当$\varDelta=1.68$, $L=800$时, (a) ${\rm{MIPR}}$(蓝色虚线)和${\rm{MNPR}}$(红色实线)随着无序强度λ的变化, 灰色区域表示具有迁移率边的中间相区; 插图显示当$L=300$ (蓝色实线), 500 (深绿色实线), 800 (红色实线)和1500 (湖蓝色实线)时, ${\rm{MNPR}}$随无序强度λ的变化. (b)分形维度$\varGamma_{{i}}$随着本征态指标(eigenstates index)和无序强度λ的变化. 系统存在4个局域化转变点: $\lambda=0.27, $$ \; 2.01,\; 2.48$和2.83 (黑色虚线表示). 图中的颜色条代表分形维度$\varGamma_{{i}}$的大小

Figure 2. (a) ${\rm{MIPR}}$ (blue dashed line) and ${\rm{MNPR}}$ (red solid line) as a function of the disorder strength λ. The shaded regions represent the intermediate regimes with the mobility edges. The inset shows the ${\rm{MNPR}}$ as a function of the disorder strength λ for L = 300, 500, 800, and 1500, which are marked by blue, bottle green, red and lake blue lines, respectively. (b) The fractal dimension ${\varGamma}_i$ associated with the eigenstate indices as a function of λ. The colorbar indicates the magnitude of ${\varGamma}_i$. There exist four localization transition points $\lambda=0.27,\; 2.01,\; 2.48, $ and 2.83, which marked by the black lines. Other parameters: $\varDelta=1.68$ and $L=800$.

DownLoad: Full-Size Img PowerPoint

图 3 (a)$\lambda=0.1$, (b)$\lambda=2.32$, (c)$\lambda=2.72$时, ${\rm{MNPR}}$随$1/L$变化. 这里, $\varDelta=1.68$

Figure 3. ${\rm{MNPR}}$ as a function of $1/L$ for (a)$\lambda=0.1$, (b) $\lambda=2.32$ and (c) $\lambda=2.72$, respectively. Here, $\varDelta=1.68$.

DownLoad: Full-Size Img PowerPoint

图 4 $\varDelta{\text{-}}\lambda$参数平面内的局域化相图, 其中绿色区域表示完全扩展或局域相, 红蓝色区域表示具有迁移率边的中间相. 颜色条代表序参量η的大小. 这里$L=800$

Figure 4. Localization Phase diagram in the $\varDelta{\text{-}}\lambda$ plane, where the green regions denote the full extended or localized phase and the red and blue regions represent the intermediate phase the mobility edges. The colorbar represents values of η. Here, $L=800$.

DownLoad: Full-Size Img PowerPoint

图 5 分形维度$\varGamma_{{i}}$随着调制强度λ和本征能量E的变化. 其中红色实线代表迁移率边的表达式(15). 图中的颜色条代表分形维度$\varGamma_{{i}}$的大小. 其他参数为: $L=800$, $t=1$

Figure 5. The $\varGamma_{{i}}$ of the eigenstates as a function of he disorder strength λ and the eigen energy E. The red solid line represents the analytical expression (15) of the mobility edge. The colorbar represents the values of $\varGamma_{{i}}$. Here, $L=800$ and $t=1$.

DownLoad: Full-Size Img PowerPoint

map

[1]	Anderson P W 1958 Phys. Rev. 109 1492 Google Scholar
[2]	Billy J, Josse V, Zuo Z, Bernard A, Hambrecht B, Lugan P, Clément D, Sanchez-Palencia L, Bouyer P, Aspect A 2008 Nature 453 891 Google Scholar
[3]	Roati G, D'Errico C, Fallani L, Fattori M, Fort C, Zaccanti M, Modugno G, Modugno M, Inguscio M 2008 Nature 453 895 Google Scholar
[4]	Chabanov A A, Stoytchev M, Genack A Z 2000 Nature 404 850 Google Scholar
[5]	Pradhan P, Sridhar S 2000 Phys. Rev. Lett. 85 2360 Google Scholar
[6]	Lahini Y, Pugatch R, Pozzi F, Sorel M, Morandotti R, Davidson N, Silberberg Y 2009 Phys. Rev. Lett. 103 013901 Google Scholar
[7]	Mott N 1987 J. Phys. C 20 3075 Google Scholar
[8]	Aubry S, André G 1980 Ann. Isr. Phys. Soc. 3 18
[9]	Harper P G 1955 Proc. Phys. Soc. London Sect. A 68 874 Google Scholar
[10]	Longhi S 2019 Phys. Rev. Lett. 122 237601 Google Scholar
[11]	Longhi S 2019 Phys. Rev. B 100 125157 Google Scholar
[12]	Kraus Y E, Lahini Y, Ringel Z, Verbin M, Zilberberg O 2012 Phys. Rev. Lett. 109 106402 Google Scholar
[13]	Segev M, Silberberg Y, Christodoulides D N 2013 Nat. Photonics 7 197 Google Scholar
[14]	Biddle J, Sarma S D 2010 Phys. Rev. Lett. 104 070601 Google Scholar
[15]	Ganeshan S, Pixley J H, Sarma S D 2015 Phys. Rev. Lett. 114 146601 Google Scholar
[16]	Wang Y C, Zhang L, Sun W, Poon T F J, Liu X J 2022 Phys. Rev. B 106 L140203 Google Scholar
[17]	Zhou X C, Zhou Y J, Poon T F J, Zhou Q, Liu X J 2023 Phys. Rev. Lett. 131 176401 Google Scholar
[18]	Roy N, Sharma A 2021 Phys. Rev. B 103 075124 Google Scholar
[19]	Ahmed A, Roy N, Sharma A 2021 Phys. Rev. B 104 155137 Google Scholar
[20]	Qi R, Cao J P, Jiang X P 2023 arXiv: 2306.03807 [cond-mat.dis-nn
[21]	Goblot V, Štrkalj A, Pernet N, Lado J L, Dorow C, Lemaître A, Gratiet L Le, Harouri A, Sagnes I, Ravets S, Amo A, Bloch J, Zilberberg O 2020 Nat. Phys. 16 832 Google Scholar
[22]	Zhai L J, Huang G Y, Yin S 2021 Phys. Rev. B 104 014202 Google Scholar
[23]	Roy S, Mishra T, Tanatar B, Basu S 2021 Phys. Rev. Lett. 126 106803 Google Scholar
[24]	Padhan A, Giri M K, Mondal S, Mishra T 2022 Phys. Rev. B 105 L220201 Google Scholar
[25]	Zuo Z W, Kang D W 2022 Phys. Rev. A 106 013305 Google Scholar
[26]	Aditya S, Sengupta K, Sen D 2023 Phys. Rev. B 107 035402 Google Scholar
[27]	Roy S, Chattopadhyay S, Mishra T, Basu S 2022 Phys. Rev. B 105 214203 Google Scholar
[28]	Qi R, Cao J P, Jiang X P 2023 Phys. Rev. B 107 224201 Google Scholar
[29]	Nair P S, Joy D, Sanyal S 2023 arXiv: 2302.14053 [cond-mat.dis-nn
[30]	Li S Z, Li Z 2023 arXiv: 2304.11811 [cond-mat.dis-nn
[31]	Li S Z, Li Z 2023 arXiv: 2305.12321 [cond-mat.dis-nn
[32]	Wu C H, Fan J T, Chen G, Jia S T 2021 New J. Phys. 23 123048 Google Scholar
[33]	Jiang X P, Qiao Y, Cao J P 2021 Chin. Phys. B 30 097202 Google Scholar
[34]	Zhou L W, Han W Q 2022 Phys. Rev. B 106 054307 Google Scholar
[35]	Han W Q, Zhou L W 2022 Phys. Rev. B 105 054204 Google Scholar
[36]	Wang H Y, Zheng X H, Chen J, Xiao L T, Jia S T, Zhang L 2023 Phys. Rev. B 107 075128 Google Scholar
[37]	Flach S, Leykam D, Bodyfelt J D, Matthies P, Desyatnikov A S 2014 Europhys. Lett. 105 30001 Google Scholar
[38]	Wang H, Gao J H, Zhang F C 2013 Phys. Rev. B 87 155116 Google Scholar
[39]	Ahmed A, Ramachandran A, Khaymovich I M, Sharma A 2022 Phys. Rev. B 106 205119 Google Scholar
[40]	Lee S, Andreanov A, Flach S 2023 Phys. Rev. B 107 014204 Google Scholar
[41]	Bodyfelt J D, Leykam D, Danieli C, Yu X, Flach S 2014 Phys. Rev. Lett. 113 236403 Google Scholar
[42]	Danieli C, Bodyfelt J D, Flach S 2015 Phys. Rev. B 91 235134 Google Scholar
[43]	Cheng S J, Liu T 2023 Chin. Phys. B 32 027102 Google Scholar
[44]	Gneiting C, Li Z, Nori F 2018 Phys. Rev. B 98 134203 Google Scholar
[45]	Han J, Gneiting C, Leykam D 2019 Phys. Rev. B 99 224201 Google Scholar
[46]	吴瑾, 陆展鹏, 徐志浩, 郭利平 2022 71 113702 Google Scholar Wu J, Lu Z P, Xu Z H, Guo L P 2022 Acta Phys. Sin. 71 113702 Google Scholar
[47]	Xu Z H, Huangfu H L, Zhang Y B, Chen S 2020 New J. Phys. 22 013036 Google Scholar
[48]	DeGottardi W, Thakurathi M, Vishveshwara S, Sen D 2013 Phys. Rev. B 88 165111 Google Scholar
[49]	Deng X, Ray S, Sinha S, Shlyapnikov G V, Santos L 2019 Phys. Rev. Lett. 123 025301 Google Scholar
[50]	Xu Z H, Xia X, Chen S 2021 Phys. Rev. B 104 224204 Google Scholar

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