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Emergent Recurrent Extension Phase Transition in a Quasiperiodic Chain

Shan-Zhong Li Key Laboratory of Atomic and Subatomic Structure and Quantum Control (Ministry of Education), Guangdong Basic Research Center of Excellence for Structure and Fundamental Interactions of Matter, School of Physics, South China Normal University, Guangzhou 510006, China Guangdong Provincial Key Laboratory of Quantum Engineering and Quantum Materials, Guangdong-Hong Kong Joint Laboratory of Quantum Matter, Frontier Research Institute for Physics, South China Normal University, Guangzhou 510006, China    Zhi Li lizphys@m.scnu.edu.cn Key Laboratory of Atomic and Subatomic Structure and Quantum Control (Ministry of Education), Guangdong Basic Research Center of Excellence for Structure and Fundamental Interactions of Matter, School of Physics, South China Normal University, Guangzhou 510006, China Guangdong Provincial Key Laboratory of Quantum Engineering and Quantum Materials, Guangdong-Hong Kong Joint Laboratory of Quantum Matter, Frontier Research Institute for Physics, South China Normal University, Guangzhou 510006, China
Abstract

We study pp-wave superconducting quasiperiodic chains with staggered potential. The result shows a counter-intuitive phase transition phenomenon, i.e., recurrent extension phase transition (REPT). By analyzing the participation ration and scaling behavior, we prove the existence of REPT phenomenon, which, in concrete terms, means that the system will repeatedly return from the intermediate phase to the extended phase as the quasiperiodic or staggered strength grows. Furthermore, our finding is also quite different from the traditional understanding of intermediate phase (composed only of the pure extended phase and pure localized phase) in that, the new intermediate phase described here, stemming from the competition between staggered potential and pp-wave pairing, actually falls into three types by bringing in the critical phase. To be specific, the new intermediate phases are composed of the critical + extended states, the critical + localized states, and the critical + extended + localized states, respectively.

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I Introduction

In the late 1950s, G. Feher and E. A. Gere of Bell Laboratories first discovered the relaxation of electron spin GFeher1959a ; GFeher1959b . To explain this phenomenon, P. W. Anderson proposed the famous Anderson Localization theory that when metal doping exceeds the threshold value, conductivity of the system will change dramatically from the metallic phase to the insulating phase PWAnderson1958 . Later in the 1960s, N. F. Mott pointed out that the localized state and the extended state can coexist in some cases, giving rise to mobility edge in the system NFMott1967 . According to the scaling theory of disordered systems, when the system dimension D<3D<3, any strength of disorder will nudge the system into the localized phase, leaving the system’s metallic-insulating phase transition to be destroyed EAbrahams1979 ; PALee1985 ; FEvers2008 ; BHetenyi2021 . However, when D=3D=3, such phase transition is allowed by increasing the disorder strength and adjusting the Fermi energy before the critical disorder strength due to the presence of the mobility edge. Disorder-induced Anderson localization in low-dimensional systems is trivial, but its application to the study of topological phase transitions JLi2009 ; CWGroth2009 ; HMGuo2010 ; EJMeier2018 ; DWZhang2020b ; GGLiu2020 ; SStutzer2018 ; WZhang2021 ; ANava2023 , many-body localization APal2010 ; DAHuse2013 ; DJLuitz2015 ; RNandkishore2015 ; EAltman2015 ; FAlet2018 ; DAbanin2019 , and etc. reveals many novel phenomena.

Compared with random disordered systems, quasiperiodic systems that entail less numerical computation and relatively convenient analytical deduction have been widely used to study Anderson localization and mobility edges. Meanwhile, quasiperiodic systems have been implemented on many experimental platforms, including photonic crystal YLahini2009 ; YEKraus2012 ; MVerbin2013 ; MVerbin2015 ; PWang2020 , optical waveguide arrays SAGredeskul1989 ; DNChristodoulides2003 ; TPertsch2004 , cold atom experiments GRoati2008 ; GModugno2010 ; MLohse2016 ; SNakajima2016 ; HPLuschen2018 ; FAAnK2021 , and other related fields DTanese2014 ; PRoushan2017 ; FAAn2018 . As a typical low-dimensional quasiperiodic model, the Aubry-André-Harper (AAH) chain has been extensively studied over the past few decades PGHarper1955 ; SAubry1980 . This can be attributed to the self-duality property of the AAH model, which means the distribution of its eigenfunctions in both real space and momentum space is exactly the same for the critical point. Based on this, one can easily obtain the critical point of phase transition through analytical deduction SAubry1980 , so as to well grasp the characteristics of the extended and localized phase transition.

Previous theoretical studies have suggested that the mobility edge of AAH model can be achieved by introducing a long-range hopping JBiddle2010 ; XDeng2019 ; NRoy2021 , a dimer hopping SRoy2021 ; LZhou2022 , a spin-orbit coupling MKohmoto2008 ; LZhou2013 , or a controlled quasiperiodic potential SGaneshan2015 ; YWang2020a ; XLi2017 ; HYao2019 ; APadhan2022 . Then in recent experiments, the above mobility edge phenomenon has been realized in different platforms one after another HPLuschen2018 ; QLin2022 ; JGao2023 . Besides, duality transformation JBiddle2010 ; SGaneshan2015 ; MGoncalves2023 ; MGoncalves2022a ; MGoncalves2022b and the famous Avila global theory AAvila2015 ; XCZhou2022 ; YWang2020a ; YWang2021a ; YLiu2021a ; YLiu2021b ; YLiu2021c ; YCZhang2022a ; YCZhang2022b ; ZHWang2022 ; ZHXu2022 ; YWang2022c ; SLJiang2023 ; XWei2023 provide us with an analytical alternative to deal with mobility edges. In addition to the mobility edge caused by the coexistence of the traditional extended and localized state, quasiperiodic systems are capable of inducing novel mobility edges. As mentioned above, this is because the phase transition critical point in AAH model features self-duality, which causes the corresponding eigenstate to be a multifractal critical state, neither extended nor localized. Here, the system shows a multifractal critical phase, obviously different from the energy level statistics TGeisel1991 ; SYJitomirskaya1999 , wave function distribution TCHalsey1986 ; ADMirlin2006 , and dynamic behavior of the pure extended and localized phases HHiramoto1988 ; RKetzmerick1997 . Though the multifractal critical behaviors of the system at the critical point seem very attractive, its application in experiments is limited due to the highly demanding techniques in preparation. Recent years have witnessed lively discussions on how to stretch the critical point out to a critical region, with an aim to improve the robustness of the system in the multifractal critical phase. By introducing pp-wave superconducting pairing JWang2016 ; MYahyavi2019 ; TLiu2021a ; JFraxanet2022 , spin-orbit coupling YWang2022a ; YWang2022b , off-diagonal quasiperiodic hopping FLiu2015 ; JCCCCestari2016 ; LWang2017 ; TLiu2021b ; LZTang2021 ; TXiao2021 ; YCZhang2022a ; XCZhou2022 ; LZTang2022 and other means YCZhang2022b ; XLin2022 ; SZLi2022 , the multifractal critical region has been successfully wrought. The emergence of critical states has enriched the concept of mobility edges, and novel energy-dependent mobility edges for the coexistence of critical, extended and localized states have been predicted in many studies in recent years YWang2022a . In addition to localization phase transitions, the AAH model is also valuable for the study of topological phases in quasicrystals, for it can be mapped to the two-dimensional integer quantum Hall effect by means of a continuous U(1) metric transformation FMei2012 ; YEKraus2012a ; YEKraus2012b ; LJLang2012 ; XCai2013 ; SGaneshan2013 ; FLiu2015 ; MNChen2016 ; JCCCCestari2016 ; LWang2017 ; QBZeng2020 ; LZTang2021 ; TXiao2021 ; LZTang2022 ; PHe2022 ; DWZhang2020a ; HJiang2019 .

So far, fruitful results have been achieved in the study of quasiperiodic systems, and the most remarkable among them is multiple re-localization, i.e., by manipulating quasiperiodic parameters, repeated re-localization can emerge in the system VGoblot2020 ; SRoy2021 ; APadhan2022 ; WHan2022 ; LZhou2022 ; YWang2022b ; RQi2023 ; EGuan2023 ; ZLu2023 ; HWang2023 ; SGanguly2023 ; XPJiang2023 . However, no paper has yet proved or disproved whether an ever-growing quasiperiodic strength will bring the system back from the localized or intermediate phases (coexistence of different states) to the extended phase. So what is the real-world situation? To find out the answer, we study the phase transition of the pp-wave superconducting paired AAH model with staggered on-site potential. The results demonstrate the novel intermediate-extended phase transition, which proves the system will indeed revert from the intermediate phase to the extended phase as the quasiperiodic strength grows. Furthermore, the introduction of staggered potentials also enables the emergence of new-types mobility edges.

The paper is organized as follows. We introduced the model in Sec. II. We discuss observable quantities and the recurrent extension phenomenon in Sec. III. Then, we investigate the emergent intermediate phases through various observable quantities and the corresponding scaling analysis in Sec. IV. Main findings of this paper are concluded in Sec. V.

II Model

We start from the pp-wave superconducting paired AAH model with the staggered on-site potential and the corresponding Hamiltonian reads

H=\displaystyle H= j=1N1(Jcjcj+1+Δcjcj+1+H.c.)+j=1N(Vj+Wj)cjcj,\displaystyle\sum_{j=1}^{N-1}(Jc_{j}^{\dagger}c_{j+1}+\Delta c_{j}^{\dagger}c_{j+1}^{\dagger}+\mathrm{H.c.})+\sum_{j=1}^{N}(V_{j}+W_{j})c_{j}^{\dagger}c_{j}, (1)

where cjc_{j} (cjc^{\dagger}_{j}) is the annihilation (generation) operator at site jj, NN is the total number of lattices, JJ corresponds to the strength of the nearest neighboring hopping, and Δ\Delta denotes the intensity of pp-wave pairing. The on-site potential is composed of two parts. One is the quasiperiodic part Vj=λcos(2παj+θ)V_{j}=\lambda\cos(2\pi\alpha j+\theta), where λ\lambda stands for the quasiperiodic strength, α\alpha and θ\theta indicate the irrational number and phase shift DWZhang2018 , respectively. The other one is the staggered potential Wj=η(1)jW_{j}=\eta(-1)^{j}, where η\eta refers to the intensity of the staggered potential.

Refer to caption
Figure 1: (color online). The phase diagram of the standard pp-wave paired AAH model (η=0\eta=0 in Eq. 1). The green, grey, and wheat regions represent the extended, critical, and localized phases, respectively. Since we mainly discuss the effect of staggered potential, hereafter we focus on the ηλ\eta-\lambda phase diagram with fixed Δ=0.6\Delta=0.6 (the purple dashed line), 11 (the blue dashed line) and 1.21.2 (the orange dashed line), respectively.

Under the condition of Δ,η=0\Delta,~{}\eta=0 and λ>0\lambda>0, Eq. (1) can be reduced to the standard AAH model PGHarper1955 ; SAubry1980 , whose critical point of phase transition is λc=2J\lambda_{c}=2J. When η=0\eta=0 and Δ,λ>0\Delta,~{}\lambda>0, the system becomes the pp-wave superconducting paired AAH model and the phase diagram is exhibited in Fig. 1, where the line of λ=2|J+Δ|\lambda=2|J+\Delta| separates the localized from the critical phase, while the line of λ=2|JΔ|\lambda=2|J-\Delta| draws a distinction between the critical and the extended phases JWang2016 . When η,λ>0\eta,~{}\lambda>0 and Δ=0\Delta=0, however, the system will exhibit re-entrant localized phase transition APadhan2022 .

In the particle-hole picture, one can diagonalize the Hamiltonian Eq. (1) by Bogoliubov-de Gennes (BDG) transformation AKitaev2001 , and then we obtian

H=n=1Nϵn(γnγn12),H=\sum_{n=1}^{N}\epsilon_{n}(\gamma_{n}^{\dagger}\gamma_{n}-\frac{1}{2}), (2)

where γn=n=1N(un,jcj+vn,jcj)\gamma_{n}=\sum_{n=1}^{N}(u_{n,j}^{\ast}c_{j}+v_{n,j}c_{j}^{\dagger}) with the energy level index n=1,2,,Nn=1,~{}2,~{}\dots,~{}N. un,ju_{n,j} and vn,jv_{n,j} denote the two components of the wave function at site jj. The eigenspectra ϵn\epsilon_{n} and the corresponding eigenstates |ψn=(un,1,vn,1,un,2,vn,2,,un,N,vn,N)T\left|\psi_{n}\right>=(u_{n,1},~{}v_{n,1},~{}u_{n,2},~{}v_{n,2},~{}\dots,~{}u_{n,N},~{}v_{n,N})^{T} are determined by Schrödinger equation H|ψn=ϵn|ψnH\left|\psi_{n}\right>=\epsilon_{n}\left|\psi_{n}\right>, where Hamiltonian HnH_{n} is a matrix of 2N2N2N*2N. The expression takes the form

H=(A1B000CBA2B0000BA3B0000BAN2B000BAN1BC0BAN),H=\begin{pmatrix}A_{1}&B&0&0&0&\dots&C\\ B^{\dagger}&A_{2}&B&0&0&\dots&0\\ 0&B^{\dagger}&A_{3}&B&0&\dots&0\\ \vdots&\ddots&\ddots&\ddots&\ddots&\ddots&\vdots\\ 0&\dots&0&B^{\dagger}&A_{N-2}&B&0\\ 0&\dots&\dots&0&B^{\dagger}&A_{N-1}&B\\ C^{\dagger}&\dots&\dots&\dots&0&B^{\dagger}&A_{N}\end{pmatrix}, (3)

where

Aj=(Vj+η(1)j00Vjη(1)j),A_{j}=\begin{pmatrix}V_{j}+\eta(-1)^{j}&0\\ 0&-V_{j}-\eta(-1)^{j}\end{pmatrix}, (4)
B=(tΔΔt).B=\begin{pmatrix}-t&-\Delta\\ \Delta&t\end{pmatrix}. (5)

For periodic boundary conditions (PBCs),

C=(tΔΔt),C=\begin{pmatrix}-t&\Delta\\ -\Delta&t\end{pmatrix}, (6)

while for open boundary conditions (OBCs),

C=0.C=0. (7)

The dimension of the corresponding BDG Hamiltonian is 2N2N. During numerical calculation, we set the system size N=FmN=F_{m}, where FmF_{m} stands for the mm-th Fibonacci number, which satisfies Fm+1=Fm+Fm1F_{m+1}=F_{m}+F_{m-1}, and F0=F1=1F_{0}=F_{1}=1. Besides, the irrational number is set as α=Fm1/Fm\alpha=F_{m-1}/F_{m}. Without loss of generality, we take J=1J=1 as the unit of energy and select periodic boundary conditions in the process of calculation. Since the value of θ\theta has no qualitative impact on the system, we set θ=0\theta=0 in the following analysis.

III Recurrent Extension Phase Transition

III.1 Phase diagram for Δ=0.6\Delta=0.6

Inverse participation ratio (IPR) and normalized participation ratio (NPR) are the core observables to determine the localization properties of the system SRoy2021 ; XLi2020 ; APadhan2022 ; XLi2017 , whose definitions take the form

ξn=\displaystyle\xi_{n}= j(un,j4+vn,j4)j(un,j2+vn,j2),ζn=[Nj(un,j4+vn,j4)j(un,j2+vn,j2)]1,\displaystyle\frac{\sum_{j}(u_{n,j}^{4}+v_{n,j}^{4})}{\sum_{j}(u_{n,j}^{2}+v_{n,j}^{2})},~{}\zeta_{n}=\left[N\frac{\sum_{j}(u_{n,j}^{4}+v_{n,j}^{4})}{\sum_{j}(u_{n,j}^{2}+v_{n,j}^{2})}\right]^{-1}, (8)

where nn represents the eigenstate index, un,ju_{n,j} and vn,jv_{n,j} denote the expansion coefficients of the nn-th eigenstate at site jj on the BDG basis. By calculating the average IPR ξ¯=1Nnξn\overline{\xi}=\frac{1}{N}\sum_{n}\xi_{n} and the average NPR ζ¯=1Nnζn\overline{\zeta}=\frac{1}{N}\sum_{n}\zeta_{n}, one can determine the extended, localized and intermediate phases, respectively. In concrete terms, the extended (localized) phase corresponds to ξ¯0\overline{\xi}\sim 0 (>0>0) and ζ¯>0\overline{\zeta}>0 (0\sim 0). For the intermediate phases, however, both ξ¯\overline{\xi} and ζ¯\overline{\zeta} are of finite values due to the coexistence of different states in the system XLi2017 . Based on this, one can define

κ=log10(ξ¯×ζ¯)\kappa=\log_{10}(\overline{\xi}\times\overline{\zeta}) (9)

to distinguish the pure phase (pure extended or pure localized phase) from the intermediate phase  SRoy2021 ; XLi2020 ; APadhan2022 . In the following analysis, we set N=610N=610, where the dimension of the BDG Hamiltonian matrix corresponding to the system is greater than 10310^{3}. So the intermediate phase (pure phase) corresponds to κ0\kappa\rightarrow 0 (κ3\kappa\rightarrow-3).

Refer to caption
Figure 2: (color online). The (a) κ\kappa and (b) ξ¯\overline{\xi} phase diagram in λη\lambda-\eta plane with Δ=0.6\Delta=0.6. The red and white dashed lines correspond to slices with η=2.2\eta=2.2 and λ=0.7\lambda=0.7, respectively. The two black dashed lines mark the critical points of phase transition from the extended to critical and from critical to localized phases of standard pp-wave paired AAH model (η=0\eta=0), respectively. Throughout, we set the system size N=610N=610.

The λη\lambda-\eta phase diagram for Δ=0.6\Delta=0.6 is plotted in Fig. 2. As is shown, η=0\eta=0 corresponds to the case with no staggered potential, i.e., the system will gradually move from the extended, critical, and eventually into the localized phase, with the critical points of phase transition being 0.80.8 and 3.23.2 (black dashed lines), respectively, which corresponds to purple dashed line in Fig. 1.

The introduction of staggered potential will bring about richer phases. Firstly, different from the pure extended phase that emerges in the standard pp-wave superconducting AAH model, the introduction of staggered potential will give rise to mobility edges and the intermediate phase for λ<0.8\lambda<0.8. Specifically, within a certain parameter range (around λ0.7\lambda\sim 0.7), the emergent recurrent extension occurs, i.e., the system transforms from the extended phase to intermediate phase and then back to the extended phase with an increasing quasiperiodic strength λ\lambda (red dashed line in Fig. 2). This REPT phenomenon can be clearly seen from the κ\kappa and average IPR ξ¯\overline{\xi} phase diagrams on the λη\lambda-\eta plane, as shown in Fig. 2. In the figure, one can also find that with the increase of η\eta, there are still several other regions in the system where REPT occurs, however, the value of η\eta should not be taken too large. We show in the following part of the paper that when η\eta tends to infinity, REPT phenomenon will disappear and the system will display a clear transition boundary between extended and localized phase.

Secondly, in the region of 0.8<λ<3.20.8<\lambda<3.2 (between two black dashed lines, when η=0\eta=0 is of critical phase), when the staggered potential intensity η\eta is relatively large (η>3\eta>3), the system is easier to enter the localized phase with the increasing η\eta. However, when η\eta is relatively small, there exists a region with a large fluctuation of κ\kappa, which is marked by red triangular in Fig. 2(a). Due to the unusual features of fluctuation, one can naturally expect new intermediate phases and the corresponding mobility edges in this region. We will discuss such regions in the next section.

Thirdly, for λ>3.2\lambda>3.2, the quasiperiodic potential will prevail. Now that the staggered on-site potential does not have much leverage on it, the system always stays in the localized phase.

Besides, the fractal dimension serves as a valid indicator to identify the mobility edge and distinguish different phases. The corresponding fractal dimension of nn-th eigenstate reads

Γn=12(lnjun,j4ln2N+lnjvn,j4ln2N).\Gamma_{n}=-\frac{1}{2}(\frac{\ln\sum_{j}u_{n,j}^{4}}{\ln 2N}+\frac{\ln\sum_{j}v_{n,j}^{4}}{\ln 2N}). (10)

The extended, localized and critical phases correspond to Γn1\Gamma_{n}\rightarrow 1, Γn0\Gamma_{n}\rightarrow 0 and 0<Γn<10<\Gamma_{n}<1, respectively YWang2020a ; YWang2022a .

Moreover, the scaling index for multifractal analysis has a similar effect  HHiramoto1989 ; HGrussbach1995 ; SSchiffer2021 ; JWang2016 . The probability of the nth eigenstate on the site jj is represented by the wave function n,j=un,j2+vn,j2\mathbb{P}_{n,j}=u_{n,j}^{2}+v_{n,j}^{2}, which satisfies the normalization condition jn,j=1\sum_{j}\mathbb{P}_{n,j}=1. The scaling index of multifractal analysis βj\beta_{j} for the nnth eigenstate is defined by the probability measure n,j\mathbb{P}_{n,j} as

n,j=(2N)βjn.\mathbb{P}_{n,j}=(2N)^{-\beta^{n}_{j}}. (11)

Since the occupation probability on all sites is jn=1/2N\mathbb{P}^{n}_{j}=1/2N for a completely extended wave function, the corresponding scaling index βjn=1\beta^{n}_{j}=1. For a localized wave function, the occupation probability is non-zero at just a few sites, therefore βn0\beta^{n}\rightarrow 0 for such occupied sites and βn\beta^{n}\rightarrow\infty for the other sites. For a multifractal wave function, the scaling index βn\beta^{n} is distributed in a finite interval [βminn,βmaxn]\left[\beta^{n}_{min},\beta^{n}_{max}\right]. Thus, by considering the thermodynamic limit 2N2N\rightarrow\infty, one can characterize the localization properties of a wave function by βminn\beta^{n}_{min}. To be specific, for 2N2N\rightarrow\infty, βminn=1(0)\beta^{n}_{min}=1~{}(0) indicates the extended (localized) states, whereas 0<βminn<10<\beta^{n}_{min}<1 corresponds to the multifractal state.

In the next subsection, we will prove the REPT phenomenon through the results of κ\kappa, ξ\xi, ζ\zeta, Γ\Gamma, and βmin\beta_{min}. To better reveal the REPT, we consider two most representative cases in the above phase diagram: (1) Fix the staggered intensity at η=2.2\eta=2.2 (red dashed line) to study the effect of quasiperiodic potential on the system phase transition. (2) Fix the quasiperiodic potential at λ=0.7\lambda=0.7 (white dashed line) to observe how the staggered potential will affect the phase transition.

III.2 λ\lambda-induced REPT

Refer to caption
Figure 3: (color online). (a) Fractal dimension Γ\Gamma of all eigenstates as a function of λ\lambda with N=610N=610. (b) ξ¯\overline{\xi} (blue) and ζ¯\overline{\zeta} (red) as a function of λ\lambda with N=2584N=2584. The inset show ξ¯\overline{\xi} for N=610,987,1597,2584,4181N=610,~{}987,~{}1597,~{}2584,~{}4181, respectively. The behavior of Γ\Gamma for (c) λ=0.4\lambda=0.4, (d) λ=0.58\lambda=0.58,(e) λ=0.6\lambda=0.6, (f) λ=0.63\lambda=0.63, and (g) λ=0.72\lambda=0.72 with respect to the system size. The scaling properties of (d) Γ¯\overline{\Gamma} and (e) βmin\beta_{min} as a function of 1/m1/m for all eigenstates are provided, where the dashed line is the result of the linear fit and mm is the mmth Fibonacci number, i.e. N=FmN=F_{m}. the Throughout, we set Δ=0.6\Delta=0.6 and η=2.2\eta=2.2.

Now let’s focus on the first case η=2.2\eta=2.2. We first calculate fractal dimension Γ\Gamma corresponding to different energy levels of the system, which is a good indicator in distinguishing different phases. One can notice that the situation of Γ0\Gamma\rightarrow 0 appears sporadically in the system near λ=0.6\lambda=0.6 [shown by red circle in Fig. 3(a)], which means the system is not in the pure extended state and the intermediate phase is about to emerge [see Fig. 3(a)]. When λ\lambda further increases, however, the system will resume its extension property. This is consistent with the phase diagram we have scanned through κ\kappa, i.e., emergent REPT will occur in the system. To better identify the emergent REPT, we plot the average IPR ξ¯\overline{\xi} and average NPR ζ¯\overline{\zeta} in Fig. 3(b). The ξ¯\overline{\xi} rises and falls multiple times around λ=0.6\lambda=0.6, which consistently demonstrates that the extended phase (white region) and the intermediate phase (gray region) will alternate in the region of quasiperiodic strength around λ=0.6\lambda=0.6. We show in the inset the variation of the ξ¯\overline{\xi} with increasing system size near λ=0.6\lambda=0.6. It can be seen that the ξ¯\overline{\xi} of the extended phase is constantly decaying towards 0, while the intermediate phase will gradually converge to form two distinct peaks. This is a sufficient explanation for the occurrence of REPT near λ=0.6\lambda=0.6.

Besides, we show the scaling behavior of the fractal dimension Γ\Gamma of all eigenstates under different quasiperiodic intensities λ\lambda. As shown in the figure, as the size of the system increases, Γ\Gamma corresponding to eigenstates of the extended phase (λ=0.4,0.6,0.72\lambda=0.4,0.6,0.72), the intermediate phase (λ=0.58,0.63\lambda=0.58,0.63) and the localized phase (λ=4\lambda=4) tend to 1; partly to 1 and partly to 0; and to 0, respectively.

Behavior at finite sizes can initially determine the phase of the system. Further, we fit the case up to the thermodynamic limit by scaling analysis. We define the average fractal dimension Γ¯=1Nn=1NΓn\overline{\Gamma}=\frac{1}{N}\sum_{n=1}^{N}\Gamma_{n} and average sacling index βmin=1Nn=1Nβminn\beta_{min}=\frac{1}{N}\sum_{n=1}^{N}\beta_{min}^{n} for all eigenstates. Scaling properties of different λ\lambda are shown in Fig. 3(i)(j), where the result of the thermodynamic limit (1/m01/m\rightarrow 0) is obtained by the linear fit and extrapolation method. For the extended phase (dots), both Γ¯\overline{\Gamma} and βmin\beta_{min} can reach 1 in the thermodynamic limit, while for the intermediate phase (squares), the corresponding Γ¯\overline{\Gamma} and βmin\beta_{min} can never reach 1 in the thermodynamic limit due to the coexistence of the localized phase and the extended phase.

The above results show that as λ\lambda increases, the system will switch back to the extended state with the ever-increasing quasiperiodic strength, i.e., REPT occurs. This phenomenon of reentry into the extended state with the increase of quasiperiodic strength in weak quasiperiodic region is what we dub as the Type-I REPT phenomenon. From the phase diagram Fig. 2, one can see that the Type-I REPT phenomenon is relatively weak and the region where it first enters the intermediate phase is small.

Refer to caption
Figure 4: (color online). (a) Fractal dimension Γ\Gamma of all eigenstates as a function of λ\lambda with N=610N=610. (b) ξ¯\overline{\xi} (blue) and ζ¯\overline{\zeta} (red) as a function of λ\lambda with N=2584N=2584. (c) κ\kappa as a function of λ\lambda for different system size NN. The behavior of (d) Γ¯\overline{\Gamma} and (e) βmin\beta_{min} as a function of 1/m1/m for different λ\lambda with respect to the system size. where the dashed line is the result of the linear fit and mm is the mmth Fibonacci number. Throughout, we set Δ=0.6\Delta=0.6 and λ=0.7\lambda=0.7.

III.3 η\eta-induced REPT

Then we discuss the second case of REPT. By fixing the quasiperiodic strength λ=0.7\lambda=0.7, one can see clearly how the REPT can be manipulated by tuning the staggered potential. Fig. 4(a) shows Γ\Gamma of all eigenstates versus staggered potential. The result reveals that the system repeatedly exhibits the coexistence of localization and extension properties with the increasing staggered potential, which confirms the multiple REPT. Further, we compute the average IPR ξ¯\overline{\xi} and NPR ζ¯\overline{\zeta}, which both have similar periodic variations [see Fig. 4(b)]. In addition, we show the κ\kappa for different system sizes as a function of η\eta in Fig. 4(c). For the extended phase, κlog10(1/2N)\kappa\sim\log_{10}(1/2N) for large sizes, hence κ\kappa decreases with increasing system size. For the intermediate phase, κlog10[O(1)]\kappa\sim\log_{10}[O(1)], which remains constant as the system size increases. The occurrence of REPT is well illustrated in Fig. 4(b)(c). These indicator quantities consistently prove that the system can repeatedly switch between the extended phase and the intermediate phase. Finally, For the extended phase (dots), both Γ¯\overline{\Gamma} and βmin\beta_{min} can reach 1 in the thermodynamic limit, whereas for the intermediate phase (squares), it is between 0 and 1. We dub this multiple REPT phenomenon occurring with the changing staggered potential in the weak quasiperiodic region as Type-II REPT phenomenon.

III.4 The limits of the large η\eta

Refer to caption
Figure 5: (color online). (a) The average IPR ξ¯\overline{\xi} of all eigenstates as a function of λ\lambda for different η\eta with system size N=610N=610 and Δ=0\Delta=0. (b) The average IPR ξ¯\overline{\xi} in the λΔ\lambda-\Delta plane for η=100\eta=100 and N=610N=610, where white dashed line is λ=2Δ\lambda=2\Delta. The average IPR ξ¯\overline{\xi} as a function of λ\lambda for (c) Δ=0.5\Delta=0.5 and (d) Δ=1\Delta=1 with different system sizes.

Another interesting phenomenon occurs when η\eta is very large. From Fig. 2 we can see that as η\eta increases, the region of the extended and localized phases gradually expands and encroaches upon the region of the intermediate phase, a phenomenon that we also observe in other Δ\Delta parameters [see Fig. 6(a) and 8(a)]. It is as if to show that the system at η=\eta=\infty has an exact extended-localized phase transition point.

First, we considered the case of Δ=0\Delta=0, and Eq. 1 returns to the AAH model with the staggered potential. In this case, the system will exhibit multiple reentrant localization phenomenon. Besides, one can find that staggered potential will enhance AAH model’s localization properties in the extended region (λ<2\lambda<2), making it easier for the system to enter the localized phase. Especially when η\eta is large, even very small quasiperiodic potential can make the system localized APadhan2022 . As shown in Fig. 5(a), we demonstrate the average IPR ξ¯\overline{\xi} as a function of λ\lambda for Δ=0\Delta=0 at different η\eta. In the case of a large η\eta, the localization phase transition point exhibits λ=1/η\lambda=1/\eta. By analogy, when η=\eta=\infty, an arbitrarily small λ\lambda can induce a localization phase transition.

However, with the introduction of pp-wave superconductivity, as shown in Fig. 5(b), the localization phase transition point at η=100\eta=100 exhibits the same behavior as when λ=2Δ\lambda=2\Delta (where 1/η=0.011/\eta=0.01 is is small enough to be ignored). We further depict ξ¯\overline{\xi} as a function of λ\lambda for various system sizes. Notably, it becomes evident that the localization phase transition points for both Δ=0.5\Delta=0.5 and Δ=1\Delta=1 conform to the relational equation: λ=2Δ\lambda=2\Delta. Remarkably, these phase transition critical points remain invariant with the increasing system size. This large η\eta situation reminds us of the self-dual relationship of the AAH model. The difference in localization properties between Δ=0\Delta=0 and Δ>0\Delta>0 leads to the production of a new re-entrant phase transition.

IV The intermediate phase and mobility edge

In addition to the REPT phenomenon, one can also notice dramatic fluctuation of κ\kappa in the red triangle region of Fig. 2, which is neither characteristic of pure phase nor traditional intermediate phase, but of brand new phases and new mobility edges in this region. The core difference between the new mobility edge and the traditional one lies in the critical phase. To discuss this type of region more comprehensively, next we will examine the Δ=1\Delta=1 and Δ=1.2\Delta=1.2 cases, which emerge with all types of new mobility edges. To distinguish from the traditional intermediate state (where the extended and the localized states coexist), we categorized all the possible intermediate states in the system formed by the critical state and other states into several types and named each one of them. Their composition and terminology are summarized in Table 1.

    Int. Phases     Components
    Int. I     Extended + Localized
    Int. II     Extended + Critical
    Int. III     Localized + Critical
    Int. IV     Extended + Localized + Critical
Table 1: The intermediate (Int.) phases.
Refer to caption
Figure 6: (color online). (a) κ\kappa and (b) ξ¯\overline{\xi} show the λη\lambda-\eta phase diagram for Δ=1\Delta=1. The white dashed line denotes λ=η\lambda=\eta. For all plots, the system size L=610L=610.

IV.1 The case of Δ=1\Delta=1

Δ=1\Delta=1 is the critical case for the superconducting paired AAH model, which has only λ=4\lambda=4 one transition point between the critical and localized phases (η=0\eta=0 corresponds to the blue dashed line in Fig. 1). We show the κ\kappa and average IPR ξ¯\overline{\xi} in the λη\lambda-\eta plane in Fig. 6(a)(b), respectively. One can see a boundary in the figure, i.e., the white dashed line of λ=η\lambda=\eta. This boundary divides the region where κ\kappa has obvious fluctuations and another region where κ\kappa is relatively stable, which means that there will be different intermediate phases (with or without participation of the critical phase) on both sides of this critical boundary. Detailed evidence will be provided in the following part. Note that, in addition to the rich intermediate phases in the system, the results of κ\kappa and ξ¯\overline{\xi} jointly reveal that when the staggered potential strength η\eta and the quasiperiodic strength λ\lambda are relatively weak (The area labelled in the lower left of the figure), there still exists a pure critical phase.

Refer to caption
Figure 7: (color online). (a) Fractal dimension Γ\Gamma of all eigenstates as a function of η\eta for (a) λ=0.8\lambda=0.8 and (d) λ=3\lambda=3 with N=610N=610. (b1), (c1), (e1) and (f1) exhibit fractal dimensions Γ\Gamma as a function of n/Nn/N for different system, where L., C., and E. are abbreviations of the Localized region, Critical region, and Extended region, respectively. (b2), (c2), (e2) and (f2) show average fractal dimensions Γ¯R\overline{\Gamma}_{R} as a function of 1/m1/m for different regions. Throughout, we set Δ=1\Delta=1.

To prove the above conclusion, we further discuss the fractal dimensions Γ\Gamma for different λ\lambda. Firstly, in Fig. 7(a), we show how Γ\Gamma corresponding to all eigenstates in the system changes with η\eta when λ=0.8\lambda=0.8 is fixed. It is not difficult to notice that in the region with small η\eta, Γ\Gamma behaves neither as an extended state (Γ1\Gamma\rightarrow 1) nor as a localized state (Γ0\Gamma\rightarrow 0), but somewhere in between, which is evidence for the existence of a critical phase. As η\eta increases, some of the eigenstates are localized. Interestingly, as η>λ\eta>\lambda, the critical state is instantaneously extended and thus enters the conventional intermediate phase. Specifically, the system undergoes the following phase transitions: critical phase \rightarrow Int. III \rightarrow Int. I \rightarrow extended phase. Further, we selected η=0.2\eta=0.2, 0.50.5 and 22 in Fig. 7(b1)(c1) to discuss the fractal dimension Γ\Gamma at different system sizes. Since regions of n/N[0,0.5]n/N\in[0,0.5] and n/N[0.5,1]n/N\in[0.5,1] are symmetric, we exhibit only the results of region n/N[0,0.5]n/N\in[0,0.5]. For η=2\eta=2 (η=0.2\eta=0.2), the Γ\Gamma of all eigenstates increases (invariably) with the system size, which is a good proof of the extended property (critical property) of the system. While for η=0.5\eta=0.5, the Γ\Gamma well characterizes the localized states (decreasing with the increasing system size) and the critical state as the system size increases, indicating that the system is in the Int. III phase.

Since the number of eigenstates will increase with the growing system size, to grasp the more accurate scaling behavior of the system, we define the average fractal dimension in region RR as

Γ¯R=1LRnRΓn,\overline{\Gamma}_{R}=\frac{1}{L_{R}}\sum_{n\in R}\Gamma_{n}, (12)

where LRL_{R} is the eigenstates’ number of region RR, and R=loc,cri,extR=loc,~{}cri,~{}ext correspond to the extended, localized, and critical regions, respectively. For extended (localized) states, the average fractal dimension Γ¯ext\overline{\Gamma}_{ext} (Γ¯loc\overline{\Gamma}_{loc}) tends to be 11 (0) as the system size LRL_{R} increases, while Γ¯cri\overline{\Gamma}_{cri} corresponding to the critical state falls between 0 and 11 under the scaling limit. As shown in Fig. 7(b2)(c2), in the thermodynamic limit, overlineΓRoverline{\Gamma}_{R} with η=2\eta=2 is able to reach 1, while η=0.2\eta=0.2 lies between 0 and 1, indicating that it is in the extended and critical phases, respectively. For η=0.5\eta=0.5, the Γ¯R\overline{\Gamma}_{R} of the critical and localized regions in the thermodynamic limit are around 0.6 and 0, respectively, indicating that the system is in the Int. III phase.

Secondly, we show the case of λ=3\lambda=3 in Fig. 7(d)-(f). The results show that in the region η<λ\eta<\lambda (η>λ\eta>\lambda) the system is in Int. III phase (Int. I phase). As λ\lambda increases, the system undergoes a phase transition from Int. III phase to Int I phase at the critical point η=λ\eta=\lambda. Due to the multifractal property of the wavefunction, the different critical states have large numerical fluctuations. Therefore, one can see that the κ\kappa of new type intermediate phases will be quite different from that of the conventional intermediate phase. But exactly which type of intermediate phase it is going to be indeed needs further discussion.

Refer to caption
Figure 8: (color online). (a) The κ\kappa phase diagram in λη\lambda-\eta plane with Δ=0.5\Delta=0.5. The black dashed lines correspond to slices with λ=0.4\lambda=0.4 and η=4.4\eta=4.4, respectively. The two black dashed lines mark the critical points of phase transition from the extended to critical and from critical to localized phases of standard pp-wave paired AAH model (η=0\eta=0), respectively. (b) Fractal dimension Γ\Gamma of all eigenstates as a function of η\eta for λ=2\lambda=2 with N=610N=610. (c), (e) and (f) exhibit fractal dimensions Γ\Gamma as a function of n/Nn/N for different system, where L., C., and E. are abbreviations of the Localized region, Critical region, and Extended region, respectively. (d), (f) and (h) show average fractal dimensions Γ¯R\overline{\Gamma}_{R} as a function of 1/m1/m for different regions. Throughout, we set Δ=1.2\Delta=1.2.

IV.2 The case of Δ=1.2\Delta=1.2

Then we consider the more general case of Δ=1.2\Delta=1.2 with the relevant phase diagram shown in Fig. 8(a). When η=0\eta=0 (the case of red dashed line in Fig. 1), the system can be reduced to the standard pp-wave superconducting paired AAH model. In this condition, the extended-critical phase transition and the critical-localized phase transition of the system occur at λ=0.4\lambda=0.4 and λ=4.4\lambda=4.4, respectively. The introduction of staggered potential will result in the emergent intermediate phases in the region of λ[0.4,4.4]\lambda\in[0.4,4.4]. Fig. 8(a) shows that κ\kappa fluctuates in the region with weak staggered potential, and the fluctuation will become more significant as λ\lambda increases, which suggests the occurrence of intermediate phases where different states coexist. To ascertain what exactly these intermediate phases are, we calculate the corresponding fractal dimensions with respect to different staggered potential. As shown in Fig. 8(b) for λ=2\lambda=2, with the increase of η\eta, special phase transitions occur. To be more specific, the phase transitions occur gradually as follows: Int. III phase \rightarrow Int. IV phase \rightarrow Int. III phase \rightarrow Int. IV phase \rightarrow Int. II phase \rightarrow extended phase.

Fig. 8(c)-(h) show the results of the eigenstate scaling analysis. Here, scaling behaviors of fractal dimensions are discussed for η=0.5\eta=0.5(c)(d), 0.70.7(e)(f) and 55(g)(h), respectively. Specifically, when η=0.5\eta=0.5, the fractal dimension will be alternately of the localized phase and the critical phase as nn increases, which is the evidence of Int. III phase. When η=0.7\eta=0.7, the fractal dimension indicates the coexistence of the localized, critical and extended states in the system, which proves the existence of Int. IV phase. Finally, when η=5\eta=5, the fractal dimension shows that the critical phase and the extended phase coexist in the system, which is the evidence of Int. II phase.

Further, the scaling analysis of the fractal dimension Γ¯R\overline{\Gamma}_{R} for different regions is shown in Fig. 8(d), (f) and (h), and the average fractal dimension in different regions again confirms the existence of three intermediate phases, i.e, Int. III, Int. IV and Int. II phases.

V Conclusion

In summary, we investigate the pp-wave paired quasiperiodic model with staggered on-site potential. On the one hand, we report for the first time the reentry to the extended phase with increasing quasiperiodic intensity, i.e., the REPT phenomenon. Furthermore, we prove that multiple REPT phenomena can emerge in the system with varying staggered potential strength. On the other hand, different from the traditional intermediate phase (composed only of the extended and localized states), we find that there are novel intermediate phases in the system, which contain the critical states. Through the fractal dimension and scaling behavior analysis, we prove that there are three types of intermediate phases, namely, the extended state + the critical state; the localized state + the critical state; and the extended state + the localized state + the critical state, respectively. Since quasiperiodic models have already been successfully implemented in various tabletop experiments YLahini2009 ; YEKraus2012 ; MVerbin2013 ; MVerbin2015 ; PWang2020 ; SAGredeskul1989 ; DNChristodoulides2003 ; TPertsch2004 ; GRoati2008 ; GModugno2010 ; MLohse2016 ; SNakajima2016 ; HPLuschen2018 ; FAAnK2021 ; DTanese2014 ; PRoushan2017 ; FAAn2018 , the REPT phenomena and intermediate phase predicted in this paper are expected to be observed in the near future.

Acknowledgements.
This work was supported by the National Key Research and Development Program of China (Grant No.2022YFA1405300), the National Natural Science Foundation of China (Grant No.12074180), and the Guangdong Basic and Applied Basic Research Foundation (Grants No.2021A1515012350).

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