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Published in final edited form as: Phys Rev A (Coll Park). 2020 Sep;102(3):10.1103/PhysRevA.102.032208. doi: 10.1103/PhysRevA.102.032208

Quantum simulation of hyperbolic space with circuit quantum electrodynamics: From graphs to geometry

Igor Boettcher 1,*, Przemyslaw Bienias 1,2, Ron Belyansky 1, Alicia J Kollár 1, Alexey V Gorshkov 1,2
PMCID: PMC8204532  NIHMSID: NIHMS1686006  PMID: 34136733

Abstract

We show how quantum many-body systems on hyperbolic lattices with nearest-neighbor hopping and local interactions can be mapped onto quantum field theories in continuous negatively curved space. The underlying lattices have recently been realized experimentally with superconducting resonators and therefore allow for a table-top quantum simulation of quantum physics in curved background. Our mapping provides a computational tool to determine observables of the discrete system even for large lattices, where exact diagonalization fails. As an application and proof of principle we quantitatively reproduce the ground state energy, spectral gap, and correlation functions of the noninteracting lattice system by means of analytic formulas on the Poincaré disk, and show how conformal symmetry emerges for large lattices. This sets the stage for studying interactions and disorder on hyperbolic graphs in the future. Importantly, our analysis reveals that even relatively small discrete hyperbolic lattices emulate the continuous geometry of negatively curved space, and thus can be used to experimentally resolve fundamental open problems at the interface of interacting many-body systems, quantum field theory in curved space, and quantum gravity.

I. INTRODUCTION

Non-Euclidean and hyperbolic geometry has inspired thinkers for millennia due to its intriguing properties and perplexing beauty [1]. Besides its aesthetic appeal, the immense usefulness of hyperbolic geometry in physics due to the famous anti–de Sitter and conformal field theory (AdS-CFT) correspondence [2,3] makes field theories and quantum physics in hyperbolic space one of the central themes of current theoretical research. Furthermore, many recent developments in the context of holography and quantum information point towards a deep connection between geometry, entanglement, and renormalization [49]. Other exciting applications of hyperbolic geometry emerge, for instance, in the field of fault-tolerant quantum computing [1012]. To elevate the study of quantum physics in hyperbolic space from pure theory to experimentally verifiable questions, it is crucial to create laboratory setups for exploring the underlying effects in a tunable manner.

Important progress towards the quantum simulation of curved space has been made in nonlinear optical media [1319], ultracold quantum gases [2027], and other platforms [2832], which allowed, for instance, for observation of event horizons [33,34] and Hawking radiation [35,36]. In these experiments, curvature is often emulated in Euclidean geometries through nonlinear field propagation. A complementary path was followed in recent cutting-edge experiments in circuit quantum electrodynamics (QED) [3741], where hyperbolic geometry was emulated directly through photon dynamics confined to a hyperbolic lattice made from superconducting resonators [42,43]. The setup is highly tunable and can be used to achieve photon interactions, coupling to spin degrees of freedom, or the effects of disorder [4446]. Hyperbolic lattices have been investigated in the context of classical [4752] and quantum spin systems [53], and complex networks [54].

In this work, we show that quantum many-body Hamiltonians relevant for circuit QED on hyperbolic lattices can be approximated by a continuum theory on the Poincaré disk. This provides a computational tool to access observables even for otherwise intractable very large lattices, and shows that the discrete setup constitutes a quantum simulation of continuous hyperbolic space. We provide a dictionary between discrete and continuous geometry. To show the strength of our mapping, we quantitatively reproduce the ground state energy, spectral gap, and correlation functions for the noninteracting theory by analytic continuum formulas. We reveal how conformal symmetry emerges on hyperbolic lattices, implying significant computational simplifications in applications.

II. HYPERBOLIC LATTICES

The photon dynamics of the circuit QED experiments of Ref. [42] can be modeled as nearest-neighbor hopping on a hyperbolic graph G; see Fig. 1. We label the graph in Schläfli notation by {p, q}, which corresponds to a tessellation of the plane by regular p-gons with coordination number q. Whereas the three Euclidean lattices (triangular lattice {3, 6}, square lattice {4, 4}, honeycomb lattice {6, 3}) satisfy (p − 2)(q − 2) = 4, one can show that a hyperbolic tessellation is obtained for (p − 2)(q − 2) > 4. In this work, we focus on the heptagonal hyperbolic lattice {p, 3} with p = 7 for concreteness, but point out how to generalize the results to p ⩾ 7. The actual circuit QED experiments realize the line graph of G [43], but their continuum approximation is analogous.

FIG. 1.

FIG. 1.

(a) We consider the regular tessellation of the hyperbolic plane with heptagons, embedded into the Poincaré disk with a hyperbolic metric. All neighboring lattice sites have equal hyperbolic distance and the unit disk boundary is infinitely far away from each point in the interior. (b) Finite graphs preserving sevenfold rotation invariance can be constructed by considering subsets that are topologically equivalent to = 1, 2, 3 … concentric rings, shown here for = 3.

We consider the nearest-neighbor hopping Hamiltonian

H^0=ti,jGa^iAia^j, (1)

with a^i the photon creation operator on site i and t > 0. The entry Aij of the adjacency matrix A is 1 if sites i and j are connected by an edge, and zero otherwise. We construct finite hyperbolic graphs that preserve sevenfold rotation invariance from = 1, 2, 3, … successive quasi-concentric rings, where = 1 corresponds to a single heptagon; see Fig. 1. The total number of sites grows exponentially as N ~ 7φ2 for large , with φ=(1+5)/2 the golden ratio [51,52]; see Table I. Sites in the interior of G have coordination number 3, and sites on the boundary have either 2 or 3. The average coordination number for large is 31/5=2.553 and there is always a significant fraction of boundary sites.

TABLE I.

The total number of sites N=7[(3+52)+(352)2] grows exponentially as a function of the number of rings . Each finite graph is mapped onto a continuous disk of radius L=N/(N+28). The ground state energy E0 of the hopping Hamiltonian (1), defined as the lowest eigenvalue of the matrix H = −A, can be estimated from the lowest eigenvalue of Δg on the finite disk of radius L < 1, which gives E0(cont). Both values agree excellently for sufficiently large ; see also Fig. 3. For ⩾ 8 we have to resort to less precise sparse matrix methods to estimate E0.

Number of rings
1 2 3 4 5 6 7 8 9 10
Number of graph sites N 7 35 112 315 847 2240 5887 15435 40432 105875
Effective disk radius L 0.447 0.745 0.894 0.958 0.984 0.994 0.998 0.9990 0.9997 0.9999
Ground state energy (graph) E0 −2 −2.636 −2.787 −2.847 −2.877 −2.894 −2.905 −2.91 −2.92 −2.92
Ground state energy (continuum) E0(cont) −1.500 −2.570 −2.770 −2.842 −2.876 −2.895 −2.906 −2.914 −2.920 −2.924

For the continuum description, we embed the hyperbolic lattice into the Poincaré disk D={zC,|z|<1} with hyperbolic metric

ds2=dx2+dy2(1|z|2)2. (2)

(We write z = x + iy = re.) Let us briefly recall some properties of this space of constant negative curvature [1]: The hyperbolic distance between two points z,zD is

d(z,z)=12arcosh(1+2|zz|2(1|z|2)(1|z|2)), (3)

which reduces to |zz′| for |z|, |z′| ≪ 1. The boundary of D is infinitely far from every point in the interior and the area of a disk of radius L < 1 is πL2/(1 − L2). The isometries (distance preserving maps) of D are given by conformal automorphisms

zw(z)=eiηaz1za_ (4)

with η ∈ [0, 2π) and aD. These transformations exchange a with the origin, and so each point in D is equivalent. The group of mappings (4) is isomorphic to the group PSL(2,R) of Möbius transformations on the upper half-plane. The embedding assigns a coordinate ziD to each site iG so that neighboring sites are separated by a hyperbolic distance d0 = 0.283 128 [55]; see Appendix A. Importantly, the value of d0 is determined by the lattice geometry and cannot be varied.

On the Euclidean square lattice, nearest-neighbor hopping Hamiltonians of type (1) are related to the Laplacian through a finite difference approximation, facilitating powerful techniques such as the continuum theory of solids or lattice gauge theory in high-energy physics. The natural generalization of the Laplacian to curved manifolds is the Laplace-Beltrami operator

Δg=1detgi(detg(g1)ijj), (5)

where the metric tensor gij = (1 − r2)−2δij is related to the line element in Eq. (2) by ds2 = gijdxidxj. This operator is self-adjoint with respect to the canonical scalar product f1,f2=dVgf1*f2, with dVg=d2xdetg the invariant volume element. In our case, we find the hyperbolic Laplacian to be

Δg=(1|z|2)2(x2+y2). (6)

This operator is invariant under conformal automorphisms [1,56,57].

III. FROM GRAPHS TO GEOMETRY

To understand why Δg appears here, note that every function f:DC induces a function on the graph via if(zi). Consider then a lattice site zi with coordination number 3 and a sufficiently smooth function f(z); see Fig. 2. We have Aijf(zj) = f(zi+e1) + f(zi+e2) + f(zi+e3), where the right-hand side represents the sum over the neighbors of zi and we implicitly sum over repeated indices. To manipulate this expression, apply an automorphism zw(z) from Eq. (4) with η = 0 and a = zi. This exchanges zi with the origin. Furthermore, the three neighbors of zi are mapped to form an equilateral triangle with coordinates w1 = hei, w2 = heiei2π/3, w3 = heiei4π/3, and h = tanh(d0) = 0.275 798. The phase χi depends on the coordinate zi in a nontrivial manner; see Fig. 5 in the Appendix. Applying the inverse automorphism, we arrive at the identity

Aijf(zj)=f(ziw11w1z_i)+f(ziw21w2z_i)+f(ziw31w3z_i). (7)

This equation can be expanded in powers of h, with the linear term vanishing due to w1 + w2 + w3 = 0, and the quadratic term being universal and independent of χi:

Aijf(zj)=3f(zj)+34h2Δgf(zj)+O(h3). (8)

This relation between the adjacency matrix and the hyperbolic Laplacian remains true for p-gons with p > 7, albeit with a different value of h. We emphasize again that h = tanh(d0) is fixed by hyperbolic geometry and cannot be tuned. However, the right-hand side of Eq. (7) can be evaluated for every h and so permits a formal finite size scaling limit h → 0. In Appendix B we compute the O(h3) correction to Eq. (8) and discuss the role of boundary sites. In Appendix C, we show that it diminishes as the lattice parameter decreases.

FIG. 2.

FIG. 2.

(a) The adjacency matrix can be approximated by the hyperbolic Laplacian in the continuum limit through Eq. (8). To derive this property, we choose an arbitrary site zi with coordination number 3 (blue diamond). When applying the automorphism zw(z)=ziz1zzi, which maps zi to the origin, the three neighbors of zi (red squares) are mapped to an equilateral triangle. This implies Eq. (7), which can be expanded in powers of h to yield the desired relation. (b) Sums over lattice sites are replaced by integrals over hyperbolic space according to Eq. (9). This is achieved by assigning to each site zi an effective hyperbolic triangle with interior angles 2π/7 and area AΔ=π/28.

The next step towards a continuum theory for hyperbolic lattices is a formula to approximate sums over lattice sites by integrals over the Poincaré disk. For suitable functions f:DC, an argument from finite-element triangulations [5861] implies

iGf(zj)1AΔ|z|Ld2z(1|z|2)2f(z). (9)

Here, dVg = d2z/(1 − |z|2)2 is the invariant hyperbolic volume element and AΔ=(πγ1γ2γ3)/4=π/28 is the area of the hyperbolic triangle of the dual lattice with interior angles γ1 = γ2 = γ3 = 2π/7. Importantly, this implies that a finite graph with rings and N() sites corresponds to a finite continuous disk with effective radius

L=NN+28, (10)

the value of which is determined such that the right-hand side of Eq. (9) yields N when inserting f = 1. We display the first ten effective radii in Table I. In Appendix D, we present an alternative derivation of Eq. (9), which does not utilize the dual lattice. For tessellations with p-gons with p ⩾ 7, we replace 28π/AΔ=4p/(p6).

This dictionary how to approximate Aij and ∑iG on the hyperbolic lattice by their continuum counterparts comprises the first main result of this work. As an example consider the Bose-Hubbard model Hamiltonian on the hyperbolic lattice,

H^=iG[tjGa^iAija^jμa^ia^i+U(a^ia^i)2], (11)

with chemical potential μ and on-site interaction U. An exciting quantum simulation challenge would be to understand the phase diagram and universality class of the superfluid-to-Mott insulator transition in this model. The associated superfluid in hyperbolic space is then captured by the continuum Hamiltonian

H^=|z|Ld2z(1|z|2)2[α^i(tΔgμ)α^z+U(α^iα^z)2] (12)

with adjusted parameters t=34h2t, μ′ = μ + 3t, U=π28U. The field operators α^z=α^(z) satisfy curved-space commutation relations, [α^(z),α^(z)]=(1|z|2)2δ(2)(zz), and we have α^(zi)=28/πa^i. More generally, every many-body system with Lagrangian L(ai) where the kinetic term results from nearest-neighbor hopping, especially including multiple species of both bosons and fermions and strong or long-ranged interactions, can be simulated in hyperbolic space by putting it onto a hyperbolic lattice. The resulting continuum theory is described by the action S=dVgL(αz). In this work, we deliberately ignore boundary effects, although holographic models and simulation of bulk-boundary dualities [6266] are a fascinating application that we leave for future work.

IV. APPLICATIONS

The spectral theory of the hyperbolic Laplacian on the Poincaré disk is well understood [56,57]. We summarize the main aspects here and give some additional details in Appendix E. The eigenvalues of −Δg are ε = 1 + k2 with eigenfunctions

ψK(z)=((1|z|2)|1zeiβ|2)12(1+ik), (13)

where K = ke is a two-dimensional momentum vector. For z → 0 and k → ∞ (corresponding to infinite disk radius and Δg → Δ) we have εk2 and ψK(z)ei2(Kz_+zK_)=eik·x, which is the local Euclidean plane wave limit. In radial coordinates, we write

ψK(z)=m=imgkm(r)eim(ϕβ), (14)

generalizing the partial wave decomposition of plane waves. We have

gkm(r)P12(1+ik)m(1+r21r2), (15)

where Pνm is the Legendre function of the first kind. Restricting space to a finite disk of radius L < 1 and imposing Dirichlet boundary conditions, ψkm(L) = 0, we obtain a discrete energy spectrum εn=1+kn2 with kn > 0, analogous to a particle in a spherical well potential

As a first application of the continuum theory, we estimate ground state energy and spectral gap of the Hamiltonian in Eq. (1). We set t = 1. Since H^0 is quadratic this reduces to determining the lowest two eigenvalues of the matrix H = −A, which we label E0 and E1 = E0 + δE with spectral gap δE > 0. Note that the spectrum of H is contained in the real interval (−3, 3). For infinite lattices, the ground state energy is known from mathematical graph theory to lie in the interval [43,67,68] lim→∞ E0 ∈ [−2.966, −2.862]. To estimate the lowest eigenvalues from the continuum limit, we approximate H by the differential operator

H(cont)=334h2Δg (16)

with Dirichlet boundary conditions at radius L. Its eigenvalues are the discrete set En(cont)=3+34h2(1+kn2). As → ∞, the lowest possible kn → 0, which yields the ground state energy E=3+34h2=2.942 95, consistent with the graph bound. For finite ⩾ 1, the first two eigenvalues of H(cont) are readily computed from ψkm(L) = 0 for m = 0, 1, respectively. They agree remarkably well with the graph data for ≳ 4; see Table I and Fig. 3. For → ∞ we have

E0,1(cont)~E+3π2h241(lnφ+c0,1)2, (17)

with φ=(1+5)/2, c0 = ln 2, and c1 = ln 2 − 1. Equation (17) is derived in Appendix F.

FIG. 3.

FIG. 3.

Ground state energy E0 (blue, lower data) and first excited state energy E1 (orange, upper data) for the graph (filled circles) and corresponding continuous disk (empty circles). The solid lines are the asymptotic continuum formulas from Eq. (17). Inset: Partition function Z summed over negative energies for the graph with = 4 (blue) and associated disk (red) as a function of inverse temperature f. The dashed line is the low-temperature asymptote ln Z ~ −βE0.

As we go to higher energies, the spectra of H and H(cont) start to deviate. Still, the graph and continuum partition functions z=nΘ(En)eβEn and z=nΘ(En(cont))eβEn(cont) with inverse temperature β agree well; see the inset of Fig. 3. (We limit the sums to negative energies to roughly cut off high energy contributions clearly outside the continuum approximation.) The ability to quantitatively reproduce the low-energy graph spectrum and predict the behavior for large graphs by means of the continuum approximation constitutes the second main result of this work.

Our second application of the continuum theory is the computation of correlation functions on the graph from the continuum Green function. We denote the Green function of H = −A by

Gij(ω)=(1Hω)ij=n=1Nψn(i)ψn*(j)Enω. (18)

Here ψn and En are the eigenvectors and eigenenergies of H, n = Enψn, and ωC is a complex frequency. Gij(ω) constitutes the measurable two-point correlation function a^i(ω)a^j(ω)0 for the free theory averaged with respect to H^0, and can be written as an auxiliary field Gaussian path integral on the graph; see Appendix G. Approximating the latter by the continuum expressions, we obtain

Gij(ω)π21h2G(zi,zj,4(ω+3)3h2,L). (19)

Here G(z, z′, λ, L) is the Green function of the hyperbolic Helmholtz operator, i.e., it satisfies

(λ+Δg)G(z,z,λ,L)=(1|z|2)2δ(2)(zz) (20)

and Dirichlet boundary conditions G(z, z′, λ, L) = 0 for |z| = L or |z′| = L. Again, the disk radius L is matched to through Eq. (10). The accuracy of the approximation in Eq. (19) is remarkably good, as shown in Fig. 4.

FIG. 4.

FIG. 4.

Quantitative match between graph Green function Gij and continuum Green function G(zi, zj). We fix site zi to be on the second ring, and plot the correlations as a function Fj of site zj. Upper panel: Results for ω = −2.95 just below E0. Left: The two plots are Fj = Gij and Fj = G(zi, zj). The size of dots is proportional to |Fj|1/2, and blue (red) corresponds to positive (negative) sign of Fj. Right: Mean correlation function vs hyperbolic distance dij = d(zi, zj), where the red (black) data are the graph (continuum) function. To obtain the curves, we make a list of pairs (Fj, dij) and compute the average Fj as a function of distance, with the error bar being the standard deviation. The quantitative agreement between graph and continuum is remarkable. Emergent conformal symmetry is reflected by the data points collapsing onto a single curve Gij = f(dij) with some function f for large . The main plots are for = 6, the insets for = 3. Lower panel: The same setting for ω = −2.5 + 0.1i with Re(ω) > E0. We plot the real part of the correlation function.

The continuum Green function G(z, z′, λ, L) is uniquely specified by the Dirichlet boundary condition [57,6971]. The full but lengthy analytic expression is derived in Appendix H and summarized in Appendix I. As L → 1, the Green function is solely a function of the hyperbolic distance d(z, z′) due to automorphism invariance. For λ = 0 we have

G(z,z,0,L)=14πln|L(zz)L2zz_|2, (21)

which, indeed, is a function of tanh d(z,z)=|zz1zz_| for L = 1. In turn, this implies that also the graph correlation function Gij(ω) is approximately a universal function of the hyperbolic distance dij = d(zi, zj) for large , as shown in Fig. 4. The quantitative matching of graph and continuum Green functions and the finding of emergent conformal symmetry on the hyperbolic lattice constitute our third main result.

V. OUTLOOK

The continuum approximation for hyperbolic lattices that we have put forward shows a path for how quantum many-body systems in continuous hyperbolic space can be reliably simulated using discrete geometries. It also gives a computational framework to efficiently compute observables relevant for experiments simulating curved spaces. In particular, the continuum Green function can be used in diagrammatic techniques to accurately determine interaction effects even for relatively small system sizes. One platform of interest is, of course, circuit QED realizations, where the interplay of curvature and strong interactions between photons and qubit degrees of freedoms can be studied. However, hyperbolic lattices or their topological equivalents can, in principle, also be realized in other experimental platforms that allow for engineered hopping on graphs, including optical lattices for ultracold atoms [72] or electrical circuits [73], and thus can be utilized to simulate other many-body Hamiltonians in hyperbolic space (including fermions or artificial gauge fields). The strong coupling regime in experiment has the potential to uncover novel effects and can be used to benchmark our theoretical description of nonperturbative quantum physics in curved space.

The continuum formalism also naturally connects to statements of AdS-CFT correspondence and the intriguing interplay between boundary field theories and a gravitational bulk. In this context, we want to make the point that simulating bosons in hyperbolic space is related to simulating quantum gravity in two Euclidean dimensions. Although the Einstein-Hilbert action is purely topological in two dimensions, an important alternative theory for metric fluctuations is Liouville quantum gravity [74], which also appears in the context of the Sachdev-Ye-Kitaev (SYK) model [75] and bosonic string theory [76]. Since every two-dimensional metric can be written as gij = eφδij with a scalar field φ, a saddle-point expansion of the Liouville action yields a field theory for φ in a hyperbolic background of constant negative curvature, and fluctuations of φ in that background correspond to fluctuations of the metric gij. We conclude that hyperbolic lattices promise a bright future for the genuine simulation of quantum physics in curved space.

Supplementary Material

2

ACKNOWLEDGMENTS

We gratefully acknowledge collaboration and many inspiring discussions with R. Lundgren and A. Houck. We thank T. Jacobsen, V. Galitski, B. Swingle, and Y. Wang for insightful comments. This work was supported by DOE BES award DE-SC0019449 (hyperbolic lattice generation and analytical results), by the United States Army Research Lab’s Center for Distributed Quantum Information (CDQI) at the University of Maryland (numerical implementation), and by the National Science Foundation Physics Frontier Center at the Joint Quantum Institute award PHYS-1430094 (applications and asymptotic limits). R.B. also acknowledges fellowship support from NSERC and FRQNT.

APPENDIX A: EMBEDDING COORDINATES

In this Appendix, we explain how the finite graph with rings is embedded into the Poincaré disk.

We assign a coordinate ziD to each graph site iG such that neighboring sites are at hyperbolic distance d0, with d0 to be determined. In order to label the coordinates ziD, we have in mind the topologically equivalent graph with concentric rings; see Fig. 1 in the main text. We enumerate the N graph sites with an index i in a counterclockwise manner by starting on the first ring, then the second ring, and so forth. In this way, the first i = 1, …, 7 sites are on ring = 1, sites i = 8, …, 35 are on ring = 2, etc. The number of sites on each ring is summarized in Table II.

The construction of the tessellation starts with the central regular heptagon with |z1| = ⋯ |z7| = r0. For a general hyperbolic lattice {p, q} we have

r0=cos(πq+πp)cos(πpπq), (A1)

and so for our tessellation {7, 3} we find

r0=0.300 743. (A2)

In particular, the first two coordinates are z1 = r0 and z2 = r0e2πi/7 so that

d0=d(z1,z2)=0.283 128 (A3)

with d(z, z′) the hyperbolic distance in the Poincaré disk. Starting from the central heptagon, the hyperbolic lattice is generated by iteratively applying the two generators of the symmetry group of the tessellation to the existing sites, which are rotations by 2π/7 through the center of a heptagon and rotations by 2π/3 through a vertex. Alternatively, we can create polygons by iteratively inverting existing polygons on hyperbolic circles along the edges of the polygon.

A list of coordinates {zi} for the sites of the first = 6 rings is provided in the Supplemental Material [55]. The list contains 2240 lines, which correspond to the 2240 coordinates for the graph with six rings. The first (second) column of the data constitutes the real (imaginary) part of iiD. In order to extract the coordinates for a graph with = 1, 2, 3, 4, 5, 6 rings, restrict to the first 7,35,112,315,847,2240 lines of the data, respectively.

APPENDIX B: DERIVATION OF EQ. (7) AND CORRECTIONS

In this section we present a more detailed derivation of Eq. (7) for approximating the adjacency matrix by the hyperbolic Laplacian. We further discuss the validity of this relation for boundary sites with coordination number 2 and compute the next-to-leading order correction in the expansion in powers of h.

Derivation of Eq. (7).

Choose an arbitrary site zi of the hyperbolic lattice with coordination number 3. For a test function f:DC such that f(zi) = fi we then have

Aijfj=f(zi+e1)+f(zi+e2)+f(zi+e3), (B1)

where zi+ea with a = 1, 2, 3 stands for the sites adjacent to zi. The heptagonal lattice is such that all adjacent lattice sites have the same distance with respect to the hyperbolic metric. In particular, this property remains invariant under automorphisms of the Poincaré disk. We apply the transformation DD,

zw(z)=ziz1zz_i, (B2)
wz(w)=ziw1wz_i, (B3)

which exchanges zi and the origin. We write f(z)=f~(w(z)) and have

Aijfj=f~(w(zi+e1))+f~(w(zi+e2))+f~(w(zi+e3)). (B4)

The adjacent sites in the rotated frame, however, have very simple coordinates: Modulo rotation, they correspond to three sites at hyperbolic distance d0 from the origin, with mutual relative angle 2π/3. The corresponding Euclidean distance h in the disk is such that

d(h,0)=!d0, (B5)

and so

h=tanh(d0)=0.275 798. (B6)

We write

w1=w(zi+e1)=heiχi, (B7)
w2=w(zi+e2)=hei2π/3eiχi, (B8)
w3=w(zi+e3)hei4π/3eiχi, (B9)

where the angle χi is determined by the coordinate zi; see below. We have

w1+w2+w3=w12+w22+w32=0. (B10)

Applying the inverse automorphism we can parametrize the sites adjacent to zi as

zi+e1=z(w1)=ziw11w1z_i, (B11)
zi+e2=z(w2)=ziw21w2z_i, (B12)
zi+e3=z(w3)=ziw31w3z_i (B13)

and so

Aijfj=f(ziw11w1z_i)+f(=ziw21w2z_i)+f(ziw31w3z_i). (B14)

The right-hand side is a complex number that depends on the parameter h and can be approximated through Taylor’s formulas by a polynomial in h. We write

Aijfj=3f(zi)+Q1h+Q2h2+O(h3) (B15)

with

Q1=ddh[f(ziw11w1z_i)+f(ziw21w2z_i)+f(ziw31w3z_i)]h=0, (B16)
Q2=12d2dh2[f(ziw11w1z_i)+f(ziw21w2z_i)+f(ziw31w3z_i)]h=0. (B17)

We use a complex notation where we identify f(z)f(z,z_) and

z=z=12(xiy), (B18)
_z=z_=12(x+iy). (B19)

For a = 1, 2, 3 (with wa,h := dwa/dh = wa/h) we arrive at

ddhf(ziwa1waz_i)h=0=(1|zi|2)(w1,hz+w_1,h_z)f(zi), (B20)
d2dh2f(ziwa1waz_i)h=0=(1|zi|2)2(z2f(zi)w1,h2+_z2f(zi)w_1,h2)2z_i(1|zi|2)w1,h2zf(zi)2zi(1|zi|2)w_1,h2_zf(zi)+2(1|zi|2)2|w1,h|2z_zf(zi). (B21)

Summing over the index a and using a=13wa=a=12wa2=0 and |wa,h| = 1, this implies

Q1=0 (B22)

and

Q2=3(1|zi|2)2z_zf(zi). (B23)

Note that Δ=4z_z. Thus we have shown that

Aijfj=3f(zi)+34h2Δgf(zi)+O(h3) (B24)

for a site with coordination number 3.

Coordination number 2.

Any site zi with coordination number 2 necessarily lies on the boundary of the graph, which we assume to be built from rings. Denote the two sites adjacent to zi in G by zi+e1 and zi+e2. The coordinate of the third neighboring site zi+e3 lies on the ( + 1)th ring outside G, but is otherwise uniquely specified by the heptagonal tessellation of the hyperbolic plane. We then have

Aijfj=f(zi+e1)+f(zi+e2)=[f(zi+e3)+f(zi+e3)]0+f(zi+e1)+f(zi+e2)=f(zi+e3)+3f(zi)+34h2Δgf(zi)+O(h3). (B25)

We could now expand the first term to linear order in h, giving f(zi+e3) = f(zi) + nf(zi), with δnf(zi) a directional derivative along the line from zi to zi+e3. On the other hand, for our purposes we need Eq. (B24) only for the case that fi=a^i=α^(zi) is an annihilation operator. For any many-body state |Ψ〉 describing the system on graph G we have α^i+e3|Ψ=0, since zi+e3G. Consequently

Aija^j|Ψ=(3α^(zi)+34h2Δgα^(zi))|Ψ+O(h3), (B26)

and so the linear term should not affect observables. We leave the detailed analysis of these boundary effects to future work, since obviously they do not significantly affect the accuracy of the observables computed in this work.

Third order in h.

It is further possible to determine the coefficient Q3 in the expansion

Aijfj=3f(zi)+34h2Δgf(zi)+h3Q3+O(h4) (B27)

along the same lines. We have

Q3=12[e3iχiDf(zi)+e3iχiDf(zi)] (B28)

with differential operator

D=z2(1|zi|2)3z. (B29)

To understand the role of χi in this formula, it is instructive to express z in radial coordinates according to

z=eiϕ2(rirϕ). (B30)

Consequently only the combination

δi=χiϕi (B31)

is relevant when applying D in Eq. (B21). We find that δi in most cases (not all) only depends on the radius ri, and is wildly fluctuating as we go from one lattice site to the other; see Fig. 5. This may explain why the contributions of the operator D, although only suppressed by a power of h, seem to be unimportant for computing the observables we consider in this work.

FIG. 5.

FIG. 5.

The angle δi = χiϕi is heavily oscillating between sites with nearby radius. In most cases, δi only depends on the value of the radius |zi| = ri. Here we plot the averaged angle δi vs site radius ri for the first five rings (comprising 847 sites). The red “error bars” indicate those cases where the mapping δiri is not unique. Still, for any given site i we can unambiguously assign the value of δi through Eqs. (B7)(B9).

TABLE II.

Number of sites on the th ring, Nring(), and total number of sites for a graph with rings, N(), for the first eight rings.

rings
1 2 3 4 5 6 7 8
Nring() 7 28 77 203 532 1393 3647 9548
N() 7 35 112 315 847 2240 5887 15435

APPENDIX C: FINITE-SIZE SCALING LIMIT

In this section, we perform a formal finite-size scaling limit h → 0 of Eq. (B14) and show that the higher-order corrections vanish in this formal limit.

The lattice parameter h is fixed by hyperbolic geometry for every {p, 3} lattice through h = tanh(d0) with d0 = d(r0, r0e2πi/p) and r0 from Eq. (A1). Some examples for the lowest (and highest) values of p are

p 7 8 9 10
d0 0.283128 0.36352 0.409595 0.439590 1
h 0.275798 0.348311 0.388129 0.413304 1/2

We observe that the heptagonal lattice has the smallest value of h. As such, the fixed value of h yields a fundamental limit to the accuracy of the approximation in Eq. (B24). However, since h is relatively small, including the O(h3) correction in Eq. (B27) yields virtually exact results.

Remarkably, the right-hand side of Eq. (B14) can be evaluated for every value of h and so allows for a formal finite-size scaling limit h → 0. To see this, let us rewrite the equation as

(A^hf)i:=f(ziheiχi1heiχiz_i)+f(zihei2π/3eiχi1hei2π/3eiχiz_i)+f(zihei4π/3eiχi1hei4π/3eiχiz_i), (C1)

where we defined a formal, h-dependent operator A^h. Importantly, we can now modify the value of h at will. (But, for h ≠ 0.275 798, the operator loses its interpretation as the adjacency matrix of the heptagonal lattice.)

To simplify the finite-size analysis, let us focus on radially symmetry functions f(r). For most sites i, the expression (A^hf)i only depends on the radius ri; see Fig. 5. Consequently, after averaging over the radii, we can plot A^hf vs the hyperbolic distance from the origin d(r, 0); see Fig. 6. We compare the full expression A^hf with the quadratic and cubic continuum approximations given by

(A^h(2)f)i=3f(zi)+34h2Δgf(zi) (C2)

and

(A^h(3)f)i=3f(zi)+34h2Δgf(zi)h33[e3iχiDf(zi)+e3iχiD_f(zi)], (C3)

respectively. We verify that for h → 0 the quadratic approximation is sufficient to approximate the full result A^hf. For general h ⩽ 0.275 798, A^h(2)f always gives a good qualitative and overall approximation. For sizable but small h ~ 0.1, the cubic approximation is sufficient to even capture the quantitative behavior of A^hf, whereas, for the physical value h = 0.275 798, deviations between A^hf and A^h(3)f are visible, though small.

APPENDIX D: DERIVATION OF EQS. (8) AND (9)

In this section we show how sums of the type

iGf(zi) (D1)

with a suitable function f(z) can be approximated by integrals over the Poincaré disk with a finite radius L < 1. We assume the graph G to consist of rings. We present two methods: Method 1 is geometric in nature and relies on determining the area of the fundamental polygon of the dual lattice, whereas Method 2 is numerical and based on fitting the growth of the number of sites with increasing radial coordinate. The outcomes, Eqs. (8) and (9) in the main text, are the same.

Method 1.

The first method to approximate sums by integrals employs the fact that [5861]

iGAif(zi)d2z(1|z|2)2f(z) (D2)

With Ai=area(Pi), where Pi={zD:d(z,zi)d(z,zj)for allji} is the set of all points in D that are closer to zi in comparison to any other lattice point. Equation (D2) is commonly applied for discretization of curved manifold, such as in finite-elements methods for numerical simulations. Due to the high symmetry of the tessellation {p, 3} with regular p-gons, the set Pi is the fundamental triangle of the dual lattice {3, p}; see Fig. 4. Furthermore, the area Ai=AΔ is independent of i in this case, as all sites are equivalent with respect to automorphisms. We then arrive at Eq. (8) from the main text.

In order to compute the area AΔ, we note that the area of a hyperbolic triangle with interior angles α, β, γ is generally given by (παβγ)/4. In this case, all interior angles are 2π/p. To see this, choose a dual triangle with one vertex at the origin. Clearly, the interior angle at the site at the origin is 2π/p, because the outgoing geodesics are straight lines. However, since the other two vertices of the triangle can be brought to the origin by a suitable Moebius transformation, we conclude that in fact all interior angles are 2π/p. We then arrive at

AΔ=π4(16p), (D3)

as quoted in the main text. For p = 7, we have AΔ=π/28.

Method 2.

To simplify the matter let us first assume that f(z) only depends on r = |z|. Define the counting function

N(r)=iGΘ(rri). (D4)

Further introduce the hyperbolic invariant ρ via

ρ=1+r21r2,dρ=4drr(1r2)2. (D5)

We find that N(r) is approximately linear in p and given by

N(r)14ρ+b, (D6)

with b a constant; see Fig. 7. Hence dN(r)=14dρ. In order to approximate the finite sum by a compactly supported integral, we restrict the integration to a disk of radius L < 1, with L to be determined. We have

iGf(ri)dN(r)f(r)=14dρf(r)=14×40Ldrr(1r2)2f(r)=14×42π|z|Ld2z(1|z|2)2f(|z|). (D7)

we fix the effective radius L by matching the total number of sites N to the right-hand side 14×42ππL21L2 for f(r) = 1. This yields

L=NN+28. (D8)

In order to approximate the angular dependence for a more general function f(z) = f(re) we can employ standard arguments from Riemann integration. Due to the sevenfold rotation invariance of the lattice we can divide the N lattice sites {iG} into N/7 “shells,” labeled [i], where each shell contains seven sites with equal radius ri and angle ϕi + 2π j/7 with j = 0, …, 6. Summing over these seven sites for fixed ri we have

j=06f(rieiϕi+2πij/7)702πdϕ2πf(rieiϕ), (D9)

where we approximated the sum by a Riemann integral. For the total sum over lattice sites we then have

iGf(rieiϕi)=[i]j=06f(rieiϕi+2πij/7)02πdϕ2π([i]7f(rieiϕ))=02πdϕ2πiGf(rieiϕ)02πdϕ2π14×40Ldrr(1r2)2f(reiϕ)=14×42π|z|Ld2z(1|z|2)2f(z). (D10)

This shows that Eq. (D7) generalizes to functions with nontrivial angular dependence.

FIG. 6.

FIG. 6.

Finite-size scaling. We define the h-dependent operator A^h through Eq. (C1), which allows us to connect the physical value of h = 0.275 798 for the heptagonal lattice to a formal h → 0 limit. For the radially symmetric test function f(r) = cos[πd(r, 0)] we show here A^hf (empty black circles), the cubic approximation A^h(3)f from Eq. (C3) (filled blue squares), and the quadratic approximation A^h(2)=3f+34h2Δgf (gray solid line). We subtract 3f for better visibility of the deviations. The three figures correspond to decreasing values of h, with the individual values given in the plot labels. As h → 0, the quadratic approximation quantitatively reproduces the full expression.

FIG. 7.

FIG. 7.

Counting function N(r) for radii within the first = 4 rings versus the linear curve 14ρ + b, with b = −9.096.

APPENDIX E: EIGENFUNCTIONS OF HYPERBOLIC LAPLACIAN

In this section we summarize the spectral properties of the hyperbolic Laplacian, i.e., the eigenvalues and eigenfunctions in different representations.

We label the eigenfunctions of Δg on the Poincaré disk by a momentum parameter

K=keiβ (E1)

with k ⩾ 0 the amplitude and β ∈ [0, 2π) a phase. The corresponding eigenfunction is

ψK(z)=((1|z|2)|1zeiβ|2)12(1+ik), (E2)

and applying Δg=4(1|z|2)2z_z it is easy to see that the corresponding eigenvalue is

εK=(k2+1). (E3)

The norm of ψK for a disk of radius L < 1 is

ψK2=|z|Ld2z(1|z|2)2|ψK(z)|2=πL21L2, (E4)

which is the hyperbolic volume of the disk. Note how this is analogous to the Euclidean case. Indeed, the Euclidean plane wave solutions

ψK(z)eik·x=exp[i2(Kz_+K_z)] (E5)

are recovered for z ≪ 1 and k ≫ 1, which corresponds to the radius of the Poincaré disk approaching infinity and hence vanishing curvature.

Often it is advantageous to express the eigenfunction in radial coordinates z = re. For k ⩾ 0 and mZ we define the radial eigenfunctions gkm(r) corresponding to the eigenvalue −(k2 + 1) such that

ψK(z)=m=imgkm(r)eim(ϕβ). (E6)

The ansatz is motivated by the Euclidean formula

eik·x=m=imJm(kr)eim(ϕβ) (E7)

with Bessel functions Jm. We have

gkm(r)=im02πdϕ2πeimϕ(1r2|1reiϕ|2)12(1+ik), (E8)

which can be solved numerically. However, the functions gkm(r) can be determined in closed form by making the ansatz gkm(r)=g^(1+r21r2), which leads to Legendre’s differential equation (H14) for g^. This yields

gkm(r)Pvm(1+r21r2) (E9)

with ν=12(1+ik) and Pvm the Legendre function of the first kind. The correct prefactor ensuring Eq. (E6) is found to be

gk,m=0(r)=Pν(1+r21r2),gk,m>0(r)=1n=0m1(νn)Pνm(1+r21r2),gk,m<0(r)=(1)mgk,m>0(r). (E10)

In the Euclidean limit r ≪ 1 and k ≫ 1, we recover gkm(r) ≃ Jm(kr).

TABLE III.

We compare the ground and first excited state energies for the graph and continuum for = 1, …, 10. The “asymptotic” continuum formulas for E0(cont) and E1(cont) correspond to Eqs. (F10) and (F16), respectively. For ⩾ 8 we give an estimate of E0 and E1 from sparse matrix methods.


1 2 3 4 5 6 7 8 9 10
E0 −2 −2.636 −2.787 −2.847 −2.877 −2.894 −2.905 −2.91 −2.92 −2.92
Exact E0(cont) − 1.500 −2.570 −2.770 −2.842 −2.876 −2.895 −2.906 −2.914 −2.920 −2.924
Asymptotic E0(cont) −2.535 −2.738 −2.820 −2.861 −2.884 −2.899 −2.909 −2.916 −2.921 −2.924
E1 −1.274 −2.283 −2.627 −2.762 −2.827 −2.863 −2.884 −2.90 −2.91 −2.91
Exact E1(cont) 0.620 −2.085 −2.578 −2.746 −2.821 −2.861 −2.884 −2.899 −2.908 −2.915
Asymptotic E1(cont) 15.58 −1.633 −2.507 −2.728 −2.815 −2.858 −2.883 −2.898 −2.908 −2.915

APPENDIX F: COMPUTATION OF LOWEST EIGENVALUES AND DERIVATION OF EQ. (14)

In this section we give details for the determination of the ground state energy and spectral gap of (1) the Hamiltonian H = −A on a graph with rings and (2) its continuum approximation H(cont)=334h3Δg on a disk of radius L=N/(N+28).

Graph Hamiltonian.

Denote the lowest two eigenvalues of H by E0 and E1 > E0. For moderately sized ≲ 7 we easily find the spectrum of A using matrix diagonalization. For larger ⩾ 8, due to the exponential increase in the size of the matrix, we use sparse matrix techniques to determine the lowest two eigenvalues. Specifically, we employ the numerical Lanczos algorithm to estimate E0 and E1, and estimate the results to be reliable to about three significant digits. Note that the accuracy of the algorithm becomes worse as the spacing between E0 and E1 becomes smaller. Since a more precise determination of the values of E0 and E1 is not among the goals of the present work, we are not able to test whether the relative error between E0,1 and E0,1(cont) decreases as → ∞. The results are summarized in Table III.

Continuous Hamiltonian.

The eigenvalues of H(cont) read

Enm=3+34h2(knm2+1), (F1)

where knm satisfies the Dirichlet boundary condition

Pνnmm(1+L21L2)=0 (F2)

with Legendre function of the first kind Pvm and vnm=12(1+iknm). We label the eigenenergies by n = 1, 2, 3, … and mZ. The ground and first excited states have azimuthal quantum numbers m = 0 and m = 1, respectively. In order to declutter notation in the following we define

k0=k1,0,E0(cont)=3+34h2(k02+1), (F3)
k0=k1,1,E1(cont)=3+34h2(k12+1). (F4)

Equation (F2) is readily solved numerically and we present the lowest two eigenvalues E0(cont) and E1(cont) in Table III.

We can employ Eq. (F2) to compute the asymptotic behavior of k0 as L → 1 (or equivalently → ∞). For large x → ∞ we have

Pν(x)~(2x)12(1+ik)Γ(ik)Γ(12(1ik))2+(2x)12(1ik)Γ(ik)Γ(12(1+ik))2 (F5)

\ with Euler’s Γ function. In order to find the zeros we consider the amplitude

|Pν(x)|2~(2x)|Γ(ik)Γ(12(1ik))2|2×|1+(2x)ikΓ(ik)Γ(12(1ik))2Γ(ik)Γ(12(1+ik))2|2=2xcosh2(πk/2)πksinh(πk)×|1+(2x)ikeiΦ(k)|2 (F6)

with

iΦ(k)=ln(Γ(ik)Γ(12(1ik))2Γ(ik)Γ(12(1+ik))2). (F7)

The first term in Eq. (F6) is positive. Thus the lowest zero k0 for L → 1 follows from

π=!k0ln(2x)+Φ(k0)=k0ln(2x)π+4k0ln2+O(k3)=π+k0ln(8x)+O(k3) (F8)

for x=1+L21L2. Consequently,

k0~2πln(81+L21L2)πln(2φ). (F9)

We inserted N ~ 7φ2 with golden ratio φ=(1+5)/2 such that 1+L21L2~12φ2. The ground state energy for large follows as

E0(cont)~3+34h2+3π2h241[lnφ+ln2]2. (F10)

The first excited state energy of H(cont) can be determined in a fully analogous way from

Pν11(1+L21L2)=0,ν1=12(1+ik1). (F11)

We have

|Pν1(x)2||1+(2x)ikeiΦ1(k)|2 (F12)

with

iΦ1(k)=ln(Γ(ik)Γ(12(1ik))Γ(12(1ik))Γ(ik)Γ(12(1+ik))Γ(12(1+ik))). (F13)

Hence k1 for x=1+L21L2 is found from

π=!k1ln(2x)+Φ1(k1)=k1ln(2x)π+2[2ln21]k1+O(k13)=πk1ln(8xe2)+O(k13). (F14)

This implies

k1~2πln(8e21+L21L2)πln(2eφ) (F15)

and

E1(cont)~3+34h2+3π2h241[lnφ+ln21]2. (F16)

APPENDIX G: DERIVATION OF EQ. (16)

In this section we derive the relation between the graph green function Gij(ω) and the continuum Green function G(z, z′, λ, L) using an auxiliary field path integral representation.

We first recall some path integral identities [70]. If θi is a discrete real variable and Mij a real and symmetric matrix then

θiθj:=Dθθiθje12θkMklθlDθe12θkMklθl=(M1)ij (G1)

with Dθ=idθi. Furthermore, if θ(x) is a real field and D^ a differential operator, then Dθ=xdθ(x) and

θ(x)θ(y):=Dθθ(x)θ(y)e12ddrθD^θDθe12ddrθD^θ=G(x,y), (G2)

where G(x, y) is the Green function of D^ according to

D^G(x,y)=δ(d)(xy) (G3)

This can be applied to match the Green function on the graph Gij to the continuum Green function G(z, z′) evaluated on the graph sites. The graph Green function is given by

Gij(ω,)=(1Hω1)ij=n=1Nψn(zi)ψn*(zj)εnω (G4)

with H = −A and n = εnψn. Introduce the auxiliary real field θiθ(zi) and approximate H334h2Δg and i28π|z|Ld2z(1|z|2)2 to find

Gij(ω,)=Dθθiθjexp[12i,jθi(Hω1)ijθj]Dθexp[12i,jθi(Hω1)ijθj]=Dθθiθjexp[12i,jθi[(31A)(ω+3)1]ijθj]Dθexp[12i,jθi[(31A)(ω+3)1]ijθj]Dθθ(zi)θ(zj)exp[1228π|z|Ld2z(1|z|2)2θ(z)[3h24Δg(ω+3)]θ(z)]Dθexp[1228π|z|Ld2z(1|z|2)2θ(z)[3h24Δg(ω+3)]θ(z)]=Dθθ(zi)θ(zj)exp[12C|z|Ld2z(1|z|2)2θ(z)[Δgλ]θ(z)]Dθexp[12C|z|Ld2z(1|z|2)2θ(z)[Δgλ]θ(z)]=1CG(zi,zj,λ,L) (G5)

with

C=3h2428π=21h2π=0.508,λ=4(ω+3)3h2. (G6)

Here G(z, z′, λ, L) is the hyperbolic Green function of (Δg + λ) on a disk of radius L, i.e.,

1(1|z|2)2(Δg+λ)G(z,z,λ,L)=δ(2)(zz). (G7)

We conclude

Gij(ω,)=π21h2G(zi,zj,λ=4(ω+3)3h2,L). (G8)

APPENDIX H: CONTINUUM GREEN FUNCTION (COMPUTATION)

In this section, we compute Green’s functions for the hyperbolic Laplacian Δg and hyperbolic Helmholtz operator λ + Δg (with λC) on the disk of radius L ⩽ 1 with Dirichlet boundary conditions. A self-contained summary of the relevant formulas is given in Appendix I.

Definition.

The Green function is defined by

(λ+Δg)G(z,z,λ,L)=(1|z|2)2δ(2)(zz) (H1)

with Δg=(1|z|2)24z_z acting on z and Dirichlet boundary conditions such that G(z, z′, λ, L) = 0 for |z| = L or |z′| = L. Here (1 − |z|2)2δ(2)(zz′) is the δ function with respect to the hyperbolic volume measure. For an arbitrary continuous function f:DC it is defined by

Dd2z(1|z|2)2(1|z|2)2δ(2)(zz)f(z)=f(z). (H2)

In Cartesian coordinates such that z = x + iy we have d2z = dx dy and δ(2)(zz′) = δ(xx′)δ(yy′).

Spectral representation.

It is always possible to give a closed expression for the Green function in terms of the spectral decomposition of the operator. For this write the eigenfunctions of the hyperbolic Laplacian in radial coordinates by gkm(r)eimϕ with gkm from Eq. (E10). The normalized eigenfunctions of Δg on the disk of radius L < 1 are given by

ψnm(z)=gknmm(r)eimϕgknmm, (H3)

where knm solves gknmm(L) = 0 and the norm is

gkm2=2π0Ldrr(1r2)2|gkm(r)|2. (H4)

The Green function can then be written in spectral representation as

G(z,z,λ,L)=m=nψnm(z)ψnm*(z)λ+knm2+1. (H5)

Equation (H1) follows from the completeness of the eigenfunctions and the Dirichlet boundary condition is satisfied due to ψnm(z) = 0 for |z| = L. However, the spectral representation is not the most useful form of the Green function since it requires one to determine the discrete momenta knm and subsequently to perform the double-sum numerically. Thus we derive a few complementary expressions in the following.

Hyperbolic Laplacian.

First consider the case λ = 0, where Eq. (H1) reduces to

ΔgG(z,z,0,L)=(1|z|2)2δ(2)(zz). (H6)

We divide by (1 − |z|2)2 and observe that G(z, z′, 0, L) coincides with the Green function of the ordinary Laplacian Δ on a disk of radius L < 1. The latter is given by

G(z,z,0,L)=14πln|zz|2+δG(z,z,0,L), (H7)

where the first term is the fundamental solution, while the second term is a harmonic function ensuring Dirichlet boundary conditions. We construct δG from a mirror charge outside the disk, whose location is obtained from inversion on the circle, zL2/z_. Hence

δG(z,z,0,L)=14πln|zL2z_|2+const (H8)

with a suitably chosen constant. We arrive at

G(z,z,0,L)=14πln|L(zz)L2zz_|2. (H9)

For z′ = 0 we have

G(r,0,0,L)=12πln(rL)=12πln(tanhd(r,0)L) (H10)

with d(r, 0) the distance from the origin.

Hyperbolic Helmholtz operator.

Now consider the case of arbitrary λC. We construct the Green function by reducing the problem to a one-dimensional Sturm–Liouville problem. We refer to Appendix C of Ref. [71] for a detailed discussion of the procedure. Write

G(z,z,λ,L)=G0(z,z,λ)δG(z,z,λ,L), (H11)

where G0 is the fundamental solution and δG is a harmonic function to ensure Dirichlet boundary conditions. To construct these functions, we first solve, for z ≠ 0, the equation

(λ+Δg)f(z)=0 (H12)

through an ansatz

f(z)=m=fλm(ρ)eimϕ (H13)

with ρ=1+r21r2. Then fλm satisfies Legendre’s differential equation

(1ρ2)fλm2ρfλm+(ν(ν+1)m21ρ2)fλm=0 (H14)

with ν=12(1+iλ1) or λ4=ν(ν+1). The two linearly independent solutions are

um(ρ)=Qν|m|(ρ), (H15)
vm(ρ)=Pν|m|(ρ), (H16)

which are the Legendre functions of the second/first kind, being singular/regular at ρ = 1. Without loss of generality we assume m ⩾ 0 in the following, otherwise replace m → |m|.

Introduce the Sturm-Liouville operator

Lm=4(ddρ[p(ρ)ddρ]+qm(ρ)) (H17)

with

p(ρ)=(1ρ2),qm(ρ)=ν(ν+1)m21ρ2. (H18)

We have

(λ+Δg)f(z)=m=eimϕLmfλm(ρ). (H19)

The fundamental solution of Lm is defined through

LmGm(ρ,ρ)=4δ(ρρ), (H20)

with the factor of 4 for later convenience. It is given by

Gm(ρ,ρ)=Cmum(ρmax)vm(ρmin)=Cm[um(ρ)vm(ρ)Θ(ρρ)+um(ρ)vm(ρ)Θ(ρρ)], (H21)

where ρmax(ρmin) is the maximum (minimum) of ρ and ρ′, and Cm a constant to be determined. To verify Eq. (H20), use Lmum = 0 and Lmvm = 0 and the definition of Lm to find

LmGm(ρ,ρ)=4Cmkm(ρ)δ(ρρ), (H22)

Where

κm(ρ)=p(ρ)[um(ρ)vm(ρ)um(ρ)vm(ρ)] (H23)
=4mΓ(ν+m+22)Γ(ν+m+12)Γ(νm+22)Γ(νm+12) (H24)

is constant and follows from the Wronksian of Legendre’s functions [69]. Thus we have to choose Cm = −1/κm and find

Cm=Γ(νm+22)Γ(νm+12)4mΓ(ν+m+22)Γ(ν+m+12) (H25)

or

C0=1, (H26)
Cm0=(1)|m|n=0|m|1[(n+12)2+14(λ1)]. (H27)

We conclude that the fundamental solution of λ + Δg is given by

G0(z,z,λ)=12πm=eim(ϕϕ)Gm(ρ,ρ). (H28)

Indeed, using meim(ϕϕ)=2πδ(ϕϕ) and

(1|z|2)2δ(2)(zz)=(1r2)2rδ(rr)δ(ϕϕ)=4δ(ρρ)δ(ϕϕ) (H29)

we verify

(λ+Δg)G0(z,z,λ)=12πm=eim(ϕϕ)LmGm(ρ,ρ)=12πm=eim(ϕϕ)4δ(ρρ)=(1|z|2)2δ(2)(zz). (H30)

Equation (H28) for the fundamental solution G0 allows one to easily construct the correction δG such that the total Green function G=G0δG satisfies Dirichlet boundary conditions: If either |z| = L or |z′| = L, then ρmax=1+L21L2. Consequently, we choose

δG(z,z,λ,L)=12πm=eim(ϕϕ)Cmvm(ρ)vm(ρ)um(1+L21L2)vm(1+L21L2). (H31)

This is a harmonic function and satisfies G0=δG whenever |z| = L or |z′| = L. As an illustrative example consider the central correlation function for z′ = 0. We have

G(z,0,λ,L)=12π[Qν(1+r21r2)Qν(1+L21L2)Pν(1+L21L2)Pν(1+r21r2)], (H32)

clearly vanishing for r = L.

The Green function for L = 1 can be given in closed form, because it can only depend on the hyperbolic invariant d(z, z′). Making the ansatz G(z,z,λ,1)=F(y) with

y=cosh[2d(z,z)]=1+2|zz|2(1|z|2)(1|z|2), (H33)

we find for zz (or y > 1) that

0=!(λ+Δg)F(y)=2[(1y2)F(y)2yF(y)λ4F(y)], (H34)

which again is Legendre’s differential equation. The singular contribution gives the fundamental solution, because

Qv(y1)~ln(12arcosh(y))+const, (H35)

and the regular solution is the harmonic correction to ensure the Dirichlet boundary condition. Hence

G(z,z,λ,1)=12π[Qν(y)CPν(y)] (H36)

with

C=limyQν(y)Pν(y). (H37)

Importantly, since the fundamental solution does not depend on L, it is always given by [57]

G(z,z,λ)=12πQν(1+2|zz|2(1|z|2)(1|z|2)). (H38)

To compute the constant C, the parameter λ needs to be restricted to λC\[1,), since the spectrum k2 + 1 of −Δg on the infinite disk is in the interval [1, ∞). For real λ < 1 this implies ν < −1/2. We expand Pν(y) and Qν(y) for large y and arrive at

C=2νiνπ3/2Γ(ν)Γ(1+ν2)Γ(1+ν2)[cos(πν2)Γ(1+ν2)2Γ(1ν2)2+isin(πν2)Γ(1+ν2)2Γ(ν2)2]. (H39)

APPENDIX I: CONTINUUM GREEN FUNCTION (SUMMARY)

We summarize the expressions for the Green function G(z, z′, λ, L) derived in Appendix H. We write

G(z,z,λ,L)=G0(z,z,λ)δG(z,z,λ,L), (I1)

where the first term is given by

G0(z,z,λ)=12πQv(1+2|zz|2(1|z|2)(1|z|2)) (I2)

with Qν=Qνm=0 the Legendre function of the second kind and

ν=12(1+iλ1). (I3)

The second term reads

δG(z,z,λ,L)=12πPν(ρ)Pν(ρ)Qν(1+L21L2)Pν(1+L21L2)+1πm=1Cmcos[m(ϕϕ)]Pνm(ρ)×Pνm(ρ)Qνm(1+L21L2)Pνm(1+L21L2). (I4)

with Pνm and Qνm the Legendre function of the first and second kind, hyperbolic invariant

ρ=1+r21r2, (I5)

and

Cm=Γ(νm+22)Γ(νm+12)4mΓ(ν+m+22)Γ(ν+m+12). (I6)

In practice, it is sufficient to limit the sum over m to the first few (typically ten or less) terms. For L = 1 we have

δG(z,z,λ,1)=C2πPv(1+2|zz|2(1|z|2)(1|z|2)) (I7)

with Pν=Pνm=0 and

C=2νiνπ3/2Γ(ν)Γ(1+ν2)Γ(1+ν2)[cos(πν2)Γ(1+ν2)2Γ(1ν2)2+isin(πν2)Γ(1+ν2)2Γ(ν2)2]. (I8)

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