This paper introduces a sign-problem-free model on the Kagome lattice that exhibits a gapped ${\mathbb Z}_2$ topological quantum spin liquid, supported by numerical evidence including entanglement entropy analysis.
Contribution
The study presents a novel, sign-problem-free Kagome lattice model that demonstrates a gapped ${\mathbb Z}_2$ quantum spin liquid phase, with insights from large-$N$ analysis and entanglement entropy.
Findings
01
Identification of a quantum spin liquid phase in the model
02
Evidence of a gapped ${\mathbb Z}_2$ topological phase
03
Numerical confirmation via entanglement entropy
Abstract
We present a study of a simple model antiferromagnet consisting of a sum of nearest neighbor SO(N) singlet projectors on the Kagome lattice. Our model shares some features with the popular S=1/2 Kagome antiferromagnet but is specifically designed to be free of the sign-problem of quantum Monte Carlo. In our numerical analysis, we find as a function of N a quadrupolar magnetic state and a wide range of a quantum spin liquid. A solvable large-N generalization suggests that the quantum spin liquid in our original model is a gapped Z2 topological phase. Supporting this assertion, a numerical study of the entanglement entropy in the sign free model shows a quantized topological contribution.
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Full text
Kagome model for a Z2 quantum spin liquid
Matthew S. Block
Department of Physics & Astronomy, California State
University, Sacramento, CA 95819
Jonathan D’Emidio
Institute of Physics, Ecole Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland
Ribhu K. Kaul
Department of Physics & Astronomy, University of Kentucky, Lexington, KY 40506-0055
Abstract
We present a study of a simple model antiferromagnet consisting of a
sum of nearest neighbor SO(N) singlet projectors on the Kagome
lattice. Our model shares some features with the popular S=1/2
Kagome antiferromagnet but is specifically designed to be free of the
sign-problem of quantum Monte Carlo. In our numerical analysis, we
find as a function of N a quadrupolar magnetic state and a wide
range of a quantum spin liquid. A solvable large-N generalization suggests that the quantum spin liquid in our
original model is a gapped Z2 topological phase. Supporting this assertion, a numerical
study of the entanglement entropy in the sign free model shows a quantized topological
contribution.
Quantum antiferromagnetism on the Kagome lattice is an
important playground in
the study of quantum spin liquids emerging from frustrated
magnetism. The most popular model in this family is the S=1/2 Kagome anti-ferromagnet H=J∑⟨ij⟩Si⋅Sj.
Despite a quarter of a century of intense research using an array of
numerical and analytic methods on this important model the ground state of
the S=1/2 Kagome anti-ferromagnet remains hotly contested.
While the absence of magnetic order is
uncontroversial Marston and Zeng (1995); Chalker and Eastmond (1992); Singh and Huse (1992); Leung and Elser (1993); Lecheminant et al. (1997), various
nonmagnetic ground states have been proposed
including, e.g., an array of quantum spin
liquids Ran et al. (2007); Yan et al. (2011); Iqbal et al. (2013); He et al. (2017) and valence bond solid ordering Marston and Zeng (1995); Nikolic and Senthil (2003); Singh and Huse (2007). In parallel to the theoretical work, a number of synthetic
quantum materials have been identified that provide venues where the interplay of
quantum fluctuations and frustration on the Kagome lattice give rise to novel unexplained behavior Balents (2010).
Of all the proposed phases of matter on the Kagome, the so-called gapped Z2
quantum spin liquid Sachdev (1992) is the simplest example of an exotic state with
long range entanglement Savary and Balents (2016), a prototypical quantum state that
cannot be deformed into a simple product or mean field state. In its
simplest incarnation, the
excitations above the ground state come in two basic varieties, an e particle
and an m particle which by themselves are bosons but are mutual semions Wen (1991); Kitaev and Laumann (2008). Remarkably it has been shown that the presence of
these excitations can be detected in the entanglement of the ground state wavefunction
itself, giving rise to a contribution called the “topological
entanglement entropy” Levin and Wen (2006); Kitaev and Preskill (2006). Although
this state is not yet experimentally accesible, we now have
a few model Hamiltonians that realize this topological order, including the toric
code Kitaev (2003), the honeycomb Kitaev model Kitaev and Laumann (2008), non-bipartite quantum dimer
models Moessner and Sondhi (2001); Misguich et al. (2002) and models of frustrated
bosons Balents et al. (2002); Isakov et al. (2006); Dang et al. (2011). It is clearly of great interest to extend this family of models with an eye to finding
simple models that could find realizations in physical systems.
Model: A number of variations on the basic S=1/2 Heisenberg model have been
introduced and studied on the Kagome lattice, including
Sp(N) Sachdev (1992), SU(N) Corboz et al. (2012),
larger spin versions of the two spin Heisenberg exchange Changlani and Läuchli (2015), as well as
certain multi-spin interactions Bauer et al. (2014).
In this work we present and study a new variant of the Kagome
anti-ferromagnet. Our model is constructed from spins which have a local Hilbert
space of N states, denoted for site j as ∣α⟩j where
α=1,…,N. The Hamiltonian can be written simply as a sum of singlet projectors on the nearest neighbors of the Kagome lattice,
[TABLE]
Physically, the Hamiltonian Eq. (1) can be viewed as
lowering the energy of singlet formation locally between nearest
neighbors. Since all pairs of neighbors cannot simultaneously form
singlets, quantum fluctuations play an important role in stabilizing
the ground state.
We note here that the usual S=1/2 Heisenberg model is also a sum of
singlet projectors, of the form Eq. (1) but with
∣Sij⟩→2∣↑↓⟩−∣↓↑⟩, which aside from the crucial
relative minus sign, is identical to our
singlet Eq. (2) at N=2. It is this discrepancy of sign that allows us to
sidestep the infamous sign problem and carry out large volume
numerical studies that are so far impossible for the S=1/2 Kagome
Heisenberg model.
The model Eqs. (1,2) has a global SO(N) symmetry in which each site transforms in the fundamental representation, ∣α⟩→Oαβ∣β⟩ and in the
path integral can be interpreted as a statistical mechanics model of tightly
packed unoriented loops Kaul (2012). A previous study Kaul (2015) on the triangular lattice found a 12×12
valence bond solid order at large values of N. Here by introducing a solvable large-N limit and a
numerical study of the
entanglement entropy at finite-N, we show that the
increased geometric frustration of the Kagome lattice realizes a
Z2 topological quantum spin liquid.
We simulate the model Hamiltonian
Eqs. (1-2) using the
stochastic series expansion Sandvik (2010) with loop
updates on 3×L×L lattices at an inverse temperature
β. To characterize the breaking of SO(N) symmetry we introduce
the operator
Q^αβ=∣α⟩⟨β∣−Nδαβ
which because of its tensorial nature we will call the “quadrupolar” order parameter.
The Fourier transformed susceptibility,
χQ(k)=βNsite1∫0βdτ∑reik⋅r⟨Qαα(r,τ)Qαα(0,0)⟩, is used to diagnose
quadrupolar order. We define Qzf2=χQ(0) as
the order parameter, a quantity which scales to a finite value in the thermodynamic limit
in the quadrupolar phase and to zero otherwise. To facilitate detection of the long
range order, we also study a correlation ratio RS=1−χQ(0)χQ(G/L)
where G is the shortest reciprocal lattice vector, which
scales to 1(0) in the symmetry broken (unbroken) phase. As shown in
Fig. 1, the quadrupolar order decreases as N is
increased. Finite size scaling shows that for N≤9 there is
quadrupolar order that breaks the SO(N) symmetry and for N>10
the quadrupolar order vanishes. The N=9 case is on the verge of
transition but a careful finite size scaling indicates that it is
quadrupolar ordered. We have searched extensively for translational
symmetry breaking at the N for which quadrupolar order is absent (as
was found in the triangular lattice Kaul (2015)),
but we find no evidence for this order, indicating the possibility of
a liquid like state. We now present field theoretic arguments and
numerical evidence that this phase is a Z2 quantum spin liquid.
*Large-N limit – * To introduce a solvable large-N limit that can capture both the quadrupolar as
well as non-magnetic phase, we
generalize the spins in our model to transform under larger
representations than the fundamental SO(N), using Schwinger bosons in which
each local spin state is
associated with one of N flavors of boson biα ( with
[biα,bjβ†]=δijδαβ). The
generalized spin model is then,
[TABLE]
with the constraint ∑αbiα†biα=nb, which fixes the representation of
the spin. Thus the family of models Eq. (3) has two parameters
nb and N. Clearly nb=1 corresponds to
Eq. (1). Increasing nb is a generalization of
Eq. (1), with different
representations of SO(N). These are SO(N) analogues of the well known Schwinger boson
method of implementing higher representations of SU(N) Arovas and Auerbach (1988); Read and Sachdev (1989a).
Using boson coherent states we obtain a functional integral representation of the partition
function Z=Tr[e−βHb],
with a field λi(τ) that enforces the on-site constraint and a
Hubbard-Stratonovich field Qij(τ) that decouples the quartic
interaction Arovas and Auerbach (1988),
[TABLE]
where we have set nb=κN. Integrating out the b fields
we obtain an effective action proportional to N. By fixing
κ a
large-N limit can be accessed
simply by a saddle
point evaluation. Assuming space and time independent Q and
λ we find evaluating the trace over bosons: Z=e−βVNf (where V is the total number of spatial unit cells), where,
f=V1∑kα(2JzQ2−λ(κ+21)+β1log2sinh(2βωkα)), and
ωkα=λ2−4Q2γkα2 the
dispersion of bosons and γkα are the three modes α=1,2,3
of the adjacency matrix on the Kagome, {1,21(−1±3+2cos(k⋅ai))}, where ai are the three shortest lattice
vectors on the triangular lattice Bravais lattice. At the saddle point
(obtained by extremizing Q and λ), there are two phases one
where the bα have a gap and the other where they are
condensed. The condensed phase of the bα breaks the
SO(N) symmetry and corresponds to the quadrupolar
order for the spin model, the implications of the gapped phase for the
spin model are
more subtle – we address them below. Numerically we find the
transition between these two phases where the gap goes to zero is at κc≈0.148… This gives a
phase boundary nb=κcN that we show in
Fig. 2 as a solid line. Also shown in solid circles are
the phases determined from QMC for nb=1. From this figure it is plausible by continuity that the quadruplar phase found in QMC corresponds to the
condensation of bα (κ>κc) and the liquid like
phase in the QMC corresponds to
the state in which the bα are gapped (κ<κc). We now ask what
non-magnetic state the original spin model goes into when
the bα acquire a gap? Following previous work Read and Sachdev (1989a), the state is determined by 1/N fluctuations beyond mean field,
which take the structure of a U(1) gauge theory. The unique aspect
here is that because of the
non-bipartite lattice all the bi carry the same sign of gauge
charge (as opposed to the staggered signs on bipartite lattices), and
thus because of the structure of the saddle point there is a charge-2
Higgs field coupled to the U(1) gauge theory. As originally discussed
in seminal work such a Higgs phase leaves behind a
Z2 gauge theory and a topological phase Fradkin and Shenker (1979). This line of
argument was used previously to establish emergent Z2 gauge
structures in large-N expansions Read and Sachdev (1991). We thus conclude that for κ<κc the spin model
will be in a Z2 quantum spin liquid phase. This suggests
by continuity that the liquid like phase observed in our original
model, Eq. (1) [the nb=1 limit of Eq. (3)]
is also in this interesting phase. We test this conjecture below.
It is also possible to take a direct large-N limit of Eq. (1)
(i.e. holding nb=1 fixed). Analogous to work on SU(N) models on
bipartite lattices Read and
Sachdev (1989b) we obtain as an effective theory, a quantum dimer model on the Kagome lattice,
where the spin wavefunction is obtained by replacing each dimer with
∣S⟩ of Eq. (2). At N=∞ all dimer
coverings are degenerate and 1/N corrections introduce dynamics into
the quantum dimer model. In this limit it is clear that quadrupolar
order is absent, consistent with our numerical findings. While the quantum dimer model so obtained is not
generally solvable, it is plausible that for
N≫1, our model Eq. (1) ends up
in the same Z2 spin liquid phase as an exactly solved
Kagome quantum dimer
model Misguich et al. (2002), since the topological spin liquid is
expected to be stable to all small deformations of the
Hamiltonian. This limit suggests that at nb=1 the model remains in
a liquid state for arbitrary large N, as shown in Fig. 2.
Entanglement: Having presented circumstantial evidence for a
spin liquid in our model Eq. (1) from
large-N expansions, we return to numerical simulations to
provide direct evidence for the Z2 quantum spin
liquid phase. We carry out
measurements of the topological entanglement entropy (TEE), which has
been a fruitful tool to detect topological order numerically
Furukawa and Misguich (2007); Isakov et al. (2011); Grover et al. (2013); Jiang et al. (2012). In phases
with topological order the TEE appears as a universal negative
contribution to the entanglement entropy
Levin and Wen (2006); Kitaev and Preskill (2006). With L the linear size of a smooth
simply connected subsystem, for large L in a thermodynamic system:
SL=aL−γ+..., where the first term is the
so-called “area law” contribution with a non-universal and the
second term is the universal TEE piece. For the Z2 state
found in our large-N study and in the Kagome quantum dimer model, it is predicted that
γ=log(2) in the ground state. This expectation has been
extended to finite temperatures as well, where due to two different excitation gaps associated with e and m particles, γ is predicted to show two plateaus at log(2)/2 and log(2) as a function of inverse temperature Castelnovo and
Chamon (2007).
In order to isolate γ we compute the difference in entanglement
entropy of differently shaped regions Levin and Wen (2006), written as
2γ=S\leavevmodeto5.98pt\vboxto5.41pt\pgfpicture\makeatletter\lower-0.56905ptto0.0pt\pgfsys@beginscope\pgfsys@invoke\definecolorpgfstrokecolorrgb0,0,0\pgfsys@color@rgb@stroke000\pgfsys@invoke\pgfsys@color@rgb@fill000\pgfsys@invoke\pgfsys@setlinewidth0.4pt\pgfsys@invoke\nullfontto0.0pt\pgfsys@beginscope\pgfsys@invoke\pgfsys@beginscope\pgfsys@invoke\pgfsys@setlinewidth1.1381pt\pgfsys@invoke\pgfsys@moveto4.83698pt4.26791pt\pgfsys@lineto0.0pt4.26791pt\pgfsys@lineto0.0pt0.0pt\pgfsys@lineto4.83698pt0.0pt\pgfsys@stroke\pgfsys@invoke\pgfsys@invoke\lxSVG@closescope\pgfsys@endscope\pgfsys@invoke\lxSVG@closescope\pgfsys@endscope\hss\pgfsys@discardpath\pgfsys@invoke\lxSVG@closescope\pgfsys@endscope\hss\lxSVG@closescope\endpgfpicture(2)−S\leavevmodeto5.41pt\vboxto5.98pt\pgfpicture\makeatletter\lower-1.1381ptto0.0pt\pgfsys@beginscope\pgfsys@invoke\definecolorpgfstrokecolorrgb0,0,0\pgfsys@color@rgb@stroke000\pgfsys@invoke\pgfsys@color@rgb@fill000\pgfsys@invoke\pgfsys@setlinewidth0.4pt\pgfsys@invoke\nullfontto0.0pt\pgfsys@beginscope\pgfsys@invoke\pgfsys@beginscope\pgfsys@invoke\pgfsys@setlinewidth1.1381pt\pgfsys@invoke\pgfsys@moveto0.0pt0.0pt\pgfsys@lineto4.26791pt0.0pt\pgfsys@lineto4.26791pt4.26791pt\pgfsys@lineto0.0pt4.26791pt\pgfsys@lineto0.0pt-0.56906pt\pgfsys@stroke\pgfsys@invoke\pgfsys@invoke\lxSVG@closescope\pgfsys@endscope\pgfsys@invoke\lxSVG@closescope\pgfsys@endscope\hss\pgfsys@discardpath\pgfsys@invoke\lxSVG@closescope\pgfsys@endscope\hss\lxSVG@closescope\endpgfpicture(2)+S\leavevmodeto5.98pt\vboxto5.41pt\pgfpicture\makeatletter\lower-0.56905ptto0.0pt\pgfsys@beginscope\pgfsys@invoke\definecolorpgfstrokecolorrgb0,0,0\pgfsys@color@rgb@stroke000\pgfsys@invoke\pgfsys@color@rgb@fill000\pgfsys@invoke\pgfsys@setlinewidth0.4pt\pgfsys@invoke\nullfontto0.0pt\pgfsys@beginscope\pgfsys@invoke\pgfsys@beginscope\pgfsys@invoke\pgfsys@setlinewidth1.1381pt\pgfsys@invoke\pgfsys@moveto-0.56906pt0.0pt\pgfsys@lineto4.26791pt0.0pt\pgfsys@lineto4.26791pt4.26791pt\pgfsys@lineto-0.56906pt4.26791pt\pgfsys@stroke\pgfsys@invoke\pgfsys@invoke\lxSVG@closescope\pgfsys@endscope\pgfsys@invoke\lxSVG@closescope\pgfsys@endscope\hss\pgfsys@discardpath\pgfsys@invoke\lxSVG@closescope\pgfsys@endscope\hss\lxSVG@closescope\endpgfpicture(2)−S\leavevmodeto6.54pt\vboxto5.41pt\pgfpicture\makeatletter\lower-0.56905ptto0.0pt\pgfsys@beginscope\pgfsys@invoke\definecolorpgfstrokecolorrgb0,0,0\pgfsys@color@rgb@stroke000\pgfsys@invoke\pgfsys@color@rgb@fill000\pgfsys@invoke\pgfsys@setlinewidth0.4pt\pgfsys@invoke\nullfontto0.0pt\pgfsys@beginscope\pgfsys@invoke\pgfsys@beginscope\pgfsys@invoke\pgfsys@setlinewidth1.1381pt\pgfsys@invoke\pgfsys@moveto-0.56906pt0.0pt\pgfsys@lineto4.83698pt0.0pt\pgfsys@stroke\pgfsys@invoke\pgfsys@invoke\lxSVG@closescope\pgfsys@endscope\pgfsys@beginscope\pgfsys@invoke\pgfsys@setlinewidth1.1381pt\pgfsys@invoke\pgfsys@moveto-0.56906pt4.26791pt\pgfsys@lineto4.83698pt4.26791pt\pgfsys@stroke\pgfsys@invoke\pgfsys@invoke\lxSVG@closescope\pgfsys@endscope\pgfsys@invoke\lxSVG@closescope\pgfsys@endscope\hss\pgfsys@discardpath\pgfsys@invoke\lxSVG@closescope\pgfsys@endscope\hss\lxSVG@closescope\endpgfpicture(2), where SA(2)=−log(TrρA2) is
the second Rényi entanglement entropy and the subscript A denotes
the specific subsystem. Writing the Rényi entanglement entropy in
terms of replica partition functions SA(2)=−log(ZA(2)/Z2)
Calabrese and Cardy (2004), the Levin-Wen measurement can be
expressed as 2γ=log(Z\leavevmodeto5.41pt\vboxto5.98pt\pgfpicture\makeatletter\lower-1.1381ptto0.0pt\pgfsys@beginscope\pgfsys@invoke\definecolorpgfstrokecolorrgb0,0,0\pgfsys@color@rgb@stroke000\pgfsys@invoke\pgfsys@color@rgb@fill000\pgfsys@invoke\pgfsys@setlinewidth0.4pt\pgfsys@invoke\nullfontto0.0pt\pgfsys@beginscope\pgfsys@invoke\pgfsys@beginscope\pgfsys@invoke\pgfsys@setlinewidth1.1381pt\pgfsys@invoke\pgfsys@moveto0.0pt0.0pt\pgfsys@lineto4.26791pt0.0pt\pgfsys@lineto4.26791pt4.26791pt\pgfsys@lineto0.0pt4.26791pt\pgfsys@lineto0.0pt-0.56906pt\pgfsys@stroke\pgfsys@invoke\pgfsys@invoke\lxSVG@closescope\pgfsys@endscope\pgfsys@invoke\lxSVG@closescope\pgfsys@endscope\hss\pgfsys@discardpath\pgfsys@invoke\lxSVG@closescope\pgfsys@endscope\hss\lxSVG@closescope\endpgfpicture(2)/Z\leavevmodeto5.98pt\vboxto5.41pt\pgfpicture\makeatletter\lower-0.56905ptto0.0pt\pgfsys@beginscope\pgfsys@invoke\definecolorpgfstrokecolorrgb0,0,0\pgfsys@color@rgb@stroke000\pgfsys@invoke\pgfsys@color@rgb@fill000\pgfsys@invoke\pgfsys@setlinewidth0.4pt\pgfsys@invoke\nullfontto0.0pt\pgfsys@beginscope\pgfsys@invoke\pgfsys@beginscope\pgfsys@invoke\pgfsys@setlinewidth1.1381pt\pgfsys@invoke\pgfsys@moveto4.83698pt4.26791pt\pgfsys@lineto0.0pt4.26791pt\pgfsys@lineto0.0pt0.0pt\pgfsys@lineto4.83698pt0.0pt\pgfsys@stroke\pgfsys@invoke\pgfsys@invoke\lxSVG@closescope\pgfsys@endscope\pgfsys@invoke\lxSVG@closescope\pgfsys@endscope\hss\pgfsys@discardpath\pgfsys@invoke\lxSVG@closescope\pgfsys@endscope\hss\lxSVG@closescope\endpgfpicture(2))−log(Z\leavevmodeto5.98pt\vboxto5.41pt\pgfpicture\makeatletter\lower-0.56905ptto0.0pt\pgfsys@beginscope\pgfsys@invoke\definecolorpgfstrokecolorrgb0,0,0\pgfsys@color@rgb@stroke000\pgfsys@invoke\pgfsys@color@rgb@fill000\pgfsys@invoke\pgfsys@setlinewidth0.4pt\pgfsys@invoke\nullfontto0.0pt\pgfsys@beginscope\pgfsys@invoke\pgfsys@beginscope\pgfsys@invoke\pgfsys@setlinewidth1.1381pt\pgfsys@invoke\pgfsys@moveto-0.56906pt0.0pt\pgfsys@lineto4.26791pt0.0pt\pgfsys@lineto4.26791pt4.26791pt\pgfsys@lineto-0.56906pt4.26791pt\pgfsys@stroke\pgfsys@invoke\pgfsys@invoke\lxSVG@closescope\pgfsys@endscope\pgfsys@invoke\lxSVG@closescope\pgfsys@endscope\hss\pgfsys@discardpath\pgfsys@invoke\lxSVG@closescope\pgfsys@endscope\hss\lxSVG@closescope\endpgfpicture(2)/Z\leavevmodeto6.54pt\vboxto5.41pt\pgfpicture\makeatletter\lower-0.56905ptto0.0pt\pgfsys@beginscope\pgfsys@invoke\definecolorpgfstrokecolorrgb0,0,0\pgfsys@color@rgb@stroke000\pgfsys@invoke\pgfsys@color@rgb@fill000\pgfsys@invoke\pgfsys@setlinewidth0.4pt\pgfsys@invoke\nullfontto0.0pt\pgfsys@beginscope\pgfsys@invoke\pgfsys@beginscope\pgfsys@invoke\pgfsys@setlinewidth1.1381pt\pgfsys@invoke\pgfsys@moveto-0.56906pt0.0pt\pgfsys@lineto4.83698pt0.0pt\pgfsys@stroke\pgfsys@invoke\pgfsys@invoke\lxSVG@closescope\pgfsys@endscope\pgfsys@beginscope\pgfsys@invoke\pgfsys@setlinewidth1.1381pt\pgfsys@invoke\pgfsys@moveto-0.56906pt4.26791pt\pgfsys@lineto4.83698pt4.26791pt\pgfsys@stroke\pgfsys@invoke\pgfsys@invoke\lxSVG@closescope\pgfsys@endscope\pgfsys@invoke\lxSVG@closescope\pgfsys@endscope\hss\pgfsys@discardpath\pgfsys@invoke\lxSVG@closescope\pgfsys@endscope\hss\lxSVG@closescope\endpgfpicture(2)). To compute these
partition function ratios numerically we have adapted a recently introduced
algorithm D’Emidio (2019) to the current problem. The method
introduces a one parameter family of partition functions ZAB(2)(λ) that interpolates between the two
partition functions (ZA(2) and ZB(2)) appearing in the
ratio. In this extended ensemble the log ratio takes the form of a
λ integral of a simple Monte Carlo estimator sup . We have also tried other techniques to calculate the EE including the
energy integration method Melko et al. (2010) used in
Isakov et al. (2011), however we find the current method to be
better suited to our problem.
At large values of N and in the quantum spin liquid phase at the low
temperatures of interest, it is
difficult to efficiently sample our phase space using only traditional
QMC loop updates. To improve the quality of our entanglement data we have
incorporated annealing and replica exchange
methods sup . With these improvements we are able to
measure γ reliably at moderately low temperatures, after which we
encounter difficulties with equilibration and ergodicity. As we shall see, this allows us to observe the first plateau
at log(2)/2 but not the second plateau at log(2).
Fig. 3 shows the TEE as a function of inverse temperature β
for the SO(N) model with N=8 to N=11 on an L=8 lattice. As T is
lowered, we clearly see a
pronounced signal in the TEE for N≥10 near a plateau at
log(2)/2. For N≤9 on the other hand γ goes to zero in
the low temperature regime, consistent with the study of the
quadruplar order parameter show in Fig. 1. Interestingly, even though for L=8 the difference
region in each ratio contains only 3×2×2 we see
reasonable quantization at the first plateau.
To test how γ scales as the system size L (and
the subsystem size) is scaled up we present the
SO(11) TEE data for L=8,12,16 in Fig. 4. The data shows
clear convergence to log(2)/2 as L is increased. We have also performed
measurements at lower temperatures in an effort to see the second
quantized plateau at log(2) and despite signals that are
consistent with this picture, proper equilibration here remains
challenging and will be saved for future studies.
In conclusion, we have unambiguously identified in sign-free Monte Carlo simulations, a Z2 quantum
spin liquid in a simple model of magnetism on a Kagome lattice. Our work
paves the way to study various interesting questions, including the
theory of phase transitions out of the QSL, the role of isolated
impurities, as well as the effect of large scale disorder in QSLs.
The computational work presented here was carried out using the XSEDE
awards TG-DMR130040 and TG-DMR140061. Financial support was received through NSF DMR-1611161.
I Supplemental material
I.1 Details on entanglement entropy measurements
As described in the main text, we make use of the Levin-Wen construction Levin and Wen (2006) to extract the topological entanglement entropy, which can be written as
[TABLE]
Here SA(2)=−log(TrρA2) is the second Rényi entanglement entropy and the subscript A describes the shape of the region on an L x L lattice that is traced only once. We also assume that the region size is large compared to the lattice spacing and small compared to the total system size. Writing the Rényi entanglement entropy in terms of replica partition functions SA(2)=−log(ZA(2)/Z2) Calabrese and Cardy (2004), the Levin-Wen measurement can be expressed as
[TABLE]
In order to compute ratios such as these we employ the equilibrium version of a nonequilibrium method that was very recently introduced D’Emidio (2019). We have tried many different methods for these calculations, including energy integration as was used in Isakov et al. (2011) and described in Melko et al. (2010), but we find the present method to be more efficient for our model.
In [D’Emidio, 2019] it was shown that the log ratio of partition functions log(ZA(2)/ZB(2)) can be computed by introducing a weighted sum over replica partition functions ZAB(2)(λ) that depends on an external field λ such that ZAB(2)(0)=ZB(2) and ZAB(2)(1)=ZA(2). In other words λ couples to the trace topology of the replica partition functions. If we assume that B is a subset of A, we can write ZAB(2)(λ) explicitly as
[TABLE]
Here C is summed over all all proper subsets of the set A−B, from the empty set \o up to and including A−B itself. Here NA, NB, and NC are the number of sites in the sets A, B, and C respectively. Notice that when λ=0, only C=\o survives and the sum equals ZB(2). Also, when λ=1 only C=A−B survives and the sum equals ZA(2), as intended. The log ratio can then be computed as
[TABLE]
This can be efficiently measured in QMC as the equilibrium average ∂logZAB(2)(λ)/∂λ=λ(1−λ)⟨NC⟩λ−1−λNA−NB, where the average is taken in the ZAB(2)(λ) ensemble at a fixed value of λ.
In Fig. 5 we show the two different types of ZAB(2)(λ) geometries that are used to compute Eq. (8) for an L=8 system. In these pictures black sites are traced once, white sites are traced twice, and grey sites can fluctuate independently between a single and double trace according to the value of λ. When λ=0(1) all of the spins in the grey region are traced twice (once), respectively. The QMC simply measures ⟨NC⟩λ, or the average number of spins in the grey region that are traced once for a fixed value of λ in equilibrium.
In this framework the Levin-Wen measurement takes on a simple and intuitive form, we can write Eq. 8 as
[TABLE]
where Δ⟨NC⟩λ is the difference in the average number of single trace spins in the grey region for the two different Levin-Wen geometries in Fig. 5.
In order to measure γ as a function of temperature, we perform thermal annealing from randomly initialized configurations at high temperature and slowly cool down to low temperature. This is done for 24 different values of λ for both Z\leavevmodeto5.41pt\vboxto5.98pt\pgfpicture\makeatletter\lower-1.1381ptto0.0pt\pgfsys@beginscope\pgfsys@invoke\definecolorpgfstrokecolorrgb0,0,0\pgfsys@color@rgb@stroke000\pgfsys@invoke\pgfsys@color@rgb@fill000\pgfsys@invoke\pgfsys@setlinewidth0.4pt\pgfsys@invoke\nullfontto0.0pt\pgfsys@beginscope\pgfsys@invoke\pgfsys@beginscope\pgfsys@invoke\pgfsys@setlinewidth1.1381pt\pgfsys@invoke\pgfsys@moveto0.0pt0.0pt\pgfsys@lineto4.26791pt0.0pt\pgfsys@lineto4.26791pt4.26791pt\pgfsys@lineto0.0pt4.26791pt\pgfsys@lineto0.0pt-0.56906pt\pgfsys@stroke\pgfsys@invoke\pgfsys@invoke\lxSVG@closescope\pgfsys@endscope\pgfsys@invoke\lxSVG@closescope\pgfsys@endscope\hss\pgfsys@discardpath\pgfsys@invoke\lxSVG@closescope\pgfsys@endscope\hss\lxSVG@closescope\endpgfpicture\leavevmodeto5.98pt\vboxto5.41pt\pgfpicture\makeatletter\lower-0.56905ptto0.0pt\pgfsys@beginscope\pgfsys@invoke\definecolorpgfstrokecolorrgb0,0,0\pgfsys@color@rgb@stroke000\pgfsys@invoke\pgfsys@color@rgb@fill000\pgfsys@invoke\pgfsys@setlinewidth0.4pt\pgfsys@invoke\nullfontto0.0pt\pgfsys@beginscope\pgfsys@invoke\pgfsys@beginscope\pgfsys@invoke\pgfsys@setlinewidth1.1381pt\pgfsys@invoke\pgfsys@moveto4.83698pt4.26791pt\pgfsys@lineto0.0pt4.26791pt\pgfsys@lineto0.0pt0.0pt\pgfsys@lineto4.83698pt0.0pt\pgfsys@stroke\pgfsys@invoke\pgfsys@invoke\lxSVG@closescope\pgfsys@endscope\pgfsys@invoke\lxSVG@closescope\pgfsys@endscope\hss\pgfsys@discardpath\pgfsys@invoke\lxSVG@closescope\pgfsys@endscope\hss\lxSVG@closescope\endpgfpicture(2)(λ) and Z\leavevmodeto5.98pt\vboxto5.41pt\pgfpicture\makeatletter\lower-0.56905ptto0.0pt\pgfsys@beginscope\pgfsys@invoke\definecolorpgfstrokecolorrgb0,0,0\pgfsys@color@rgb@stroke000\pgfsys@invoke\pgfsys@color@rgb@fill000\pgfsys@invoke\pgfsys@setlinewidth0.4pt\pgfsys@invoke\nullfontto0.0pt\pgfsys@beginscope\pgfsys@invoke\pgfsys@beginscope\pgfsys@invoke\pgfsys@setlinewidth1.1381pt\pgfsys@invoke\pgfsys@moveto-0.56906pt0.0pt\pgfsys@lineto4.26791pt0.0pt\pgfsys@lineto4.26791pt4.26791pt\pgfsys@lineto-0.56906pt4.26791pt\pgfsys@stroke\pgfsys@invoke\pgfsys@invoke\lxSVG@closescope\pgfsys@endscope\pgfsys@invoke\lxSVG@closescope\pgfsys@endscope\hss\pgfsys@discardpath\pgfsys@invoke\lxSVG@closescope\pgfsys@endscope\hss\lxSVG@closescope\endpgfpicture\leavevmodeto6.54pt\vboxto5.41pt\pgfpicture\makeatletter\lower-0.56905ptto0.0pt\pgfsys@beginscope\pgfsys@invoke\definecolorpgfstrokecolorrgb0,0,0\pgfsys@color@rgb@stroke000\pgfsys@invoke\pgfsys@color@rgb@fill000\pgfsys@invoke\pgfsys@setlinewidth0.4pt\pgfsys@invoke\nullfontto0.0pt\pgfsys@beginscope\pgfsys@invoke\pgfsys@beginscope\pgfsys@invoke\pgfsys@setlinewidth1.1381pt\pgfsys@invoke\pgfsys@moveto-0.56906pt0.0pt\pgfsys@lineto4.83698pt0.0pt\pgfsys@stroke\pgfsys@invoke\pgfsys@invoke\lxSVG@closescope\pgfsys@endscope\pgfsys@beginscope\pgfsys@invoke\pgfsys@setlinewidth1.1381pt\pgfsys@invoke\pgfsys@moveto-0.56906pt4.26791pt\pgfsys@lineto4.83698pt4.26791pt\pgfsys@stroke\pgfsys@invoke\pgfsys@invoke\lxSVG@closescope\pgfsys@endscope\pgfsys@invoke\lxSVG@closescope\pgfsys@endscope\hss\pgfsys@discardpath\pgfsys@invoke\lxSVG@closescope\pgfsys@endscope\hss\lxSVG@closescope\endpgfpicture(2)(λ). On regular intervals the thermal annealing schedule is paused and measurements of ⟨NC⟩λ are made for each ratio. To improve measurement statistics we employ replica exchange (within each Levin-Wen geometry separately) as a function of λ, where neighboring configurations can swap λ values probabilistically. Since traditional QMC loop updates are extremely inefficient deep in the spin liquid phase, we compute our QMC averages over independent thermal annealing realizations.
I.2 QMC versus exact diagonalization
Here we compare our QMC method against exact results on a 2 x 2 lattice for N=2. We have tried to make the comparison as close as possible to the measurement required to compute the topological entanglement entropy. We have therefore chosen the Levin-Wen geometries as depicted in Fig. 6. These are used to compute Δ⟨NC⟩λ/λ(1−λ) shown in the main plot, where we see perfect agreement between the QMC and ED.
I.3 TEE Equilibration
Our thermal annealing schedule consists of 2000 equilibration sweeps at each value of β on a fine grid of points that are equally spaced on a log scale (a geometric progression with 1400 points between β=0.1 and β=100). The data presented in this work is generated by pausing the thermal annealing schedule at regular intervals to make measurements. At each measured value of β we perform 1000 equilibration sweeps, then 20000 measurement sweeps followed by another 1000 equilibration sweeps and another 20000 measurement sweeps. We can separately average measurements from the first and second segments, where we expect statistical agreement in the case of properly equilibrated configurations. This is shown in Fig. 7, where agreement is found for the L=16 SO(11) system. The data presented in the main text is the average over both measurement segments.
I.4 TEE density
Finally it is interesting to look at the behavior of dγ/dλ=Δ⟨NC⟩λ/2λ(1−λ) that, when integrated from λ=0 to λ=1, gives the Levin-Wen topological entanglement entropy values presented in the main text. This is shown in Fig. 8 for SO(11) L=8,12,16 at the largest values of β presented in the main text. We can see that the largest contribution to γ comes near λ=0.5 and tapers off to zero near the extremes for sufficiently large system sizes where the quantized value log(2)/2 is observed.
Bibliography44
The reference list from the paper itself. Each links out to its DOI / PubMed record.
1Marston and Zeng (1995) J. Marston and C. Zeng, J. Appl. Phys. 69 , 5962 (1995).
2Chalker and Eastmond (1992) J. T. Chalker and J. F. G. Eastmond, Phys. Rev. B 46 , 14201 (1992), URL https://link.aps.org/doi/10.1103/Phys Rev B.46.14201 .
3Singh and Huse (1992) R. R. P. Singh and D. A. Huse, Phys. Rev. Lett. 68 , 1766 (1992), URL https://link.aps.org/doi/10.1103/Phys Rev Lett.68.1766 .
4Leung and Elser (1993) P. W. Leung and V. Elser, Phys. Rev. B 47 , 5459 (1993), URL https://link.aps.org/doi/10.1103/Phys Rev B.47.5459 .
5Lecheminant et al. (1997) P. Lecheminant, B. Bernu, C. Lhuillier, L. Pierre, and P. Sindzingre, Phys. Rev. B 56 , 2521 (1997), URL https://link.aps.org/doi/10.1103/Phys Rev B.56.2521 .
6Ran et al. (2007) Y. Ran, M. Hermele, P. A. Lee, and X.-G. Wen, Phys. Rev. Lett. 98 , 117205 (2007), URL https://link.aps.org/doi/10.1103/Phys Rev Lett.98.117205 .
7Yan et al. (2011) S. Yan, D. A. Huse, and S. R. White, Science 332 , 1173 (2011), ISSN 0036-8075, URL https://science.sciencemag.org/content/332/6034/1173 .
8Iqbal et al. (2013) Y. Iqbal, F. Becca, S. Sorella, and D. Poilblanc, Phys. Rev. B 87 , 060405 (2013), URL https://link.aps.org/doi/10.1103/Phys Rev B.87.060405 .