Multicritical behavior of the fidelity susceptibility for the 2D quantum transverse-field $XY$ model
Yoshihiro Nishiyama (Okayama University)

TL;DR
This paper investigates the multicritical behavior of the fidelity susceptibility in the 2D quantum XY model with a transverse field, revealing crossover scaling near the multicritical point through finite-size analysis.
Contribution
It provides a detailed finite-size scaling analysis of fidelity susceptibility at the multicritical point, applying crossover scaling theory to the 2D quantum XY model.
Findings
Fidelity susceptibility follows crossover scaling near the multicritical point.
Finite-size scaling analysis confirms the universality class of the phase transition.
Results align with previous studies on multicritical behavior in quantum spin models.
Abstract
The two-dimensional quantum model with a transverse magnetic field was investigated with the exact diagonalization method. Upon turning on the magnetic field and the -plane anisotropy , there appear a variety of phase boundaries, which meet at the multicritical point . We devote ourselves to the Ising-universality branch, placing an emphasis on the multicritical behavior. As a probe to detect the underlying phase transitions, we adopt the fidelity susceptibility . The fidelity susceptibility does not rely on any presumptions as to the order parameter involved. We made a finite-size-scaling analysis of for (Ising limit), where a number of preceding results are available. Thereby, similar analyses with scaled were carried out around the multicritical point. We found that the data are described by the crossover…
| method | quantifier | range undertaken | |
|---|---|---|---|
| ED Henkel84 | energy gap | ||
| DMRG Jongh98 | energy gap | ||
| ED Yu09 | fidelity susceptibility | ||
| ED Montakhab10 | multipartite entanglement | ||
| TPS Huang10 | entanglement measures | ||
| QMC Albuquerque10 | fidelity susceptibility | ||
| TN Orrs16 | bipartite entanglement per bond | ||
| ED (this work) | fidelity susceptibility |
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11institutetext: Department of Physics, Faculty of Science, Okayama University, Okayama 700-8530, Japan
Multicritical behavior of the fidelity susceptibility
for the 2D quantum transverse-field model
Yoshihiro Nishiyama
(Received: date / Accepted: date)
Abstract
The two-dimensional quantum model with a transverse magnetic field was investigated with the exact diagonalization method. Upon turning on the magnetic field and the -plane anisotropy , there appear a variety of phase boundaries, which meet at the multicritical point . We devote ourselves to the Ising-universality branch, placing an emphasis on the multicritical behavior. As a probe to detect the underlying phase transitions, we adopt the fidelity susceptibility . The fidelity susceptibility does not rely on any presumptions as to the order parameter involved. We made a finite-size-scaling analysis of for (Ising limit), where a number of preceding results are available. Thereby, similar analyses with scaled were carried out around the multicritical point. We found that the data are described by the crossover scaling theory. A comparison with the preceding studies of the multicriticality is made.
1 Introduction
For the quantum mechanical systems, the fidelity is defined by the overlap
[TABLE]
between the ground states with the proximate interaction parameters, and ; here, the symbol denotes the ground-state vector for the Hamiltonian with the interaction parameter . The idea of fidelity was developed in the course of the study of the quantum dynamics Uhlmann76 ; Jozsa94 ; Peres84 ; Gorin06 . Meanwhile, it turned out that the fidelity is sensitive to the quantum phase transitions. Actually, the fidelity susceptibility
[TABLE]
with the system size exhibits a notable peak around the phase transition point Quan06 ; Zanardi06 ; Zhou08 ; You11 ; Rossini18 ; see Refs. Vieira10 ; Gu10 for a review. In fact, the fidelity susceptibility displays a pronounced peak as compared to that of the specific heat Albuquerque10 . As would be apparent from the definition (2), the fidelity susceptibility is readily tractable with the exact diagonalization method. It has to be mentioned that the fidelity susceptibility is accessible via the quantum Monte Carlo method Albuquerque10 ; Schwandt09 ; Grandi11 ; Wang15 and the experimental observation Zhang08 ; Kolodrubetz13 ; Gu14 as well.
In this paper, we investigate the two-dimensional quantum model with a transverse magnetic field. Upon turning on the magnetic field and the -plane anisotropy , there appear a variety of phase boundaries, which merge at the multicritical point . We devote ourselves to the Ising-universality branch, aiming to reveal how the Ising-universality branch ends up at the -symmetric multicritical point. As a probe to detect the phase transitions, we adopt the fidelity susceptibility. The fidelity susceptibility is sensitive to both Ising- and -symmetric phase transitions, because it does not rely on any presumptions as to the order parameter involved. As a matter of fact, the similar approaches, namely, the fidelity-susceptibility-mediated analyses Luo18 of the multicriticality Mukherjee11 , have been made for the one-dimensional counterpart; see Refs. Maziero10 ; Sun14 ; Karpat14 for the information-theoretical approaches as well. In the present paper, stimulated by these recent developments, we apply the fidelity-susceptibility-mediated scheme to the case of two dimensions. Note that the one-dimensional model is exactly solvable Katsura62 ; Barouch70 ; Suzuki71 , and the concerned singularities have been investigated in depth. On the contrary, such sophisticated techniques are not available in two dimensions, and the detail still remains an open issue.
To be specific, we present the Hamiltonian for the two-dimensional quantum model with a transverse magnetic filed Henkel84
[TABLE]
Here, the quantum spin- operator is placed at each square-lattice point, (). The summation, , runs over all possible nearest-neighbor pairs, ; here, the periodic boundary condition is imposed. The coupling denotes the nearest-neighbor ferromagnetic interaction, and it is regarded as the unit of energy throughout this study; namely, we set hereafter. The parameter denotes the -plane anisotropy, which interpolates the Ising () and () symmetric cases smoothly. The magnetic field induces the phase transition between the ordered () and disordered () phases for respective . This phase boundary belongs to the Ising universality class Henkel84 . A schematic phase diagram Henkel84 for the model (3) is presented in Fig. 1. Within the semicircle (dashed), the correlation function gets modulated spatially, and along the line (thick), the -ordered phase is realized eventually. Note that the nature of this -ordered phase differs significantly from that of the one-dimensional counterpart Luo18 ; Mukherjee11 ; Maziero10 ; Sun14 ; Karpat14 . because the latter corresponds to the case of the lower critical dimension (Tomonaga-Luttinger liquid), and the order develops only marginally. Noticeably enough, the phase boundaries in Fig. 1 meet at the multicritical point ; actually, a topological-index is specified Jalal16 to each regime surrounding the multicritical point. Thereby, there arises a problem how the Ising-universality branch ends up at this -symmetric point; see Fig. 2. The exact diagonalization simulation Henkel84 for the cluster indicates a “monotonous” Wald15 dependence of on . On the contrary, the spin-anisotropic-spherical-model analysis Wald15 revealed a reentrant behavior around the multicritical point, claiming that the simulation data Henkel84 are “too few and too far apart from a final conclusion” Wald15 . The aim of this paper is to explore the multicriticality with the crossover scaling analysis of the fidelity susceptibility for the cluster with spins so as to estimate the crossover critical exponent quantitatively.
Upon applying a magnetic field within the -symmetric sector , the magnetization saturates at the multicritical point, where a severe slowing down Kashurnikov99 affects the efficiency of the quantum Monte Carlo simulations. This point is characterized by an enhancement of the dynamical critical exponent Zapf14 , for which an asymmetry between the real-space and imaginary-time subspaces emerges. Hence, special care has to be taken with the ratio between the real-space and imaginary-time system sizes, and , respectively, to carry out the scaling analysis properly. Because the exact diagonalization method admits us to access the ground state () directly, it is free from such complications as to the size of . Hence, we are able to concentrate only on the -dependent behaviors as in the ordinary finite-size-scaling analyses.
We recollect a number of related studies Albuquerque10 ; Henkel84 ; Jongh98 ; Yu09 ; Montakhab10 ; Huang10 ; Orrs16 for the two-dimensional quantum (Ising) model (3) in Table 1. As indicated, in order to detect the Ising-universality phase transitions, there have been proposed various quantifiers such as energy gap, fidelity susceptibility, and a number of variants of entanglement measures Amico08 ; Horodecki09 . As shown in the list, sophisticated quantifiers other than the energy gap play a significant role in recent studies. Correspondingly, a variety of simulation techniques, such as exact diagonalization (ED), density matrix renormalization group (DMRG), tensor product state (TPS), quantum Monte Carlo (QMC), and tensor network (TN) methods, have been employed. As presented, the exact diagonalization method is applicable to various types of quantifiers. So far, a limiting case (Ising limit) has come under thorough investigation specifically, and the phase transition point at this case is shown for each study. As mentioned above, the overall features for generic have not been investigated very extensively.
The rest of this paper is organized as follows. In the next section, we present the numerical results. The finite-size-scaling analysis is shown for , where preceeding results are available. Then, similar analyses with scaled are made with the crossover scaling theory. In Sec. 3, we address the summary and discussions.
2 Numerical results
In this section, we present the numerical results for the two-dimensional quantum model with a transverse magnetic field, Eq. (3). We employed the exact diagonalization method for the cluster with spins. We dwell on the Ising-universality branch, placing an emphasis on its multicriticality at .
As mentioned in Introduction, the multicriticality for the one-dimensional counterpart was studied with the fidelity susceptibility Mukherjee11 . In this work Mukherjee11 , the authors took a direct route toward the multicritical point, setting the parameters like . In this direct approach, the fidelity susceptibility peak splits into a series of sub-peaks, reflecting the intermittent level crossings Henkel84 along the sector (). In this paper, in order to avoid such a peak splitting, we take a different approach to the multicritical point. We sweep the magnetic field with fixed to a certain constant value, and consider the multicritical singularity as a limiting case of the ordinary Ising universality class. To this end, we first consider the case , where a good deal of preceeding results are available.
2.1
Scaling behavior for the fidelity susceptibility at the Ising limit
In this section, we make a finite-size-scaling analysis of the fidelity susceptibility for the fixed (Ising limit); this scheme sets a basis for the subsequent crossover scaling analyses in Sec. 2.3.
To begin with, we recollect a number of formulas relevant to the present survey. According to Ref. Albuquerque10 , the fidelity susceptibility diverges as at the critical point , as the system size enlarges. Here, the symbols, and , denote the critical exponents for the correlation length and fidelity susceptibility, respectively; namely, the former (latter) diverges as () in the vicinity of the critical point for sufficiently large .
In Fig. 3, we present the approximate critical exponent
[TABLE]
as a function of with the fixed and various system sizes ; what is meant by the expression, , in the abscissa scale is that the approximate critical exponent, (4), is calculated for a pair of system sizes, and , and the arithmetic mean, , is taken as a representative value. Here, the approximate critical point denotes ’s peak position
[TABLE]
for each . The least-squares fit to the data in Fig. 3 yields an estimate in the thermodynamic limit . As a reference, we carried out the similar analysis for a pair of data points, and , and arrived at an extrapolated value . Regarding the deviation from the above estimate as a possible systematic error, we estimate the critical exponent as . Putting this estimate into the scaling relation Albuquerque10
[TABLE]
we arrive at the correlation-length critical exponent
[TABLE]
Afterward, we make a comparison with the related studies.
We turn to the analysis of the critical point . The approximate critical point converges to the thermodynamic limit as . (This relation is anticipated from the above-mentioned formula through the dimensional analysis.) In Fig. 4, we present the approximate critical point as a function of with [Eq. (7)], , and various system sizes . The least-squares fit to these data yields an estimate in the thermodynamic limit . As a reference, we carried out the similar analysis for a pair of data points, and , and arrived at an extrapolated value . Regarding the deviation from the above estimate as a possible systematic error, we estimate the critical point as
[TABLE]
This is a good position to address an overview of the related studies for . By means of the fidelity-susceptibility-mediated analyses with the exact diagonalization method for Yu09 and the quantum Monte Carlo simulation for Albuquerque10 , the estimates, and , respectively, were obtained. Our results, Eqs. (7) and (8), are comparable with these pioneering studies. By means of the exact diagonalization method for with respect to the energy gap Henkel84 and multipartite entanglement Montakhab10 , there have been reported the results, and , respectively. The former estimates were obtained by taking the weighted mean values for the simulation results performed at under the periodic- and anti-periodic-boundary conditions independently. We stress that the present approach attains to admitting rather unbiased estimates with moderate computational effort. Similarly, via the density-matrix-renormalization-group Jongh98 , tensor-product-state Huang10 , and tensor-network Orrs16 methods, the estimates, , , and , respectively, were obtained. Again, it is suggested that the fidelity-susceptibility-mediated scheme, albeit with the tractable system sizes restricted, yields unbiased estimates for the criticality.
2.2
Scaling plot for the fidelity susceptibility at the Ising limit
In this section, we present the scaling plot for the fidelity susceptibility, based on the finite-size-scaling formula Albuquerque10
[TABLE]
with the scaling dimension and a certain (non-universal) scaling function .
In Fig. 5, we present the scaling plot, -, for and various system sizes, ; the symbol for each is explained in the figure caption. Here, the scaling parameters, [Eq. (8)], [Eq. (7)], and [Eq. (6)], were determined in Sec. 2.1. The data in Fig. 5 seem to collapse into a scaling curve satisfactorily, validating the consistency of the analyses in Sec. 2.1. In the next section, with varied, the data are recast into an extended scaling formula, namely, the crossover scaling theory, so as to investigate the multicriticality at .
Last, we address a number of remarks. First, as presented in Fig. 5, the fidelity susceptibility exhibits a notable peak around the critical point. Actually, the scaling dimension of the fidelity susceptibility is larger than that of the specific heat because of the relation between them. (This relation is derived from the hyper-scaling relation together with Eq. (6).) The fidelity susceptibility has an advantage in that its enhanced singularity would dominate the regular (non-singular) part. Last, the fidelity susceptibility does not rely on any ad hoc assumptions for the order parameter involved. Such a feature is significant in the present study, because the crossover between the Ising- and -symmetric cases is our concern, Rather intriguingly, at the -symmetric point, the fidelity susceptibility exhibits even more pronounced peak (larger scaling dimension), as explained below.
2.3
Crossover scaling analyses for the fidelity susceptibility with scaled
In this section, we carry out the crossover scaling analyses for the fidelity susceptibility around . Because in this case, an extra parameter , which is supposed to converge to (), exists, the above-mentioned scaling formula (9) has to be extended. According to the crossover scaling theory Riedel69 ; Pfeuty74 , the extended formula should read
[TABLE]
with the crossover exponent and a certain (non-universal) scaling function ; the crossover exponent Riedel69 ; Pfeuty74 describes how the Ising universality for turns into the end-point singularity at . As in Eq. (9), the indices, and Zapf14 ; Adamski15 ; Hoeger85 , describe the singularities for the fidelity susceptibility and correlation length, respectively, right at the multicritical point . The former index is given by the scaling relation Albuquerque10 substituted with Zapf14 ; Adamski15 ; Hoeger85 , dynamical critical exponent Zapf14 , and specific-heat critical exponent ; here, this index is read off from the first derivative of the magnetization Zapf14 regarded as the internal energy.
As presented in Fig. 2, the crossover exponent determines the shape of the phase boundary in the vicinity of the multicritical point. Note that both arguments of the scaling function in Eq. (10) should be dimensionless. Hence, the scaling dimensions for and are identical, admitting the relation Riedel69 ; Pfeuty74 . Therefore, the crossover scaling analysis has implications for the power-law singularity of the phase boundary.
We turn to the crossover-scaling analysis of the fidelity susceptibility, based on the above-mentioned formulas. In Fig. 6, we present the crossover scaling plot, -, for various system sizes, ; the symbol for each is explained in the figure caption. Here, the second argument of the scaling function (10) is fixed to a constant value with , and the critical point was determined through the same scheme as that of Sec. 2.1 by using the index Hasenbusch10 . The crossover-scaled data in Fig. 6 seem to collapse into a scaling curve satisfactorily. Actually, the data for () and () almost overlap each other, entering at the crossover-scaling regime. Such a feature strongly supports the proposition .
Similar analyses were made for various values of . In Fig. 7, we present the crossover scaling plot, -, for the system sizes, , with the fixed under postulating . The crossover-scaled data get scattered, as compared to those of Fig. 6; particularly, the right-side slope displays notable dispersion of the data, whereas the left hand side shows an alignment. Additionally, in Fig. 8, we present the crossover scaling plot, -, for various system sizes, , with fixed under setting . For such a small , on the contrary, the left-side-slope data around become dissolved, whereas the right hand side shows a tolerable overlap. Hence, we conclude that the crossover critical exponent locates within
[TABLE]
This result indicates that the phase boundary increases, at least, monotonically with the anisotropy .
A number of remarks are in order. First, the fidelity susceptibility exhibits a notable peak around the multicritical point. As noted above, the scaling dimension at the multicritical point is even larger than that of the Ising-universality transition . Hence, the underlying mechanism behind the crossover scaling plot, Fig. 6, differs from that of the Ising-universality transition, Fig. 5. In this sense, the overlap of the scaling plot, Fig. 6, is by no means coincidental, and rather it requires the exponent to be finely adjusted. Last, the fidelity susceptibility is applicable to both Ising- and -symmetric cases. Actually, according to Ref. Rossini18 , the fidelity susceptibility detects the first-order phase transitions, and the (putative) critical exponents make sense. Our study owes the initial settings for the multicritical indices, and , to this recent development Rossini18 .
3 Summary and discussions
The two-dimensional quantum model with a transverse magnetic field (3) was investigated numerically. We dwell on the Ising-universality branch, placing an emphasis on the multicriticality at , where a slowing down Kashurnikov99 affects the efficiency of the quantum Monte Carlo simulations. By means of the exact diagonalization method, we calculated the fidelity susceptibility in order to detect the phase transitions. With fixed (Ising limit), the finite-size-scaling analysis of the fidelity susceptibility was made, and the results are in agreement with those of the preceding studies. Thereby, with scaled, the crossover scaling analysis was made, and it turned out that the data are cast into the crossover scaling formula (10) rather satisfactorily. As a consequence, we estimate the crossover exponent as . The preceeding exact diagonalization analysis Henkel84 indicates a “monotonous” Wald15 dependence of on . Supporting this claim, our result strongly suggests a linear increase of with .
In regard to the reentrant scenario Wald15 advocated for the spin-anisotropic spherical model, it would be intriguing to investigate the systems with the extended internal symmetries such as the spin- chain Hofstetter96 , and the two-band Hubbard model Franco18 . Actually, the latter exhibits a curved phase boundary (see Fig. 10 of Ref. Franco18 ) reminiscent of the reentrant scenario. This problem will be left for the future study.
Author contribution statement
Y.N. conceived the presented idea, and carried out the numerical simulations. He analyzed the simulation results, and wrote up the manuscript.
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