Thermodynamics of a spin-1/2 XYZ Heisenberg chain with a Dzyaloshinskii-Moriya interaction

Thermodynamics of a spin-1/2 XYZ Heisenberg chain with a Dzyaloshinskii-Moriya interaction

Bin Xi These two authors contributed equally to this work.    Shijie Hu These two authors contributed equally to this work.    Qiang Luo    Jize Zhao jizezhao@gmail.com    Xiaoqun Wang xiaoqunwang@ruc.edu.cn College of Physics Science and Technology, Yangzhou University, Yangzhou 225002, China Department of Physics and Beijing Laboratory of Opto-electronic Functional Materials Micro-nano Devices, Renmin University of China, Beijing 100872, China Department of Physics and Research Center Optimas, Technical University Kaiserslautern, 67663 Kaiserslautern, Germany Institute of Applied Physics and Computational Mathematics, Beijing 100088, China Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai 200240, China China and Collaborative Innovation Center for Advanced Microstructures, Nanjing 210093, China
July 4, 2019
Abstract

We study the thermodynamics of a spin-1/2 XYZ Heisenberg chain with a Dzyaloshinskii-Moriya interaction. This model describes the low-energy behaviors of a one-dimensional two-component bosonic model with a synthetic spin-orbit coupling in the deep insulating region. In the limit , where is the strength of the onsite intracomponent repulsion and is the intercomponent one, we solve our model exactly by Jordan-Wigner transformation, and thus provide a benchmark for our following numerical approach. In other cases, we calculate the entropy and the specific heat numerically by the transfer-matrix renormalization group method. Their low-temperature behaviors depend crucially on the properties of the zero-temperature phases. A refined ground-state phase diagram is then deduced from their low-temperature behaviors. Our findings offer an alternative way to detect those distinguishable phases experimentally.

pacs:
67.85.-d, 05.30.Jp, 64.70.Tg, 71.70.Ej, 64.70.qd, 75.10.Pq

I Introduction

One-dimensional (1D) quantum magnetism remains an active research area in condensed matter physics because of their intriguing properties arising from strong quantum fluctuationsGiamarchi (). In this area, the 1D spin- antiferromagnetic (AF) Heisenberg chain is a prototypical model, the ground state of which is a Tomonaga-Luttinger liquid (TLL) Haldane80 (). It has gapless elementary excitations and is relevant to a variety of quasi-1D magnetic materialsMotoyama96 (); Hirakawa70 (); Kono15 (). However, its properties may change significantly in the presence of anisotropyBAXTER1 (); ERCOLESSI1 (); CAO1 ().

In addition to abundant quasi-1D materials, ultracold atomic systems in optical lattices have already become an important platform to simulate quantum spin systems. Spin-spin interaction using controlled collisions was first proposedJaksch99 () theoretically in 1999 and later successfully realized in experiments with Rb atomsCollins03 (). In these experiments, the two hyperfine states and of Rb atoms are treated as up and down spinsCollins03 (), respectively. This two-component boson mixture soon attracted a great deal of interest. Duan and coworkers suggested that the Hamiltonian of this two-component system can be mapped into a spin-1/2 XXZ Heisenberg modelDuan03 (). Its ground state is ferromagnetic (FM) when the intercomponent repulsion is much larger than the intracomponent one , while it is AF when . These studies have provided us valuable information to understand some long-standing problems in condensed matter physics. After these pioneering works, more complicated spin models have been proposed in the context of optical lattices. For example, it was demonstrated that XYZ Heisenberg models can be implemented with p-orbit bosonsPINHEIRO1 () in one dimension, and with Rydberg atoms in two dimensionsGLAETZLE1 (); BIJNEN1 ().

Recently, a synthetic spin-orbit coupling (SOC), or equivalently, gauge field, was successfully realized in experiments and a variety of phases as well as phase transitions were observedLin11 (); Wang12 (); Cheuk12 (); Zhang12 (). These experiments have spurred great interest in studying the artificial SOC as well as gauge field in ultracold systemsRadic12 (); Cai12 (); Cole12 (); Gong15 (); Zhou13 (); Fu14 (); Zhao14A (); Zhao14B (); Piraud14 (); Xu14 (); Peotta14 (); Hamner15 (); Zhao15 (); Syzranov14 (); Orignac16 (); Wu16 (). In the deep insulating region, such an SOC can be approximated Cole12 (); Zhao14B () by the Dzyaloshinskii-Moriya (DM) interactionDzyaloshinsky58 (); Moriya60 (). In many magnetic materials, DM interaction plays a key role in understanding a variety of exotic magnetic features, e.g. spiral magnetismKimura07 (); Radic12 (); Cole12 (); Cai12 (), skyrmionMhlbauer09 (); Yu10 (); Heinze11 (); Nagaosa13 (); Fert13 (). Therefore, it is expectable that rich magnetic structure can be experimentally observed in ultracold atomic systems with the SOC.

The SOC realized in 2011 has equal weight of Rashba and Dresselhaus termsLin11 (). Thus it is along one direction in real space. Loaded into 1D optical latticeHamner15 (), the low-energy dynamics of such spin-orbit-coupled bosons can be modeled by the HamiltonianZhao14A ()

(1)

where is the hopping term between the nearest-neighbor sites with the hopping integral . is the SOC. The strength of the SOC can be controlled by the laser frequency. () is the creation (annihilation) operator of bosons at site with spin . takes and , representing two internal states of atoms. is on-site intracomponent repulsion and is the intercomponent one. is the boson number operator with spin at site . is the chemical potential to control the filling factor. At unit filling and in strong coupling limit , this model can be effectively written as a spin- XYZ Heisenberg chain with a DM interaction (see Ref. Zhao14B () for more details). By setting , , it reads:

(2)

where are the pseudo-spin operators with Pauli matrix and .

The Hamiltonian (2), or equivalently Hamiltonian (1) at unit filling in the strong coupling limit, has been studied by several groups using density-matrix renormalization group (DMRG) method in combination with some analytic methodsZhao14A (); Zhao14B (); Piraud14 (); Xu14 (); Peotta14 (). For , the DM interaction can be eliminated by a site-dependent rotation of the spin operators, resulting in an isotropic Heisenberg chain with FM couplingCai12 (). In this sense, the SOC becomes trivial in such a case. However, when , the DM interaction cannot be simply eliminatedZhao14A () and several phases have been predicted. For , there are a gapped FM phase, a gapped AF phase, and in between a TLL phase with a chiral orderZhao14B (); Piraud14 (); Xu14 ()(without ambiguity, we will call it TLL phase below). The transition from the FM (AF) phase to the TLL phase is of first orderPiraud14 (); Peotta14 (). For , a gapless paramagnetic phase and a gapful FM phase are foundZhao14A (); Piraud14 (); Xu14 (). The transition between these two phases is of Berezinskii-Kosterlitz-Thouless(BKT)KBT () type. However, due to the limit of numerical accuracy and finite-size effect, the critical point has not been determined accurately so far.

The abovementioned studies are all limited to zero temperature. The properties of the Hamiltonian (2) at finite temperature remain unknown yet. In particular, when approaching zero temperature, what are the asymptotic behaviors of some typical quantities such as the entropy and the specific heat? Understanding these questions is remarkably important for determining the phase diagram experimentally. On the other hand, Hamiltonian (2) is quite general although it originates from the context of ultracold systems. We believe that it is qualitatively related to some quasi-1D materials, such as Copper benzoateDENDER1 (), CsCoClKenzelmann1 (), 2(dimethylsulfoxide) (CDC) Kenzelmann04 (); Chen07 (), copper pyrimidine Feyerherm00 (); Zvyagin04 (); Zvyagin05 () and Kohgi01 ().

In this work, we study the thermodynamics of the Hamiltonian (2) with the transfer-matrix renormalization group (TMRG) method Wang97 (). TMRG is a powerful numerical method for studying the thermodynamics of 1D quantum systems. It treats infinitely large systems directly, and thus there is no finite-size effect. We refer the reader to references Bursill96 (); Wang97 (); Wang00 (); Xiang98 () for more details. During the TMRG iterations, states are kept in most cases. The truncation error is less than in all calculations. Particularly, we use an additional reorthogonalisation procedure after the left and right eigenvectors of the reduced density matrix are obtained. This allows us to keep more states and thus improve accuracy Honecker11 (). In Hamiltonian (2), the particle fluctuation is completely suppressed. Therefore, if we focus only on the magnetism in spin-orbit-coupled bosonic systems, Hamiltonian (2) is a more appropriate model for numerical simulations than Hamiltonian (1). For simplicity, we set as the energy unit. One can immediately see that Hamiltonian (2) has a period of in by performing the transformation , and . Moreover, one can interchange and in Hamiltonian (1)Zhao14A (); Zhao15 (), so we only need to consider the parameter region since the properties in the region are readily available. It is straightforward to verify this in Hamiltonian (2) by using the fact .

The paper is organized as follows: in Section II, we begin our study in the exactly solvable limit . In Section III, we consider the region . The phase transition points are obtained through the isentropic map. In the low-temperature limit, the asymptotic behaviors of the specific heat and the entropy in different phases are compared. In Section IV, we focus on the region . We determine the critical point from the entropy. In Section IV, we give our conclusions.

Figure 1: (color online). Exact solutions (lines) and TMRG results (symbols) of the specific heat are plotted as a function of temperature for a variety of . Inset shows asymptotic behavior of the specific heat at low temperature for two different cases: 1) () which is in the TLL phase, the specific heat is proportional to and 2) () which is the transition point from the TLL phase to the gapped FM phase, the specific heat behaves as .

Ii Exactly Solvable Case

In the limit , Hamiltonian (2) is reduced to

(3)

One can immediately see that at the Hamiltonian (3) is just an Ising model with a FM ground state, while at it is equivalent to an isotropic XY model, which has a TLL ground state. For general , the Hamiltonian (3) can be transformed into a Kitaev chain by the Jordan-Wigner transformationDERZHKO (), which is exactly solvable, leading to with the energy dispersion and ( ) the creation (annihilation) operator of fermions with the momentum (see Appendix A for more details). One can notice that the system undergoes a quantum phase transition from a gapped phase into a gapless one at . The thermodynamic properties of the Hamiltonian (3) can then be exactly calculated from the partition function in a standard way. For example, the specific heat can be expressed as

(4)

with the inverse temperature . can be evaluated after a numerical integration. The results are shown in Fig. 1 together with our TMRG results. One can see that our TMRG results agree perfectly with the exact ones, verifying the precision of the TMRG data.

The low-temperature behavior of the specific heat reveals distinguishable features for different values of . At , the system is just a classical Ising chain and . One can easily obtain , which can be approximate to under low- limit. For , though the ground state is also an Ising-type FM phase, the low-temperature behavior is different. Here the low-energy excitations are the gapful magnons, whose dispersion can be approximately written as

(5)

where and is the energy gap between the ground state and the first excitation at . The dependence of the magnon dispersion results in for Xiang98 (). These two different exponential behaviors are shown in Fig. 1 with and . At , a phase transition takes place between the gapful FM phase and the TLL. At this point, the gap is closed, and the dispersion is proportional to . Therefore, one has the density of states . It turns out that the free energy F reads

(6)

which leads to a -dependence of the specific heat as shown in the inset of Fig.1. In the TLL phase corresponding to , one has effectively a Fermi momentum , which shifts from towards with increasing further from the transition point. As a consequence, the specific heat exhibits a bump at low temperature and becomes linear in the very low regime. An example is given for in Fig.1. The bump reflects the contribution from the excitations with the dispersion deviating from the linearity and suggests a crossover from an ideal TLL with linear excitations and others with -dependent excitations. The bump shifts to higher temperature as the increases and is eventually absorbed by the peak of the specific heat at . In the TLL phase, the dispersion of the low-energy excitations is proportional to the momentum, which results in a -dependence of free energy at very low temperature so that one has with the spin-wave velocitySirker12 (). In our model, . Therefore the specific heat has the following low-temperature behavior,

(7)

The inset of Fig. 1 illustrates this behavior for as compared with TMRG results.

Iii

After benchmarking our TMRG method, we now turn to our main task, the thermodynamics in the anisotropic interacting case, i.e., is finite but . Under this condition, the Hamiltonian in general is not exactly solvable, and thus we resort to the TMRG method to study it. In this section, we focus on .

iii.1 Entropy

The location of the transition point at zero temperature can be determined through the isentropic map. It is known that, at the same temperature, the entropy has a maximum at the transition point. As a result, all the isentropic curves should bend to the transition point. As shown in Fig. 2, one can easily figure out that at the transition point locates at , which agrees well with previous results obtained by DMRGZhao14B (). Meanwhile, we notice that the isentropic map shows a clear cooling process similar to magnetocaloric effect (MCE) in magnetic materialsGschneidner12 (). Staring from and decreasing , one can design an isothermal process of entropy decreasing (black arrow). Then following an isentropic curve with increasing (red arrow), it is allowed to decrease the temperature gradually to . Here the strength of SOC is used instead of magnetic field in usual MCE. The entropy is transfered from gapless states to gapped states in the isothermal process, then followed by a gap closing in the isentropic process. As a contrast, common MCE in magnetic materials contains an isothermal suppression of the entropy from disordered phases to FM ordered phases, then followed by an adiabatic demagnetization Gschneidner12 (). In ultracold systems, a common way for lowering the temperature of the quantum gas is transferring the entropy from the ground band to higher bands and removedBark11 (). The possibility and efficiency of using the MCE-like process as an alternative technology for refrigeration in cold atom systems need further experimental investigations.

Figure 2: (color online). Isentropic map of at . The color represents the value of . The transition point can be directly obtained through the tips () of isentropic curves. Dashed line connecting these tips is a guide to the eye. A cooling process from to similar to MCE is shown. The black arrow is an isothermal line with entropy decreasing, and the red arrow is an isentropic line with gap closing, illustrating a MCE-like process.

iii.2 Specific heat

In Fig. 3, we plot the specific heat as a function of temperature for a variety of at , which is qualitatively similar to the results in the exactly solvable limit. However, at , the system is now a gapped XXZ model, and the specific heat at low temperature is . At the transition point , our numerical data show that it deviates from the square-root behavior, which suggests that the dispersion of the low-energy excitations is not well approximated by for a finite . For , , which is a characteristic feature of TLL.

Figure 3: (color online). Specific heat as a function of temperature obtained by TMRG for a variety of at . Inset: asymptotic behaviors of the specific heat at low temperature for and 0.25.

The transition points can be determined from the finite-temperature scaling of the specific heat as wellVojta03 (); Sachdev11 (). In Fig. 4, we present a contour plot of the specific heat with and . For a fixed , one can obtain two maxima and one minimum . At these extrema, the corresponding and should follow a scaling behaviorVojta03 (); Sachdev11 ():

with the transition point and the critical exponent. The fitting dashed lines in Fig. 4 show rather good linear behaviors, indicating . Furthermore, the transition point is fitted as , which agrees well with that we obtain from the entropy.

Figure 4: (color online). Contour plot of specific heat . Symbols are the extreme points for the given temperature and dashed lines are fitting curves. The color represents the value of the specfic heat at given , .

Fisher and Berker have established the scaling description of classical first-order phase transitionsFisher82 (). Subsequent works show its validity in the quantum onesKirkpatrick15B (); Kirkpatrick15L (). We notice the scaling relation has also been found at the first-order transition point separating the FM phase and the TLL phase in a 1D spin- XXZ chainSuzuki15 (). Since the symmetry of these two model is quite different, this resemblance deserves further theoretical analysis.

Iv

As shown in the ground-state phase diagram in previous worksZhao14A (); Piraud14 (); Xu14 (), there are two phases in this case, a paramagnetic phase and a FM one. The former is gapless while the latter is gapful. The transition between these two phases are of BKT typeKBT (). In the BKT transition, it is a big challenge to figure out the critical point accurately. To determine the phase boundary, the entanglement entropy of the ground state of the Hamiltonian (1) was calculatedZhao14A (); Xu14 () by DMRG. Based on their analysis, the transition seems to occur at a finite for a finite . Another DMRG calculation based on the effective model (2) gives a relatively large error bar for the critical points Piraud14 (). In this section, we will study the thermodynamic properties of Hamiltonian (2), from which we can provide solid numerical evidence that the transitions from the paramagnetic phase to the FM phase occur at .

iv.1 Entropy

In this subsection, we will discuss the entropy. For simplicity, we limit our discussion to . In Fig. 5, we plot the isentropic map. In contrast to the case , we do not find any singular point on the isentropic curves at finite .

Figure 5: (color online). Isentropic map of at . The color represents the value of the entropy at given , .

Moreover, we observe that the entropy on the left is larger than that on the right at low temperature. This can be understood from the known results that the FM phase is gapful while the paramagnetic phase is gapless. As the temperature increases, the isentropic curve becomes flatter. This is because at high temperature the thermal fluctuation dominates over the quantum fluctuation.

Figure 6: (color online). Extrapolation of where the entropy is maximal at a given temperature to determine the critical value.

To extract the critical point between such gapped and gapless phases, we first determine the position where the entropy is maximal for a fixed temperature, and then extrapolate them to zero temperature. In Fig. 6, we plot as a function of the temperature . The curve can be well fitted by a linear function , with the parameter . Thus, we conclude that within our error bar the critical point locates at . In Appendix B, we perform a DMRG calculation, which confirms our conclusion further.

iv.2 Specific Heat

In Fig. 7(a), we plot the specific heat as a function of temperature for a variety of at , which is much different from the results of . At low temperature, decreases exponentially (linearly) in the gapped (gapless) phases. From the exponential behavior, one can see that the energy gap increases as grows. Furthermore, it is interesting to find that all the specific heat curves intersect approximately at one point . Such a crossing point is called isosbestic point, which has been theoretically analyzed with curves of Hubbard modelsVollhardt97 (). This unique feature has been widely observed in many experiments, such as: specific heat of normal-fluid He Greywall83 () and heavy-fermion systemsBrodale86 (); Adams12 (), dielectric constant and optical conductivity in High- superconductor zhe14 () and photoemission spectra of thin filmsOkazaki04 (). Following the argument given by VollhardtVollhardt13 (), we can expand as:

where

is a function of only. The validity of this expansion can be verified by

As shown in Fig. 7(b), all specific heat curves for different collapse well into a single curve at high temperature. We have confirmed that such isosbestic point can be observed for in our model.

Figure 7: (color online). (a) Specific heat as a function of temperature for a variety of at . An isosbestic point is indicated by dashed line, and the corresponding temperature is marked as . (b) Scaled specific heat collapses into one line at high temperature.

V Conclusions

In conclusion, we study the thermodynamic properties of a spin-1/2 XYZ Heisenberg chain with a DM interaction by using the TMRG method. This model approximates a two-component bosonic system with a synthetic SOC in deep insulating region. At low temperature, the asymptotic behaviors of the specific heat and the entropy are in close association with the properties of the ground states. We can thus figure out the phase boundary of the ground-state phase diagram through the isentropic map. For , the transition from the gapless TLL phase to the gapped FM(AF) phase occurs at a finite . A MCE-like process is proposed and the scaling behavior near the transition point is discussed. On the other hand, for , we find no sigularity in the isentropic map at finite . After a careful extrapolation, we determine that the transition between the paramagnetic phase and the FM phase occurs at (or equivalently ). We confirm this conclusion by DMRG calculations. Based on our results, a refined ground-state phase diagram is given in Fig. 8.

Figure 8: (color online). Ground-state phase diagram of Hamiltonian (2) in the vs plane. The reflection symmetry of the phase diagram with respect to is the direct consequence of the transformationZhao14A () for interchanging and . The two exact transition points at and in the limit are indicated by blue dashed lines. For , the red circles are the transition points between zFM (zAF) phase and TLL phase, and the solid red lines are guide to eyes. At , it is a spiral phase. For , the transition between the paramagnetic phase and the yFM phase occurs at and , as marked by maroon squares. The lowercase letters y and z represent the polarization directions.

Vi Acknowledgements

We thank Wei Li for helpful discussion. This work was supported by the National Natural Science Foundation of China (Grants No. 11474029, 11574200), by National Program on Key Research Project 2016YFA0300500 (X.Q.Wang), by the Special Program for Applied Research on Super Computation of the NSFC-GD Joint Fund, and by the SFB Transregio 49 of the Deutsche Forschungsgemeinschaft (DFG) and the Allianz für Hochleistungsrechnen Rheinland-Pfalz (AHRP).

Appendix A Exact solution in the limit

The effective Hamiltonian (2) in the limit can be reduced to

(8)

with and . The exact solutionDERZHKO () of (8) is obtained by the Jordan-Wigner transformation.

The Hamiltonian is invariant under the rotation

(9)

and accordingly, (8) turns into

(10)

Using the definition

(11)

the Hamiltonian (10) finally becomes

(12)

with , . After Fourier transformation

(13)

we obtain the Hamiltonian in the momentum space

(14)

with , . The diagonalization is finished up by the Bogoliubov transformation:

(15)

where and are real coefficients, which fulfill the following relations

(16)

The transformed Hamiltonian would only contain terms proportional to when

(17)

In combination with (16), we then have

(18)

Finally we end up with

(19)

with .

Appendix B Determining the critical points by DMRG

To confirm our conclusion that the critical point locates at for , we repeat the same calculations by Zhao et.al. Zhao14A () but for Hamiltonian (2). The freedom at each site now is two, much smaller than that in the Hamiltonian (1), thus allowing us to obtain more accurate numerical data as well as larger sizes. In our DMRG calculations, we impose open boundary conditions. 500 1200 states are kept to ensure the truncation errors are smaller than . Moreover, we perform sweeps to improve the accuracy and to ensure the convergence of the ground-state energy per site to seven digits.

Figure 9: (color online). Entanglement entropy as a function of for various system sizes are shown. , where shows up its maximum, are then extracted. Inset: finite-size extrapolation of to determine the critical point .

The critical point then is determinedAmico08 (); Ejima12 (); Pino12 () through the entanglement entropy , with via the reduced density matrix of a half chain. In Fig. 9, we first plot the entanglement entropy versus obtained with various chain lengths, = 32, 64, 128, 256, 512, 1024 and 2048. Then, we determine , where is maximal, for the given length. These are extrapolated to the thermodynamic limit with respect to and deduce the critical point . In the inset, we show such an extrapolation for with a variety of chain lengths, which can be fitted by a power-law function , with the best fitting parameters , and . Therefore, we conclude that within our error bar . One can see that obtained by our two different methods are well consistent.

References

  • (1) T. Giamarchi, Quantum Physics in One Dimension Oxford University Press, Oxford, England, 2004.
  • (2) F. D. M. Haldane, Phys. Rev. Lett. 45, 1358 (1980); F. D. M. Haldane, J. Phys. C 14, 2585 (1981).
  • (3) N. Motoyama, H. Eisaki, and S. Uchida, Phys. Rev. Lett. 76, 3212 (1996).
  • (4) K. Hirakawa and Y. Kurogi, Prog. Theor. Phys. Suppl. 46, 147 (1970).
  • (5) Y. Kono, T. Sakakibara, C. P. Aoyama, C. Hotta, M. M. Turnbull, C. P. Landee, and Y. Takano, Phys. Rev. Lett. 114, 037202 (2015).
  • (6) R. J. Baxter, Phys. Rev. Lett. 26, 832 (1971).
  • (7) E. Ercolessi, S. Evangelisti, F. Franchini, and F. Ravanini, Phys. Rev. B 83, 012402 (2011).
  • (8) J. Cao, S. Cui, W. Yang, K. Shi, Y. Wang, Nuclear Physics B 886, 185 (2014).
  • (9) D. Jaksch, H.-J. Briegel, J. I. Cirac, C. W. Gardiner, and P. Zoller, Phys. Rev. Lett. 82, 1975 (1999).
  • (10) N. C. Collins, et al, Nature 425, 973 (2003).
  • (11) L. M. Duan, E. Demler, and M. D. Lukin, Phys. Rev. Lett. 91, 090402 (2003).
  • (12) F. Pinheiro, G. M. Bruun, J. P. Martikainen, and J. Larson, Phys. Rev. Lett. 111, 205302 (2013).
  • (13) A. W. Glaetzle, M. Dalmonte, R. Nath, C. Gross, I. Bloch, and P. Zoller, Phys. Rev. Lett. 114, 173002 (2015).
  • (14) R. M. W. van Bijnen and T. Pohl, Phys. Rev. Lett. 114, 243002 (2015).
  • (15) Y. J. Lin, K. Jimenez-Garcia, and I. B. Spielman, Nature 471, 83 (2011).
  • (16) P. J. Wang, Z. Q. Yu, Z. K. Fu, J. Miao, L. H. Huang, S. J. Chai, H. Zhai, and J. Zhang, Phys. Rev. Lett. 109, 095301 (2012).
  • (17) L. W. Cheuk, A. T. Sommer, Z. Hadzibabic, T. Yefsah, W. S. Bakr, and M. W. Zwierlein, Phys. Rev. Lett. 109, 095302 (2012).
  • (18) J.Y. Zhang, S. C. Ji, Z. Chen, L. Zhang, Z. D. Du, B. Yan, G. S. Pan, B. Zhao, Y. J. Deng, H. Zhai, S. Chen, and J. W. Pan, Phys. Rev. Lett. 109, 115301 (2012).
  • (19) J. Radic, A. Di Ciolo, K. Sun, and V. Galitski, Phys. Rev. Lett. 109, 085303 (2012)
  • (20) Z. Cai, X. F. Zhou, and C. J. Wu, Phys. Rev. A 85, 061605 (2012).
  • (21) W. S. Cole, S. Z. Zhang, A. Paramekanti, and N. Trivedi, Phys. Rev. Lett. 109, 085302 (2012).
  • (22) M. Gong, Y. Qian, M. Yan, V. W. Scarola, C. Zhang, Sci. Rep. 5, 10050 (2015).
  • (23) X. Zhou, Y. Li, Z. Cai, and C. Wu, J. Phys. B 46, 134001 (2013).
  • (24) Z. Fu, L. Huang, Z. Meng, P. Wang, L. Zhang, S. Zhang, H. Zhai, P. Zhang, J. Zhang, Nature Phys. 10, 110 (2014).
  • (25) J. Zhao, S. Hu, J. Chang, P. Zhang, and X. Q. Wang, Phys. Rev. A 89, 043611 (2014).
  • (26) J. Z. Zhao, S. J. Hu, J. Chang, F. Zheng, P. Zhang, and X. Q. Wang, Phys. Rev. B 90, 085117 (2014).
  • (27) M. Piraud, Z. Cai, I. P. McCulloch, and U. Schollwöck, Phys. Rev. A 89, 063618 (2014).
  • (28) Z. Xu, W. S. Cole, and S. Zhang, Phys. Rev. A 89, 051604(R) (2014).
  • (29) S. Peotta, L. Mazza, E. Vicari, M. Polini, R. Fazio, and D. Rossini, J. Stat. Mech. (2014) P09005.
  • (30) C. Hamner, Y. Zhang, M. A. Khamehchi, M. J. Davis, and P. Engels, Phys. Rev. Lett. 114, 070401 (2015).
  • (31) J. Zhao, S. Hu, and P. Zhang, Phys. Rev. Lett. 115, 195302 (2015).
  • (32) E. Orignac, R. Citro, M. Di Dio, S. De Palo, M.-L. Chiofalo, New J. Phys. 18, 055017 (2016).
  • (33) S. V. Syzranov, M. L. Wall, V. Gurarie, and A. M. Rey, Nat. Commun. 5, 5391 (2014); M. L. Wall, K. Maeda, and L. D. Carr, New J. Phys. 17, 025001 (2015).
  • (34) L.-N. Wu, X.-Y. Luo, Z.-F. Xu, M. Ueda, R. Wang, L. You, arXiv:1607.07005.
  • (35) I. Dzyaloshinsky, J. Phys. and Chem. Sol. 4, 241(1958).
  • (36) T. Moriya, Phys. Rev. 120, 91(1960).
  • (37) T. Kimura, Annu. Rev. Mater. Res. 37, 387 (2007).
  • (38) S. Mhlbauer, B. Binz, F. Jonietz, C. Pfleiderer, A. Rosch, A. Neubauer, R. Georgii, and P. Bni, Science 323, 915 (2009).
  • (39) X. Z. Yu et. al. Nature 465, 901 (2010).
  • (40) S. Heinze et. al. Nature Phys. 7, 713 (2011).
  • (41) N. Nagaosa and Y. Tokura, Nat. Nanotech. 8, 899 (2013).
  • (42) A. Fert, V. Cros, and J. Sampaio, Nat. Nanotech. 8, 152 (2013).
  • (43) V. L. Berezinskii, Sov. Phys. JETP 32, 493 (1971); J. M. Kosterlitz and D. J. Thouless, J. Phys. C: Solid State Phys. 6, 1181 (1973).
  • (44) D.C. Dender, P.R. Hammar, D.H. Reich, C. Broholm, and G. Aeppli, Phys. Rev. Lett. 79, 1750 (1997).
  • (45) M. Kenzelmann, R. Coldea, D. A. Tennant, D. Visser, M. Hofmann, P. Smeibidl and Z. Tylczynski, Phys. Rev. B 65, 144432 (2002).
  • (46) M. Kenzelmann, Y. Chen, C. Broholm, D. H. Reich, and Y. Qiu, Phys. Rev. Lett. 93, 017204 (2004).
  • (47) Y. Chen, M. B. Stone, M. Kenzelmann, C. D. Batista, D. H. Reich, and C. Broholm, Phys. Rev. B 75, 214409 (2007).
  • (48) R. Feyerherm, S. Abens, D. Günther, T. Ishida, M. Meissner, M. Meschke, T. Nogami, and M. Steiner, J. Phys.: Condens. Matter 12, 8495 (2000).
  • (49) S. A. Zvyagin, A. K. Kolezhuk, J. Krzystek, and R. Feyerherm, Phys. Rev. Lett. 93, 027201 (2004).
  • (50) S. A. Zvyagin, A. K. Kolezhuk, J. Krzystek, and R. Feyerherm, Phys. Rev. Lett. 95, 017207 (2005).
  • (51) M. Kohgi, K. Iwasa, J. M. Mignot, B. Fak, P. Gegenwart, M. Lang, A. Ochiai, H. Aoki, and T. Suzuki, Phys. Rev. Lett. 86, 2439 (2001).
  • (52) X. Q. Wang and T. Xiang, Phys. Rev. B 56 5061 (1997).
  • (53) R. J. Bursill, T. Xiang, and G. A. Gehring, J. Phys.: Condens. Matter 8, L583 (1996).
  • (54) X. Q. Wang and L. Yu, Phys. Rev. Lett. 84, 5399 (2000).
  • (55) T. Xiang, Phys. Rev. B 58, 9142 (1998).
  • (56) A. Honecker, S. Hu, R. Peters, and J. Richter, J. Phys.: Condens. Matter 23, 164211 (2011).
  • (57) J. Jedrzejewski, Condensed Matter Physics in the Prime of the 21 Century, Phenomena, Materials, Ideas and Methods. World Scientific, Singapore, 2008.
  • (58) J. Sirker, Int. J. Mod. Phys. B 26, 1244009 (2012).
  • (59) K. A. Gschneidner, V. K. Pecharsky and A. O. Tsokol, Rep. Prog. Phys. 68, 1479–1539 (2005).
  • (60) W. S. Bakr, P. M. Preiss, M. E. Tai, R. Ma, J. Simon, and M. Greiner, Nature 480, 500–503 (2011).
  • (61) M. Vojta, Rep. Prog. Phys., 66, 2069 (2003).
  • (62) S. Sachdev and B. Keimer, Physics Today, 64, 29 (2011).
  • (63) M. E. Fisher and A. N. Berker, Phys. Rev. B 26, 2507 (1982).
  • (64) T. R. Kirkpatrick and D. Belitz, Phys. Rev. B 91, 214407 (2015).
  • (65) T. R. Kirkpatrick and D. Belitz, Phys. Rev. Lett. 115, 020402 (2015).
  • (66) S. Suzuki and A. Dutta, Phys. Rev. B 92, 064419 (2015).
  • (67) D. Vollhardt, Phys. Rev. Lett. 78, 1307 (1997); N. Chandra, M. Kollar, and D. Vollhardt, Phys. Rev. B 59, 10541 (1999).
  • (68) D. S. Greywall, Phys. Rev. B 27, 2747 (1983).
  • (69) G. E. Brodale, R. A. Fisher, N. E. Phillips, and J. Flouquet, Phys. Rev. Lett. 56, 390 (1986).
  • (70) T. Adams, A. Chacon, M. Wagner, A. Bauer, G. Brandl, B. Pedersen, H. Berger, P. Lemmens, and C. Pfleiderer, Phys. Rev. Lett. 108, 237204 (2012).
  • (71) Z. Wang, M. Schmidt, J. Fischer, V. Tsurkan, M. Greger, D. Vollhardt, A. Loidl and J. Deisenhofer, Nat. Commun. 5, 3202 (2014).
  • (72) K. Okazaki, H. Wadati, A. Fujimori, M. Onoda, Y. Muraoka, and Z. Hiroi, Phys. Rev. B 69, 165104 (2004).
  • (73) M. Greger, M. Kollar, and D. Vollhardt, Phys. Rev. B 87, 195140 (2013).
  • (74) L. Amico, R. Fazio, A. Osterloh, and V. Vedral, Rev. Mod. Phys. 80, 517 (2008).
  • (75) S. Ejima, H. Fehske, F. Gebhard, K. zu Mnster, M. Knap, E. Arrigoni, and W. von der Linden, Phys. Rev. A 85, 053644 (2012).
  • (76) M. Pino, J. Prior, A. M. Somoza, D. Jaksch, and S. R. Clark, Phys. Rev. A 86, 023631 (2012).
Comments 0
Request Comment
You are adding the first comment!
How to quickly get a good reply:
  • Give credit where it’s due by listing out the positive aspects of a paper before getting into which changes should be made.
  • Be specific in your critique, and provide supporting evidence with appropriate references to substantiate general statements.
  • Your comment should inspire ideas to flow and help the author improves the paper.

The better we are at sharing our knowledge with each other, the faster we move forward.
""
The feedback must be of minimum 40 characters and the title a minimum of 5 characters
   
Add comment
Cancel
Loading ...
24949
This is a comment super asjknd jkasnjk adsnkj
Upvote
Downvote
""
The feedback must be of minumum 40 characters
The feedback must be of minumum 40 characters
Submit
Cancel

You are asking your first question!
How to quickly get a good answer:
  • Keep your question short and to the point
  • Check for grammar or spelling errors.
  • Phrase it like a question
Test
Test description