Universal spin dynamics in infinite-temperature one-dimensional quantum magnets
Maxime Dupont, Joel E. Moore

TL;DR
This paper uncovers universal spin transport regimes in one-dimensional quantum magnets at infinite temperature, revealing superdiffusive, ballistic, and diffusive behaviors across various models using advanced tensor network simulations.
Contribution
It identifies three universal spin transport regimes in quantum spin chains, extending understanding beyond the well-studied $S=1/2$ Heisenberg model, and clarifies their relation to integrability and symmetries.
Findings
Superdiffusive transport with $z=3/2$ in integrable models with extra symmetries.
Ballistic transport with $z=1$ in integrable models with finite Drude weight.
Diffusive transport with $z=2$ in non-integrable or anisotropic models.
Abstract
We address the nature of spin dynamics in various integrable and non-integrable, isotropic and anisotropic quantum spin- chains, beyond the paradigmatic Heisenberg model. In particular, we investigate the algebraic long-time decay of the spin-spin correlation function at infinite temperature, using state-of-the-art simulations based on tensor network methods. We identify three universal regimes for the spin transport, independent of the exact microscopic model: (i) superdiffusive with , as in the Kardar-Parisi-Zhang universality class, when the model is integrable with extra symmetries such as spin isotropy that drive the Drude weight to zero, (ii) ballistic with when the model is integrable with a finite Drude weight, and (iii) diffusive with with easy-axis anisotropy or without integrability, at variance with previous observations.
| Model | System size | Maximum bond dimension considered |
|---|---|---|
| Heisenberg | ||
| Heisenberg | ||
| Heisenberg | ||
| Heisenberg | ||
| Babujian-Takhtajan | ||
| Uimin-Lai-Sutherland | ||
| Zamolodchikov-Fateev , | ||
| Zamolodchikov-Fateev , | ||
| Zamolodchikov-Fateev , | ||
| SO(5)-symmetric , | ||
| SU(5)-symmetric , | ||
| XY | ||
| XY | ||
| Dimerized | ||
| Dimerized | ||
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Universal spin dynamics in infinite-temperature one-dimensional quantum magnets
Maxime Dupont
Joel E. Moore
Department of Physics, University of California, Berkeley, California 94720, USA
Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
Abstract
We address the nature of spin dynamics in various integrable and nonintegrable, isotropic and anisotropic quantum spin- chains, beyond the paradigmatic Heisenberg model. In particular, we investigate the algebraic long-time decay of the spin-spin correlation function at infinite temperature, using state-of-the-art simulations based on tensor network methods. We identify three universal regimes for the spin transport, independent of the exact microscopic model: (i) superdiffusive with , as in the Kardar-Parisi-Zhang universality class, when the model is integrable with extra symmetries such as spin isotropy that drive the Drude weight to zero, (ii) ballistic with when the model is integrable with a finite Drude weight, and (iii) diffusive with with easy-axis anisotropy or without integrability, at variance with previous observations.
Introduction. Understanding equilibrium and out-of-equilibrium dynamics of interacting quantum systems remains one of the most strenuous problems in modern physics. From a phenomenological perspective, taking into account the few conservation laws of a system such as energy, momentum, and particle number, one can derive classical hydrodynamic equations to describe a coarse-grained thermodynamic version of the microscopic model Kadanoff and Martin (1963); Landau and Lifshitz (1987). Yet, some systems possess an extensive set of conservation laws, strongly constraining their dynamics and endowing them with exotic thermalization and transport properties Prosen (2011); Caux and Essler (2013); Wouters et al. (2014); Ilievski et al. (2015); Essler and Fagotti (2016); Ilievski et al. (2016). They are known as integrable systems and are ubiquitous in the low-dimensional quantum world, with experimentally relevant examples from magnets to Bose gases Lieb and Liniger (1963); Giamarchi (2004); Kinoshita et al. (2006); Hild et al. (2014); Langen et al. (2015); Tang et al. (2018).
Two simple paradigms of how a conserved quantity spreads are exemplified by ordinary thermalizing systems with diffusion on the one hand, and free-particle systems (a simple kind of integrable system) with ballistic transport on the other. After many years and much analytical and numerical progress Zotos et al. (1997); Sirker (2006); Sirker et al. (2011); Prosen (2011); Karrasch et al. (2013); Ilievski et al. (2015); Bertini et al. (2016); Bulchandani et al. (2018); De Nardis et al. (2018); Gopalakrishnan et al. (2018); Nardis et al. (2019); Agrawal et al. (2019), the existence of both regimes in the spin-half XXZ model, which is a version of the Heisenberg model with uniaxial anisotropy in the interaction, has been understood in detail, with quantitative explanations of the Drude weight that governs the amount of ballistic transport. Numerical studies on this model provide a stringent test of the generalized hydrodynamical approach to time evolution of densities in ballistic regimes of integrable models Castro-Alvaredo et al. (2016); Bertini et al. (2016); Bulchandani et al. (2018).
Unexpectedly, a numerical study observed a third behavior at the isotropic (Heisenberg) point of this model Žnidarič (2011); Ljubotina et al. (2019): spin dynamics at infinite temperature were characterized by superdiffusion with the same dynamical critical exponent , defined below, that appears in the classical, stochastic Kardar-Parisi-Zhang (KPZ) universality class Kardar et al. (1986). This led to additional studies that explained how the diffusion constant must become infinite at the Heisenberg point Gopalakrishnan and Vasseur (2019) and showed agreement with the full KPZ scaling function Ljubotina et al. (2019); Gopalakrishnan et al. (2019); Krajnik and Prosen (2019); Spohn (2019); Weiner et al. (2020). Note that this emergence of superdiffusion and KPZ universality from quantum models is different from the superdiffusion with that emerges in systems with momentum conservation Narayan and Ramaswamy (2002); Gao and Limmer (2017) or the variable dynamical critical exponent at low temperatures in Luttinger liquids Vir B. Bulchandani (2019). It also does not seem to follow from the useful mapping between a classical exclusion process in the KPZ universality class and statics of the spin-half XXZ model (for a review, see e.g., Ref. Quastel and Spohn, 2015).
The main point of this Rapid Communication is to study infinite-temperature dynamics in a variety of one-dimensional quantum magnets with , with and without integrability and isotropy, in order to isolate the requirements for KPZ superdiffusion. We find several new examples of higher-spin chains that all have dynamical critical exponent , despite having variable symmetries and interactions. These can be viewed as interpolating between the results and recent studies of a classical integrable spin chain Das et al. (2019). We find that the occurrence of superdiffusion with is not limited to the isotropic case, but that it does require integrability; more precisely, we find that superdiffusion is not present in the simplest nearest-neighbor models with , and , contrary to recent proposals De Nardis et al. (2019), and we explain what we believe to be missing in that theoretical analysis.
Investigating spin dynamics. To investigate the spin dynamics in quantum spin- systems, we focus on the infinite-temperature local spin-spin correlation function,
[TABLE]
where is the spin operator component along the quantization axis at position in a system of total length , denotes the infinite temperature thermal average, and is the time-dependent operator in the Heisenberg picture, with the Hamiltonian describing the system. The prefactor in Eq. (1) ensures that .
We consider a wide range of integrable and nonintegrable, isotropic and anisotropic quantum spin- chains described by Hamiltonians of the form with the local Hamiltonian density. All models conserve the total magnetization , and some additionally conserve the total spin , where is the usual spin- operator at site , making them fully isotropic. Because of conservation, in the hydrodynamic limit, the spin fluctuations captured by the spin-spin correlation function (1) are expected to decay with a power-law tail at late time for infinitely large systems,
[TABLE]
with the dynamical exponent characterizing the nature of the spin dynamics and spin transport in the system: for diffusion, for KPZ-type anomalous diffusion or superdiffusion, and for ballistic dynamics.
We compute the spin-spin correlation function (1) numerically using matrix product states (MPS) calculations Schollwöck (2011) together with the purification method Verstraete et al. (2004). The time evolution is performed through the time-evolving block decimation algorithm Vidal (2004) along with a fourth order Trotter decomposition Hatano and Suzuki (2005) of time step . The control parameter of the numerical simulations is the bond dimension of the MPS whose convergence is thoroughly studied in the Supplemental Material sup . In the following, we only show data for the largest bond dimension computationally available, . In practice one only has access to finite systems and is limited in the maximum time . Therefore, it is instructive to perform curve-fitting inside a sliding window of data points in order to reliably extract the infinite-length and infinite-time value of the dynamical exponent sup .
The Heisenberg model.—We first consider the paradigmatic -symmetric Heisenberg model,
[TABLE]
for , , and , and which is integrable exclusively in the spin- case Bethe (1931); Franchini (2017). The correlation function (1) and the extracted dynamical exponent are shown in Fig. 1. Superdiffusive behavior with is unambiguously observed for the case, in agreement with previous results Žnidarič (2011, 2011); Ilievski et al. (2018); Ljubotina et al. (2019); Gopalakrishnan and Vasseur (2019); Gopalakrishnan et al. (2019). is the same dynamical scaling exponent as of the KPZ universality class Kardar et al. (1986), and the relation has been confirmed by showing that the infinite temperature spin-spin correlation function obeys KPZ scaling Ljubotina et al. (2019); Gopalakrishnan et al. (2019). For larger spins , the dynamical exponent value systematically increases when varying the curve-fitting window toward longer times with , supporting diffusive dynamics.
Our result of diffusive dynamics in these nonintegrable cases is perhaps not too surprising, but there is a relatively long crossover before reaching this limit, and the fact that at short time can be misleading. For instance, based on calculations on a low-energy effective quantum field theory for the Heisenberg model (3), namely, the non-linear sigma model Haldane (1983a, b); Affleck and Haldane (1987), the authors of Ref. De Nardis et al., 2019 claim that anomalous spin transport is present in any spin- Heisenberg chain at low temperature, and persists at high temperature as corroborated by simulations on the exact spin- microscopic model. However, their simulations do not go to long enough time to observe the increase of as we do. The superdiffusive dynamics that they obtain is an artifact of the low-energy field theory which is integrable Zamolodchikov and Zamolodchikov (1979, 1992), while the exact microscopic model is not. This long-time crossover to diffusion could possibly have been anticipated based on previous studies on integrability breaking in quantum spin chains, where the integrability breaking is controlled either by adding a parameter or by going to low temperature Sirker et al. (2011); Huang et al. (2013). For example, the charge conductivity is finite with broken integrability but diverges as a powerlaw in inverse temperature or strength of integrability breaking Huang et al. (2013), because of the same kind of long-time crossover observed here. The result of diffusion in the nonintegrable Heisenberg chain is further evidence that integrability breaking should be regarded as a “dangerously irrelevant” perturbation to dynamics at long times Vasseur and Moore (2016): even if the breaking is weak and irrelevant at low energy in the renormalization group sense, it can strongly modify the long-time behavior by inducing thermalization. It is worth noting two other recent works mentioning (super)diffusion in the Heisenberg chain Capponi et al. (2019); Richter et al. (2019), although they could not provide a definitive answer regarding the nature of the spin dynamics.
Even in the classical limit , where spin operators in Eq. (3) are replaced by standard unit vectors, identifying whether spin diffusion is normal or anomalous has a long-standing history Müller (1988); Gerling and Landau (1989); Müller (1988); Liu et al. (1991); de Alcantara Bonfim and Reiter (1992); Böhm et al. (1993); Lovesey and Balcar (1994); Lovesey et al. (1994); Srivastava et al. (1994). The issue was settled by doing a systematic finite-size analysis in Ref. Bagchi, 2013: As in the quantum cases displayed in Fig. 1, is only reached asymptotically at relatively long time. This confirms normal diffusive spreading of spin fluctuations, as expected for a nonintegrable model. Interestingly, the spin dynamics of an integrable classical spin chain with the same symmetries as the Heisenberg model, known as the Faddeev-Takhtajan model Faddeev and Takhtajan (2007); Avan et al. (2010); Prosen and Žunkovič (2013), has recently been explored Das et al. (2019). The authors are able to show that the spin transport is superdiffusive with , and belongs to the KPZ universality class, just like the quantum spin- Heisenberg chain. In addition to the isotropic point, easy-plane and easy-axis regimes of the model are also investigated and respectively exhibit ballistic and diffusive spin transport; again, just like the quantum Heisenberg model. This legitimately raises questions of possible universality regarding the spin dynamics depending on the nature of the anisotropy in the model. To address this, we extend the current study to larger spin- quantum models.
Family of S=1 models. We first turn our attention to various spin- models, starting with the isotropic bilinear-biquadratic Heisenberg chain,
[TABLE]
The two cases considered, with the sign for the biquadratic term, are both integrable. With the minus sign, the model is known as the -invariant Babujian-Takhtajan Hamiltonian Takhtajan (1982); Babujian (1982, 1983). Its dynamical spin-spin correlation function (1) as well as the long-time decay exponent are plotted in Fig. 2 (a, b) and show superdiffusion. Here, anomalous spin dynamics is observed in a quantum magnet besides the spin- Heisenberg chain, and might hint that something universal is responsible for this behavior in integrable systems, such as the rotation symmetry. This is why the Hamiltonian (4) with a plus sign (known as the Uimin-Lai-Sutherland model Uimin (1970); Lai (1974); Sutherland (1975)) is interesting, because it extends the symmetry to , and still demonstrates superdiffusive spin dynamics, see Fig. 2 (c, d). This means that having an integrable -symmetric model is not in itself a necessary ingredient to have anomalous diffusion, as pointed out in Ref. Ilievski et al., 2018. This statement will be extended by looking at an integrable -symmetric spin- chain.
Before that, to investigate the effect of anisotropy, we consider the anisotropic Zamolodchikov-Fateev (ZF) model Zamolodchikov and Fateev (1980),
[TABLE]
where , , and otherwise. This model is analogous to the quantum spin- XXZ chain in the sense that it is parametrized by a continuous anisotropy parameter and that it is integrable Sogo (1984); Kirillov and Reshetikhin (1986); Mezincescu et al. (1990). At the isotropic point , it coincides with the Babujian-Takhtajan Hamiltonian (4) previously studied. In the presence of easy-axis anisotropy, i.e., , we observe diffusive dynamics, as shown in Fig. 2 (e, f) for , while for an easy-plane anisotropy , dynamics is ballistic. In the latter case, ballistic transport is expected as the Mazur bound Mazur (1969); Suzuki (1971); Zotos et al. (1997) computed analytically in Ref. Piroli and Vernier, 2016 establishes a nonvanishing Drude weight for this model.
Overall, the dependence on the spin dynamics (diffusive, ballistic and superdiffusive) on the anisotropy is quite familiar, with identical behavior observed for the spin- quantum Heisenberg chain Žnidarič (2011), the classical Faddeev-Takhtajan model Das et al. (2019), and now the ZF model. However, an interesting feature at is that the ZF model also shows superdiffusion in the “easy-plane limit” , see Fig. 3 (a, b). The possibility that the point in the ZF model is special was previously pointed out Piroli and Vernier (2016) on the grounds that it is not forced to have ballistic transport by the conserved quantities that force nonzero Drude weight at other values .
Integrable SO(5)-symmetric spin-2 chain. To confirm the universal nature of superdiffusion in integrable isotropic magnets, we study a generalization of the bilinear-biquadratic Heisenberg chain (4). It can be written down as a one-parameter family of bilinear-biquadratic Hamiltonians in terms of the generators Tu et al. (2008a, b). Focusing on the case 111In fact, we have already studied the spin dynamics of the most interesting points of the case, which can be expressed as a spin- model. These points correspond to the Babujian–Takhtajan and Uimin-Lai-Sutherland Hamiltonians defined in Eq. (4). and using a spin- formulation of this model Tu et al. (2008a, b); Alet et al. (2011), one gets,
[TABLE]
It has an integrable point at , as well as other remarkable points whose values can be generalized as a function of for all symmetry groups Reshetikhin (1983, 1985); Affleck et al. (1991); Scalapino et al. (1998); Alet et al. (2011). We show in Fig. 3 (c, d) that, once more, anomalous diffusion is present at an integrable and isotropic point which is neither characterized by , nor but in this case.
Summary and discussions. Employing extensive numerical simulations based on tensor network methods, we have investigated the algebraic long-time decay of the infinite temperature spin-spin correlation function in various integrable and nonintegrable, isotropic and anisotropic quantum spin- chains sup . Our results unequivocally support universal spin dynamics in infinite-temperature one-dimensional magnets, with three different possible regimes: (i) superdiffusive, as in the KPZ universality class, when the model is integrable with extra symmetries such as spin isotropy that drive the Drude weight to zero, (ii) ballistic when the model is integrable with a finite Drude weight, and (iii) diffusive otherwise.
One potential future direction is to demonstrate that the full KPZ Kardar et al. (1986) scaling function is indeed present for all models showing anomalous diffusion, i.e., with some parameter Prähofer and Spohn (2004); Spohn (2014). As it is very costly to compute the dynamical spin-spin correlation function at all distances , it would be numerically preferable to use the workaround developed in Ref. Ljubotina et al., 2019 for to address this question. An open puzzling question is what ingredient(s) makes the superdiffusive behavior with robust in all isotropic integrable magnets, classical and arbitrary spin- quantum models alike? It would also be interesting to see if the mechanism of anomalous diffusion proposed in Ref. Gopalakrishnan and Vasseur, 2019 for the spin-half Heisenberg chain can be extended to all these superdiffusive examples.
Acknowledgements.
Acknowledgments. M.D. is grateful to S. Capponi, M. Schmitt, and J. Wurtz for interesting discussions at the early stage of this work. We also acknowledge discussions with Z. Lenarčič, V. Bulchandani, S. Gopalakrishnan, C. Karrasch, and J. De Nardis. This work was funded by the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences, Materials Sciences and Engineering Division under Contract No. DE-AC02-05-CH11231 through the Scientific Discovery through Advanced Computing (SciDAC) program (KC23DAC Topological and Correlated Matter via Tensor Networks and Quantum Monte Carlo). J.E.M. acknowledges support from a Simons Investigatorship. This research used the Lawrencium computational cluster resource provided by the IT Division at the Lawrence Berkeley National Laboratory (supported by the Director, Office of Science, Office of Basic Energy Sciences, of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231). This research also used resources of the National Energy Research Scientific Computing Center (NERSC), a U.S. Department of Energy Office of Science User Facility operated under Contract No. DE-AC02-05CH11231. The code for calculations is based on the ITensor library 222ITensor library, http://itensor.org..
Robustness of the fitting procedure
To evaluate the robustness of the fitting procedure and reliably extract the dynamical exponent , we try different size for the fitting window: , and . Each window contains data points because of the Trotter time step considered to perform the time evolution. The largest system size and largest bond dimension of each model of the main text is considered in Fig. 1. We see that the fitting procedure is stable with no deviation for versus the size of the fitting window. The extracted dynamical exponents in the main text correspond to a time window of size .
Convergence with the bond dimension
For each model considered in the main text, we show in Fig. 2 that for the largest system size (see Tab. 1) good convergence versus the bond dimension is achieved for the extracted dynamical exponent . Respectively in the (b) middle and (c) bottom rows of Fig. 2, we display versus time for three values of the bond dimension and versus the inverse bond dimension for three values of the time (short, intermediate and long).
First excluding the , and Heisenberg models, we observe in Fig. 2 a systematic convergence of in the limit and to either , or , depending on the case. In particular, the dynamical exponent takes one of these three values and not something in between, random or out of control. Plus, our results are consistent with one another depending on the properties of the models (e.g., integrable, non-integrable, isotropic). Based on this, one can then argue that for the , and Heisenberg models, the numerics should also be reliable (convergence is indeed observed as ). Computationally, we are not able to reach long enough times to observe convergence as . This means that there is a relatively long crossover before reaching the asymptotic long-time limit, which is going to be diffusive since it looks like as . As discussed in the main text, such a relatively long crossover also exists for the classical Heisenberg model. Although smaller (hence we are able to resolve it), a crossover is also visible for the non-integrable ZF model at in Fig. 2 (vii-b) as well as for the non-integrable and XY models of Fig. 3 (1-2).
In fact, it is very interesting that a moderate bond dimension seems sufficient to accurately capture the correct algebraic behavior at long time at infinite temperature. It is unclear why entanglement (the amount of entanglement that can be encoded is controlled by the bond dimension , and which is therefore bounded by ) has little to do with it, but this surely opens perspectives for future studies (see also Ref. Leviatan et al., 2017). We also want to mention that other works, see e.g., Refs. Ljubotina et al., 2017, Ljubotina et al., 2019 and Varma and Žnidarič, 2019, successfully addressing similar questions, use a finite bond dimension that is way smaller than one would naively require for the system sizes and times considered.
Finite-size effects
When studying long-time dynamics on a finite system, the system size has to be large compared to the causality light cone to avoid any finite size effect. In order to take this into account, the data for the smaller system sizes are shown until the time at which a significant deviation from the larger system size is visible, while we typically consider otherwise.
For instance, if one considers Fig. 1 (d, f, h) of the main text, there is a perfect collapse of data onto the data, which also collapse nicely onto the data. This collapse survives for later and later times as the system size is increased. The deviation that can be observed at “long time” for the small system sizes is a causality light cone effect as this is only observed at longer times for larger system sizes. Within the light cone, there is no systematic deviation from small to large system sizes for the exponent.
On Fig. 2 (b) of the main text, there is at all time a systematic deviation of the data from to , with no overlap for the value of the exponent (even within a time window within the causality light cone). But as one considers larger and larger system sizes , the exponent goes toward , converging to its thermodynamic value.
Additional models
In addition to the ten models considered in the main text, we consider four extra models in this supplemental material, strengthening our conclusions. First, we look at the XY and models, which are non-integrable and described by the local Hamiltonian density,
[TABLE]
Then, we study the integrable Uimin-Lai-Sutherland model through a spin- representation. Its Hamiltonian is the same as Eq. (6) of the main text for the value of the parameter . The infinite-temperature local spin-spin correlation function is computed similarly to all other models, and the data are displayed in Fig. 3. As expected, we get superdiffusive spin dynamics for the integrable model. It is diffusive for the other cases, and there exists a finite crossover time before reaching the asymptotic long-time limit. The dynamical exponent at short time [Fig. 3 (1-a) and (2-a)] takes a value before reaching at long time, despite the integrable low-energy effective theory describing the Hamiltonian (1). No trace of ballistic behavior is observed in the dynamical exponent , while this is what one would expect if the low-energy theory played a role in the long-time dynamics at infinite-temperature. This is an interesting observation in regards of the isotropic and non-integrable Heisenberg model with studied in the main text (which also has an integrable low-energy effective theory). Indeed, it displayed a short-time exponent , which could be misleading to distinct diffusive from superdiffusive dynamics. Additional analyses to reliably extract the dynamical exponent are available in Fig. 4.
The last model considered is the non-integrable isotropic dimerized chain described by the local Hamiltonian density,
[TABLE]
with controlling the strength of the dimerization between even and odd bonds. Its ground state belongs to the Haldane phase for and to a dimerized phase for larger values Kitazawa and Nomura (1997). The infinite-temperature local spin-spin correlation function is displayed in Fig. 5 for and , with diffusive behavior expected at long time. As for the Heisenberg chain considered in the main text (), there seems to be relatively long crossover before reaching the asymptotic diffusive dynamics. However, as one increases the value of , this crossover time is reduced, as shown in Fig. 5 (3). Since both the Haldane and dimerized phases can be described by the non-linear sigma model in the low-energy limit, this confirms one more that the (integrable) low-energy effective field theory plays no role in the dynamics in the long time limit at infinite temperature. Additional analyses to reliably extract the dynamical exponent are available in Fig. 6.
Summary of the parameters
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1Kadanoff and Martin (1963) Leo P Kadanoff and Paul C Martin, “Hydrodynamic equations and correlation functions,” Ann. Phys. 24 , 419 – 469 (1963) . · doi ↗
- 2Landau and Lifshitz (1987) L. D. Landau and E. M. Lifshitz, Fluid Mechanics , 2nd ed. (Butterworth Heinemann, 1987).
- 3Prosen (2011) Tomaž Prosen, “Open x x z 𝑥 𝑥 𝑧 xxz spin chain: Nonequilibrium steady state and a strict bound on ballistic transport,” Phys. Rev. Lett. 106 , 217206 (2011) . · doi ↗
- 4Caux and Essler (2013) Jean-Sébastien Caux and Fabian H. L. Essler, “Time evolution of local observables after quenching to an integrable model,” Phys. Rev. Lett. 110 , 257203 (2013) . · doi ↗
- 5Wouters et al. (2014) B. Wouters, J. De Nardis, M. Brockmann, D. Fioretto, M. Rigol, and J.-S. Caux, “Quenching the anisotropic heisenberg chain: Exact solution and generalized gibbs ensemble predictions,” Phys. Rev. Lett. 113 , 117202 (2014) . · doi ↗
- 6Ilievski et al. (2015) E. Ilievski, J. De Nardis, B. Wouters, J.-S. Caux, F. H. L. Essler, and T. Prosen, “Complete generalized gibbs ensembles in an interacting theory,” Phys. Rev. Lett. 115 , 157201 (2015) . · doi ↗
- 7Essler and Fagotti (2016) Fabian H L Essler and Maurizio Fagotti, “Quench dynamics and relaxation in isolated integrable quantum spin chains,” J. Stat. Mech.: Theory Exp. 2016 , 064002 (2016) . · doi ↗
- 8Ilievski et al. (2016) Enej Ilievski, Marko Medenjak, Tomaž Prosen, and Lenart Zadnik, “Quasilocal charges in integrable lattice systems,” J. Stat. Mech.: Theory Exp. 2016 , 064008 (2016) . · doi ↗
