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. 2022 Dec 28;25(1):59. doi: 10.3390/e25010059

Relaxation Exponents of OTOCs and Overlap with Local Hamiltonians

Vinitha Balachandran 1,*, Dario Poletti 1,2,3,4,5,*
Editor: Marko Robnik
PMCID: PMC9858258  PMID: 36673199

Abstract

OTOC has been used to characterize the information scrambling in quantum systems. Recent studies have shown that local conserved quantities play a crucial role in governing the relaxation dynamics of OTOC in non-integrable systems. In particular, the slow scrambling of OTOC is seen for observables that have an overlap with local conserved quantities. However, an observable may not overlap with the Hamiltonian but instead with the Hamiltonian elevated to an exponent larger than one. Here, we show that higher exponents correspond to faster relaxation, although still algebraic, and such exponents can increase indefinitely. Our analytical results are supported by numerical experiments.

Keywords: OTOC, information scrambling, relaxation dynamics

1. Introduction

For generic many-body quantum systems, information initially encoded in a few local degrees of freedom can spread in time over the entire accessible space. This process is called information scrambling and can be characterized by out-of-time ordered correlators (OTOCs) [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21]. For quantum systems with a classical limit, OTOCs can be mapped to Lyapunov exponents [22,23,24,25,26,27,28,29,30,31,32,33]. Because of this, OTOCs have been applied to understand the thermalization in many-body quantum systems [3,4,5,6,7,8,9,10,11,12,13].

Recent studies have pointed out the relevance of local conserved quantities in the relaxation dynamics of OTOCs [34,35,36,37,38,39,40]. In particular, in [39] it was shown that the emergence of algebraic relaxation can stem from the locality of the Hamiltonian, i.e., the ensuing presence of a Lieb–Robinson bound [41], and the eigestate thermalization hypothesis (ETH) [42,43]. Importantly, with the approach developed in [39] it was also possible to show that the algebraic relaxation of the OTOC is typical.

In the scenarios considered until now, the operators in the OTOC had non-zero overlap with the Hamiltonian or a local conserved quantity (i.e., total magnetization). Here, we investigate how the relaxation dynamics would be affected if the operators in the OTOC, e.g., A, do not overlap with the Hamiltonian H but only with one of its powers, i.e., tr(AH)=0, but tr(AHm)0 for m, being an integer larger than one. We show that depending on the exponent m at which the overlap becomes non-zero, we expect an algebraic relaxation of the OTOC in time with an exponent proportional to m. To obtain this result, we also show the relation between the first non-zero derivative of the diagonals of an operator in the energy basis, with the exponent m at which tr(AHm)0.

The paper is organized as follows. In Section 2, we introduce the definition of OTOCs and explain the relaxation dynamics of OTOCs from the knowledge of the matrix elements of the observables in the eigenenergy basis. In Section 3, we show analytically our main result, i.e., that any different exponents can emerge in the relaxation of the OTOC, depending on the order at which the operators in the OTOC overlap with the Hamiltonian. Our numerical results are presented in Section 4. We draw our conclusions in Section 5.

2. Emergence of Slow Scrambling

2.1. Definition

Consider the infinite-temperature out-of-time-ordered correlator (OTOC) between two local observables A and B defined as

OAB(t)=12[A(t),B][A(t),B] (1)

where A(t)=UAU is the time evolved operator A due to the unitary evolution U=Tei0tH(τ)dτ from the time-ordered integration of the (generically) time-dependent Hamiltonian H(t). Expanding the commutators, we can rewrite Equation (1) as

12[A(t),B][A(t),B]=B2A(t)2A(t)BA(t)B=GAB(t)FAB(t), (2)

where GAB(t)=B2A(t)2 is the time-ordered part of OTOC and FAB(t)=A(t)BA(t)B is the not-time-ordered part. We consider only unitary and Hermitian observables for which G(t)=1, and hence we restrict ourselves to F(t) in the remaining part. Taking energy eigenstates as the basis of the Hilbert space, the time evolution of OTOC can be written in the eigenenergy basis |p as

FAB(t)=1Vp,q,k,lei(EpEq+EkEl)tApqBqkAklBlp (3)

where Ep is the eigenenergy, Apq=p|A|q, and Bqk=q|B|k. We work in units for which =1.

As t, dominant terms in the above expression are those for which EpEq+EkEl=0. Hence, for generic systems [44,45], the infinite-time value of FAB(t) is given by

FAB()=1V(pApp2Bpp2+p,qp(AppBpqAqqBqp+ApqBqqAqpBpp)). (4)

Equation (4) highlights the importance of diagonal elements of A and B in the eigenenergy basis in the infinite-time value of OTOC. Indeed, a non-zero diagonal element in A or B is necessary to guarantee a non-zero value of FAB().

2.2. Conditions for Algebraic Relaxation of OTOC

Two sufficient conditions for the emergence of algebraic relaxation of OTOC [39,40] are

  • A Lieb–Robinson bound (or even an algebraic spreading of correlation that occurs in systems with power-law interactions),

  • The algebraic scaling of the infinite-time value of the OTOC with the system size.

In local and bounded Hamiltonians, the speed of propagation of the correlations is limited by Lieb–Robinson bound [41,46]. Hence, an accurate description of the evolution of OTOC of a thermodynamically large system can be obtained simply considering a finite portion of it. Assuming that the system is maximally scrambled within the region of size L, the decay of FL=AB(t) is bounded by the Lieb–Robinson velocity vLR as

FL=AB(t)FL=svLRtAB(), (5)

where s is a real number larger than 1. Hence, L increases with time and is a time-dependent quantity. Therefore, the scaling of FLAB() is crucial to predict the bound for the relaxation of OTOC. In particular, when FLAB() decays algebraically with the system size, e.g., FLAB()Lα, then the OTOC of the thermodynamic size system cannot decay faster than algebraically in time, or more precisely from Equation (5) one can write that it cannot be faster than

FL=AB(t)1tα (6)

because L=svLRt.

The actual decay of the OTOC may even be slower, for example, considering cases in which the system goes through prethermalization [47] or in which the system is many-body localized [48]. However, the relaxation cannot be faster; hence, the OTOC will have a slow, non-exponential relaxation. A comprehensive analysis of this is presented in [39].

3. Generic Algebraic Relaxation in Short-Ranged Systems

3.1. Estimate of the Infinite Time Value of OTOC

In this section, we show how to obtain the approximate value of the infinite-time, finite-size, OTOC FLAB()

FLAB()=1VpApp2Bpp2+1Vp,qpAppAqq|Bpq|2+1Vp,qpBppBqq|Apq|21VpApp2Bpp2+1VpAppApp(BB)ppBpp2+1VpBppBpp(AA)ppApp21VpApp2Bpp2+1Vptr(BB)Bpp2App2+1Vptr(AA)App2Bpp21VpApp2Bpp2+1Vp1Bpp2App2+1Vp1App2Bpp21VpApp2+Bpp2App2Bpp21VpApp2+Bpp2, (7)

where we have used steps similar to [39,45], and a similar discussion can be found in [40]. Thus, the main contribution of the infinite-time finite-size OTOC comes from the App2 and Bpp2 terms, which we will be discussing in the following.

3.2. Structure of the Diagonal Elements

In short, the diagonal element App can be approximated by a function of eigenenergy Ep

|AppfA(Ep/L)|e(Ω(L)), (8)

where fA(Ep/L) can be expanded as

fA(Ep/L)=fA(0)+fA(1)(0)Ep/L+12fA(2)(0)Ep2/L2+...=qfA(q)q!EpLq (9)

with fA(q) being the q-th derivative of fA. We also note that, using Lemma 1 in [45], one can write

1VpEpq=Hq=O(Lq/2). (10)

In [45] it was shown that, for traceless operators fA(0)=0, and if fA(1)(0)0, then we can write

tr(AH)=1VpAppEp1VLpEp2fA(1)(0)H2LfA(1)(0) (11)

and thus

fA(1)(0)tr(AH)LH2. (12)

Hence, the first derivative of a local observable A is independent of the system size. From Equation (12), we obtain

FLAB()1Vp(App2+Bpp2)1VpEp2L2fA(1)(0)2+fB(1)(0)21VpEp2L2tr(AH)2+tr(BH)2L2H22tr(AH)2+tr(BH)2H21L. (13)

The last step stems from the fact that tr(AH) and tr(BH) are independent of the system size, while H2L from Equation (10).

If tr(AH)=0 but, for instance, tr(AHp)0 only for ppc then one can generalize the previous result. Considering fA(q)(0) as the smalles non-zero derivative of fA at zero energy (with the same parity as pc), then we can write

tr(AHpc)=nfA(q)q!Enq+pcLq (14)

which implies that

fA(q)=q!tr(AHpc)LqHpc+q. (15)

Now, if q<pc then fA(q) would decay as L(pcq)/2, which implies that they are 0, and the non-size dependent fA(q)(0) would occur exactly at q=pc. This implies that the first non-zero derivative of fA(0) is the pc-th one. Thus, when tr(AHp)0 only for ppc we can write

FLAB()1VnEnL2pcfA(pc)(0)2+fB(pc)(0)21VnEnL2pctr(AHpc)2+tr(BHpc)2L2pcH2pc2tr(AHpc)2+tr(BHpc)2H2pc1Lpc. (16)

Building on Equation (16), and combining it with the Lieb–Robinson bound L=svLRt, we can thus guarantee that FAB cannot relax faster than tpc. Furthermore, for systems in which correlations mostly spread diffusively, i.e., proportional to t1/2, we can can expect FAB to relax as tpc/2. Hence, the structure of the diagonal elements of the observables, which is the first non-zero derivative at 0 energy, i.e., which is the first exponent of the Hamiltonian that has non-zero overlap with the operators A and B considered, plays an important role in the relaxation dynamics of the OTOC in the system. This is numerically verified in detail in the following section.

4. Results

4.1. Model

We consider a prototypical non-integrable model, the tilted Ising chain with Hamiltonian

H=l=1L1Jzσlzσl+1z+l=1L(hxσlx+hzσlz), (17)

where Jz is the coupling constant in the z direction, while hx and hz are the transverse and the longitudinal field strengths. The model is integrable when either hx=0 or hz=0. This can be verified by studying the level spacing statistics, which typically follows a Poisson distribution for integrable systems and a Wigner–Dyson distribution for non-integrable ones [49,50]. In particular, δn=En+1En, the level spacing between two consecutive energy levels En and En+1 within a single symmetry sector, define the ratio rn=max(δn,δn+1)/min(δn,δn+1) and take an average r=nrn/N, where N is the number of energy level differences considered. For a Poisson distribution, r can be computed analytically, and it gives r=2ln210.386, while for a Wigner–Dyson distribution r can be evaluated numerically to be r0.529 [51]. In the current work, we use parameters Jz=1, hz=0.809, and hx=0.9, which result in r0.53 already for a system size of L=12 spins.

4.2. Observables and Structure of Their Diagonal Elements

To span over a variety of different structures, and to have operators A, which have tr(AHp)0 only for ppc with pc, which can be different from 1, we analyze both single-site and multi-site observables in our study. In particular, we consider the following four types of observables:

singlesiteσlα (18)
doublesiteσlασl+1α (19)
triplesiteσl1ασlασl+1α (20)
quadruplesiteσl2ασl1ασlασl+1α (21)

where α=x,y or z. The diagonal elements of these operators in the eigenbasis of Hamiltonian Equation (17) are shown in Figure 1. The left column is for α=x, the center column is for α=y, and the right column is for α=z. The rows are for increasing the range of operators from top to bottom, with the top row for single-site operators and the fourth row for four-site operators. In all of the panels, the dashed lines represent the expected algebraic energy dependence of fA near energy zero from Section 3.2. We note that these fits are evaluated directly from calculating fA(n)(0) with Equation (15) along with eigenenergies En for the system Hamiltonian in Equation (17) with no fitting parameters.

Figure 1.

Figure 1

Diagonal elements of the observable in the energyeigen basis for single-site observables A=σL/2α panel (ac), double-site observables A=σL/2ασL/2+1α (df), triple-site observables A=σL/21ασL/2ασL/2+1α (gi), and quadruple-site observables A=σL/22ασL/21ασL/2ασL/2+1α (jl). Left panels are for σlx (α=x) observables, middle panels are for σly (α=y) observables, and right panels are for σlz (α=z) observables. Dashed lines are the lowest order fits in the Taylor expansion of the observable in Equation (9). Here, L=14, Jz=1, hx=0.9, and hz=0.809.

For single-site observables A=σlx and σlz, and for the non-integrable Ising chain tr(AH)0 and so fA(1)(0)0. However, with A=σly, tr(AHn)=0 for any n. Hence, we expect a linear variation of the diagonal elements of σlx and σlz with energy density En/L and a flat profile for σly. This can be seen in Figure 1a–c. To conform our analytical predictions, we plot fA(1)(0)En/L where fA(1)(0) is calculated explicity form Equation (12).

The two-site observables A=σL/2ασL/2+1α, are shown in the panels (d–f). For A=σL/2xσL/2+1x, tr(AH2)0, whereas tr(AH)=0 and, as predicted in Section 3.2, we thus observe that fA can be fitted by a parabola fA(2)(0)En2/(2!L2) indicated by the dashed black lines. Since tr(AH)0 for A=σL/2zσL/2+1z, we see a linear scaling of Ann with En/L. For the A=σL/2yσL/2+1y observable, tr(AHm)0 for m3. Hence, we see a cubic structure of the diagonal elements with a fitting of the form fA(3)(0)En3/(3!L3).

We also consider triple-site observables A=σL/21ασL/2ασL/2+1α. These are depicted in the panels (g–i). Here, tr(AHm)0 for m3 for σlx observables, and we clearly see a cubic structure for the diagonal elements that can be fitted with lines of the form fA(3)(0)En3/(3!L3). Since there are no diagonal elements for any power of H for the σy observable, a flat profile is seen. With the σz observable, a parabolic structure is seen since tr(AH2)0, whereas tr(AH)=0. This is also nicely fitted by fA(2)(0)En2/(2!L2) in panel (i).

For the four site observable, we study A=σL/22ασL/21ασL/2ασL/2+1α. For A=σL/22xσL/21xσL/2xσL/2+1x, a quartic structure can be seen as tr(AHm)0 only for m4. This is fitted by fA(4)(0)En4/(4!L4) (black dashed lines). With σly observables, the expected structure is hexic (polynomial of sixth degree) because tr(AHm)0 only for m6. Though it is less clear, we fit it with the expected scaling fA(6)(0)En6/(6!L6) using the black dashed lines. For the σz observable, we find a parabolic structure in accordance with our prediction as tr(AH2)0, whereas tr(AH)=0. Since we consider systems of size L=14, the results in Figure 1j–l are partially affected by finite-size effects. Despite this, the numerics are aligned with our theoretical predictions.

To summarize this section, we observe clearly that the diagonal elements of operators can have a very different dependence as a function of energy near zero. In particular, we have numerically verified the prediction that Ann1/Lp, where p is the lowest positive integer such that tr(AHp)0.

4.3. Scaling of the Infinite Time Value of OTOC

In Figure 2, we show numerical confirmation that, given the minimum positive integer pc such that tr(AHpc)0 or tr(BHpc)0, then FL=AB(t)1/Lpc. In each of the panels, we show how the infinite time value of the OTOC FLAB(t=) varies as a function of the system size L. In the different panels, we will focus on single-site, panel (a); two-site, panel (b), three-site, panel (c); and four-site, panel (d), observables. In each panel, the red line with circles corresponds to α=x, blue with stars to α=y, and green with diamonds to α=z. In panel Figure 2a, we plot the infinite time values of OTOC with single-site observables A,B=σlα, where l=L/2 for observable B and l=L/21 for observable A. We see that these observables have pc=1, and hence they follow 1/L scaling, as shown by dashed line. σly has no overlap with any local conserved quantities, and hence the diagonal elements as well as the infinite time values of OTOC are zero. Figure 2b is for double-site observables Equation (19), where l=L/2 for observable B and l=L/22 for observable A. We compare the numerical results with fitted lines, in particular with 1/L2 (dotted), 1/L3 (dashed dotted lines), and 1/L (dashed), respectively, corresponding to operators with pc=2,3 and 1. We note that due to the small value of the overlap of σjyσj+1y with the Hamiltonian, the expected scaling is followed only at larger system sizes. In panel (c), we plot the triple-site observables Equation (20), where j=L/23 for A and j=L/2 for B. Fitted lines are for 1/L2 and 1/L3 scalings, as expected, since α=2 and 3, respectively. Since the diagonal elements of σjyσj+1yσj+2y are zero, the infinite time value of the OTOC FLAB(t=) is zero. Panel (d) is for quadruple-site observables Equation (21), where j=L/24 for A and j=L/2 for B. The expected scalings are pc=4,6,2. However, due to the fact that the observables have a large support at initial time, we see that the correct scaling of 1/L4,1/L6,1/L2 is followed only at large system sizes.

Figure 2.

Figure 2

Infinite time values of OTOC corresponding to the single-site observables with A=σL/21α, B=σL/2α panel (a), double-site observables with A=σL/22ασL/21α, B=σL/2ασL/2+1α (b), triple-site observables with A=σL/23ασL/22ασL/21α, B=σL/2ασL/2+1ασL/2+2α (c), and quadruple-site observables with A=σL/24ασL/23ασL/22ασL/21α, B=σL/2ασL/2+1ασL/2+2ασL/2+3α (d). Green lines with diamonds are for observables involving only σlz(α=z) operators, red lines with circles are for σlx(α=x), and blue lines with stars are for σly(α=y) operators, respectively. Black-dashed, brown-dotted, and grey-dashed dotted lines are the fits for σlz, σlx, and σly observables. Here, Jz=1, hx=0.9, and hz=0.809.

4.4. Dynamics of OTOCs

We study the dynamics of OTOC in Figure 3, where each panel reflects the same case analyzed in the corresponding panel of Figure 2. Green lines are for observables involving only σlz operators, red lines are for σlx, and blue lines are for σly operators, respectively. In these plots, we need to study the long-time evolution. We thus need to disregard initial transients. At the same time, though, our results are affected by finite size, so we would need to concentrate on long yet intermediate times to evaluate the relaxation of the OTOC over time. Light shades are for L=14, and dark shades for L=12. Black-dashed, brown-dotted, and grey-dashed dotted lines are the fits for σlz, σlx, and σly observables. Figure 3a is for single-site observables, as in Equation (18). We have already seen that since tr(OH)0, for (O=A,B), then the infinite time value of OTOC FLAB(t=) scales as 1/L. From our discussion at the end of Section 3.2, we thus expect that FAB(t)1/t1/2, and the numerical result of the dynamics, is well fitted by the black dashed line proportional to t1/2.

Figure 3.

Figure 3

Time evolution of OTOC corresponding to the single-site observables with A=σL/21α, B=σL/2α panel (a), double-site observables with A=σL/22ασL/21α, B=σL/2ασL/2+1α (b), triple-site observables A=σL/23ασL/22ασL/21α, B=σL/2ασL/2+1ασL/2+2α (c), and quadruple-site observables A=σL/24ασL/23ασL/22ασL/21α, B=σL/2ασL/2+1ασL/2+2ασL/2+3α (d). Green lines are for observables involving only σlz(α=z) operators, red lines are for σlx(α=x), and blue lines are for σly(α=y) operators respectively. Black-dashed, brown-dotted, and grey-dashed dotted lines are the fits for σlz, σlx, and σly observables discussed in the text. Here, L=14 for lighter shades and L=12 for darker shades and Jz=1, hx=0.9, and hz=0.809.

In Figure 3b, we study the two-site observables of Equation (19) with l=L/2 for observable B and l=L/22 for observable A. As already discussed, the lowest order terms that have non zero values in the Taylor expansion for these observables are 1,2 and 3, respectively, for the σlz,σlx,σly observables. In Figure 2b, we showed the scaling of the infinite-time OTOC for these observables as 1/L, 1/L2, 1/L3. Here, we would thus expect a scaling with times of 1/t1/2, 1/t, and 1/t3/2, as shown in the plots by dotted, dashed dotted, and dashed lines, respectively. We study the evolution of three-site observables of Equation (20) in Figure 3c. Here, l=L/23 for A and l=L/2 for B. Fitted lines are for 1/t and 1/t3/2 scaling as expected since tr(OH)0 for σlz and tr(OH2)0 for the σlx observable. Panel (d) shows the dynamics for four site observables with l=L/24 for A and l=L/2 for B. The expected scaling is 1/t, 1/t2, and 1/t3 for α=z,x and y, respectively, whose operators for the corresponding critical exponent pc that gives non-zero overlap are 2,4, and 6.

5. Conclusions

OTOCs have been studied as a probe for quantum information scrambling. Slow, algebraic scrambling has been reported in systems with local conserved quantities [34,38,39,40].

In this paper, we showed that the higher the exponent at which ones elevates the Hamiltonian in order to have a non-zero overlap with the operators in the OTOC, the faster is the relaxation of the OTOC over time. Furthermore, if there is an exponent such that the overlap is non-zero, then the relaxation, even if it appears to be fast, is bounded to be, at the fastest, algebraic, and only if there is no overlap with any power of the Hamiltonian (or other conserved quantities), then the relaxation can be exponential.

From our results, it follows that considering single-site operators in the OTOC, and a local Hamiltonian with only a single site and nearest neighbours term, relaxation can only take a limited set of exponents. It is thus necessary to consider operators with larger support, such as two-site, three-site, and four-site operators, to observe a larger variety and magnitude of relaxation exponents. This, however, leads to the difficulty of studying the relaxation numerically due to more pronounced finite-size effects when studying operators with larger support. Future developments in numerical methods could help to test our results for larger systems.

In order to derive these results, we also found a relation between the first non-zero derivative of the function representing the diagonals of an operator in the energy basis and the first non-zero exponent of the Hamiltonian (which has non-zero overlap with the operators of the OTOC). Future works could extend these results to time-dependent systems with other types of conserved quantities.

Acknowledgments

We acknowledge C. von Keyserlingk who asked a critical and insightful question which started this project. The computational work for this article were partially performed on the National Supercomputing Centre, Singapore [52]. D.P. and V.B. are extremely grateful to G. Casati, to whom this volume is dedicated, for his guidance and example throughout the many years we had the fortune to learn from, interact and collaborate with.

Author Contributions

V.B. and D.P. have contributed equally to Conceptualization, Methodology, Formal Analysis, and Writing (original draft and review/editing). All authors have read and agreed to the published version of the manuscript.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data that support the findings of this study are available from the corresponding author upon reasonable request.

Conflicts of Interest

The authors declare no conflict of interest.

Funding Statement

D.P. acknowledges support from Ministry of Education Singapore, grant T2EP50120-0041.

Footnotes

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References

  • 1.Witten E. Anti-de Sitter space and holography. Adv. Theor. Math. Phys. 1998;2:253–291. doi: 10.4310/ATMP.1998.v2.n2.a2. [DOI] [Google Scholar]
  • 2.Maldacena J. The Large-N Limit of Superconformal Field Theories and Supergravity. Int. J. Theor. Phys. 1999;38:1113–1133. doi: 10.1023/A:1026654312961. [DOI] [Google Scholar]
  • 3.Hayden P., Preskill J. Black holes as mirrors: Quantum information in random subsystems. J. High Energy Phys. 2007;2007:120. doi: 10.1088/1126-6708/2007/09/120. [DOI] [Google Scholar]
  • 4.Sekino Y., Susskind L. Fast scramblers. J. High Energy Phys. 2008;2008:65. doi: 10.1088/1126-6708/2008/10/065. [DOI] [Google Scholar]
  • 5.Shenker S.H., Stanford D. Black holes and the butterfly effect. J. High Energy Phys. 2014;2014:67. doi: 10.1007/JHEP03(2014)067. [DOI] [Google Scholar]
  • 6.Sachdev S., Ye J. Gapless spin-fluid ground state in a random quantum Heisenberg magnet. Phys. Rev. Lett. 1993;70:3339. doi: 10.1103/PhysRevLett.70.3339. [DOI] [PubMed] [Google Scholar]
  • 7.Kitaev A. A Simple Model of Quantum Holography. Talks at KITP. 2015. [(accessed on 23 November 2022)]. Available online: https://online.kitp.ucsb.edu/online/entangled15/kitaev/
  • 8.Lashkari N., Stanford D., Hastings M., Osborne T., Hayden P. Towards the fast scrambling conjecture. J. High Energy Phys. 2013;2013:22. doi: 10.1007/JHEP04(2013)022. [DOI] [Google Scholar]
  • 9.Roberts D.A., Stanford D. Diagnosing Chaos Using Four-Point Functions in Two-Dimensional Conformal Field Theory. Phys. Rev. Lett. 2015;115:131603. doi: 10.1103/PhysRevLett.115.131603. [DOI] [PubMed] [Google Scholar]
  • 10.Cotler J.S., Gur-Ari G., Hanada M., Polchinski J., Saad P., Shenker S.H., Stanford D., Streicher A., Tezuka M. Black holes and random matrices. J. High Energy Phys. 2017;2017:118. doi: 10.1007/JHEP05(2017)118. [DOI] [Google Scholar]
  • 11.Roberts D.A., Stanford D., Susskind L. Localized shocks. J. High Energy Phys. 2015;2015:51. doi: 10.1007/JHEP03(2015)051. [DOI] [Google Scholar]
  • 12.Hosur P., Qi X.L., Roberts D.A., Yoshida B. Chaos in quantum channels. J. High Energy Phys. 2016;2016:4. doi: 10.1007/JHEP02(2016)004. [DOI] [Google Scholar]
  • 13.Borgonovi F., Izrailev F.M., Santos L.F. Timescales in the quench dynamics of many-body quantum systems: Participation ratio versus out-of-time ordered correlator. Phys. Rev. E. 2019;99:052143. doi: 10.1103/PhysRevE.99.052143. [DOI] [PubMed] [Google Scholar]
  • 14.Li J., Fan R., Wang H., Ye B., Zeng B., Zhai H., Peng X., Du J. Measuring Out-of-Time-Order Correlators on a Nuclear Magnetic Resonance Quantum Simulator. Phys. Rev. X. 2017;7:031011. doi: 10.1103/PhysRevX.7.031011. [DOI] [Google Scholar]
  • 15.Gärttner M., Bohnet J.G., Safavi-Naini A., Wall M.L., Bollinger J.J., Rey A.M. Measuring out-of-time-order correlations and multiple quantum spectra in a trapped-ion quantum magnet. Nat. Phys. 2017;13:781–786. doi: 10.1038/nphys4119. [DOI] [Google Scholar]
  • 16.Landsman K.A., Figgatt C., Schuster T., Linke N.M., Yoshida B., Yao N.Y., Monroe C. Verified quantum information scrambling. Nature. 2019;567:61–65. doi: 10.1038/s41586-019-0952-6. [DOI] [PubMed] [Google Scholar]
  • 17.Niknam M., Santos L.F., Cory D.G. Sensitivity of quantum information to environment perturbations measured with a nonlocal out-of-time-order correlation function. Phys. Rev. Res. 2020;2:013200. doi: 10.1103/PhysRevResearch.2.013200. [DOI] [Google Scholar]
  • 18.Joshi M.K., Elben A., Vermersch B., Brydges T., Maier C., Zoller P., Blatt R., Roos C.F. Quantum Information Scrambling in a Trapped-Ion Quantum Simulator with Tunable Range Interactions. Phys. Rev. Lett. 2020;124:240505. doi: 10.1103/PhysRevLett.124.240505. [DOI] [PubMed] [Google Scholar]
  • 19.Blok M.S., Ramasesh V.V., Schuster T., O’Brien K., Kreikebaum J.M., Dahlen D., Morvan A., Yoshida B., Yao N.Y., Siddiqi I. Quantum Information Scrambling on a Superconducting Qutrit Processor. Phys. Rev. X. 2021;11:021010. doi: 10.1103/PhysRevX.11.021010. [DOI] [Google Scholar]
  • 20.Mi X., Roushan P., Quintana C., Mandra S., Marshall J., Neill C., Arute F., Arya K., Atalaya J., Babbush R., et al. Information Scrambling in Computationally Complex Quantum Circuits. Science. 2021;374:1479–1483. doi: 10.1126/science.abg5029. [DOI] [PubMed] [Google Scholar]
  • 21.Braumüller J., Karamlou A.H., Yanay Y., Kannan B., Kim D., Kjaergaard M., Melville A., Niedzielski B.M., Sung Y., Vepsäläinen A., et al. Probing quantum information propagation with out-of-time-ordered correlators. Nat. Phys. 2021;18:172–178. doi: 10.1038/s41567-021-01430-w. [DOI] [Google Scholar]
  • 22.Rozenbaum E.B., Ganeshan S., Galitski V. Lyapunov Exponent and Out-of-Time-Ordered Correlator’s Growth Rate in a Chaotic System. Phys. Rev. Lett. 2017;118:086801. doi: 10.1103/PhysRevLett.118.086801. [DOI] [PubMed] [Google Scholar]
  • 23.Hashimoto K., Murata K., Yoshii R. Out-of-time-order correlators in quantum mechanics. J. High Energy Phys. 2017;2017:138. doi: 10.1007/JHEP10(2017)138. [DOI] [Google Scholar]
  • 24.Cotler J.S., Ding D., Penington G.R. Out-of-time-order operators and the butterfly effect. Ann. Phys. 2018;396:318–333. doi: 10.1016/j.aop.2018.07.020. [DOI] [Google Scholar]
  • 25.García-Mata I., Saraceno M., Jalabert R.A., Roncaglia A.J., Wisniacki D.A. Chaos Signatures in the Short and Long Time Behavior of the Out-of-Time Ordered Correlator. Phys. Rev. Lett. 2018;121:210601. doi: 10.1103/PhysRevLett.121.210601. [DOI] [PubMed] [Google Scholar]
  • 26.Chávez-Carlos J., López-del Carpio B., Bastarrachea-Magnani M.A., Stránský P., Lerma-Hernández S., Santos L.F., Hirsch J.G. Quantum and Classical Lyapunov Exponents in Atom-Field Interaction Systems. Phys. Rev. Lett. 2019;122:024101. doi: 10.1103/PhysRevLett.122.024101. [DOI] [PubMed] [Google Scholar]
  • 27.Fortes E.M., García-Mata I., Jalabert R.A., Wisniacki D.A. Gauging classical and quantum integrability through out-of-time-ordered correlators. Phys. Rev. E. 2019;100:042201. doi: 10.1103/PhysRevE.100.042201. [DOI] [PubMed] [Google Scholar]
  • 28.Rammensee J., Urbina J.D., Richter K. Many-Body Quantum Interference and the Saturation of Out-of-Time-Order Correlators. Phys. Rev. Lett. 2018;121:124101. doi: 10.1103/PhysRevLett.121.124101. [DOI] [PubMed] [Google Scholar]
  • 29.Prakash R., Lakshminarayan A. Scrambling in strongly chaotic weakly coupled bipartite systems: Universality beyond the Ehrenfest timescale. Phys. Rev. B. 2020;101:121108. doi: 10.1103/PhysRevB.101.121108. [DOI] [Google Scholar]
  • 30.Bergamasco P.D., Carlo G.G., Rivas A.M.F. Out-of-time ordered correlators, complexity, and entropy in bipartite systems. Phys. Rev. Res. 2019;1:033044. doi: 10.1103/PhysRevResearch.1.033044. [DOI] [Google Scholar]
  • 31.Rozenbaum E.B., Bunimovich L.A., Galitski V. Early-Time Exponential Instabilities in Nonchaotic Quantum Systems. Phys. Rev. Lett. 2020;125:014101. doi: 10.1103/PhysRevLett.125.014101. [DOI] [PubMed] [Google Scholar]
  • 32.Wang J., Benenti G., Casati G., Wang W.G. Complexity of quantum motion and quantum-classical correspondence: A phase-space approach. Phys. Rev. Res. 2020;2:043178. doi: 10.1103/PhysRevResearch.2.043178. [DOI] [Google Scholar]
  • 33.Wang J., Benenti G., Casati G., Wang W.G. Quantum chaos and the correspondence principle. Phys. Rev. E. 2021;103:L030201. doi: 10.1103/PhysRevE.103.L030201. [DOI] [PubMed] [Google Scholar]
  • 34.Rakovszky T., Pollmann F., von Keyserlingk C.W. Diffusive Hydrodynamics of Out-of-Time-Ordered Correlators with Charge Conservation. Phys. Rev. X. 2018;8:031058. doi: 10.1103/PhysRevX.8.031058. [DOI] [Google Scholar]
  • 35.Nahum A., Ruhman J., Vijay S., Haah J. Quantum Entanglement Growth under Random Unitary Dynamics. Phys. Rev. X. 2017;7:031016. doi: 10.1103/PhysRevX.7.031016. [DOI] [Google Scholar]
  • 36.Nahum A., Vijay S., Haah J. Operator Spreading in Random Unitary Circuits. Phys. Rev. X. 2018;8:021014. doi: 10.1103/PhysRevX.8.021014. [DOI] [Google Scholar]
  • 37.von Keyserlingk C.W., Rakovszky T., Pollmann F., Sondhi S.L. Operator Hydrodynamics, OTOCs, and Entanglement Growth in Systems without Conservation Laws. Phys. Rev. X. 2018;8:021013. doi: 10.1103/PhysRevX.8.021013. [DOI] [Google Scholar]
  • 38.Khemani V., Vishwanath A., Huse D.A. Operator Spreading and the Emergence of Dissipative Hydrodynamics under Unitary Evolution with Conservation Laws. Phys. Rev. X. 2018;8:031057. doi: 10.1103/PhysRevX.8.031057. [DOI] [Google Scholar]
  • 39.Balachandran V., Benenti G., Casati G., Poletti D. From the eigenstate thermalization hypothesis to algebraic relaxation of OTOCs in systems with conserved quantities. Phys. Rev. B. 2021;104:104306. doi: 10.1103/PhysRevB.104.104306. [DOI] [Google Scholar]
  • 40.Balachandran V., Santos L.F., Rigol M., Poletti D. Effect of symmetries in out-of-time ordered correlators in interacting integrable and nonintegrable many-body quantum systems. arXiv. 20222211.07073 [Google Scholar]
  • 41.Lieb E.H., Robinson D.W. The finite group velocity of quantum spin systems. Commun. Math. Phys. 1972;28:251–257. doi: 10.1007/BF01645779. [DOI] [Google Scholar]
  • 42.Srednicki M. Thermal fluctuations in quantized chaotic systems. J. Phys. Math. Gen. 1996;29:L75–L79. doi: 10.1088/0305-4470/29/4/003. [DOI] [Google Scholar]
  • 43.Deutsch J.M. Quantum statistical mechanics in a closed system. Phys. Rev. A. 1991;43:2046–2049. doi: 10.1103/PhysRevA.43.2046. [DOI] [PubMed] [Google Scholar]
  • 44.Srednicki M. The approach to thermal equilibrium in quantized chaotic systems. J. Phys. A Math. Gen. 1999;32:1163–1175. doi: 10.1088/0305-4470/32/7/007. [DOI] [Google Scholar]
  • 45.Huang Y., Brandão F.G.S.L., Zhang Y.L. Finite-Size Scaling of Out-of-Time-Ordered Correlators at Late Times. Phys. Rev. Lett. 2019;123:010601. doi: 10.1103/PhysRevLett.123.010601. [DOI] [PubMed] [Google Scholar]
  • 46.Cheneau M., Barmettler P., Poletti D., Endres M., Schauß P., Fukuhara T., Gross C., Bloch I., Kollath C., Kuhr S. Light-cone-like spreading of correlations in a quantum many-body system. Nature. 2012;481:484–487. doi: 10.1038/nature10748. [DOI] [PubMed] [Google Scholar]
  • 47.Luitz D.J., Moessner R., Sondhi S.L., Khemani V. Prethermalization without Temperature. Phys. Rev. X. 2020;10:021046. doi: 10.1103/PhysRevX.10.021046. [DOI] [Google Scholar]
  • 48.Lee J., Kim D., Kim D.H. Typical growth behavior of the out-of-time-ordered commutator in many-body localized systems. Phys. Rev. B. 2019;99:184202. doi: 10.1103/PhysRevB.99.184202. [DOI] [Google Scholar]
  • 49.Bohigas O., Giannoni M.J., Schmit C. Characterization of Chaotic Quantum Spectra and Universality of Level Fluctuation Laws. Phys. Rev. Lett. 1984;52:1–4. doi: 10.1103/PhysRevLett.52.1. [DOI] [Google Scholar]
  • 50.Casati G., Valz-Gris F., Guarnieri I. Connection between quantization of nonintegrable systems and statistical theory of spectra. Lett. Nuovo Cimento. 1980;28:279. doi: 10.1007/BF02798790. [DOI] [Google Scholar]
  • 51.Oganesyan V., Huse D.A. Localization of interacting fermions at high temperature. Phys. Rev. B. 2007;75:155111. doi: 10.1103/PhysRevB.75.155111. [DOI] [Google Scholar]
  • 52. [(accessed on 30 September 2022)]. Available online: https://www.nscc.sg/

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The data that support the findings of this study are available from the corresponding author upon reasonable request.


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