Super-exponential scrambling of Out-of-time-ordered correlators
Abstract
Out-of-time-ordered correlators (OTOCs) are an effective tool in characterizing black hole chaos, many-body thermalization and quantum dynamics instability. Previous research findings have shown that the OTOCs’ exponential growth (EG) marks the limit for quantum systems. However, we report in this letter a periodically-modulated nonlinear Schrödinger system, in which we interestingly find a novel way of information scrambling: super-EG. We show that the quantum OTOCs’ growth, which stems from the quantum chaotic dynamics, will increase in a super-exponential way. We also find that in the classical limit, the hyper-chaos revealed by a linearly-increasing Lyapunov exponent actually triggers the super-EG of classical OTOCs. The results in this paper break the restraints of EG as the limit for quantum systems, which give us new insight into the nature of information scrambling in various fields of physics from black hole to many-body system.
Introduction.— Akin to quantum butterfly effects, quantum scrambling is the process of encoded information spreading from local degrees of freedom to multiple degrees of freedom, hence comes its unattainability by measuring the local operators Swingle19 ; Lewis19 . However, through the time evolution of out-of-time-ordered correlators (OTOCs) Xu20 ; Prakash20 ; Sekino08 ; Landsman19 ; Rozenbaum20 , this elusive process can be well quantified, which explains the enthusiastic and extensive study of OTOCs in many frontiers of physics such as quantum holography, quantum chaos and black hole physics. Recent research has proved that OTOCs act as an effective indicator of quantum phase transition Dag19 ; Sahu19 ; Wangqian19 ; Heyl2018 , many-body localization Rammensee18 ; Ray18 ; Huang16 and quantum entanglement Garttner18 . Besides, experimental progress has made it possible to observe the OTOCs in atomic-optics setups Rammensee18 ; Ray18 and nuclear spins Li2017 . Up to now, a wide range of OTOCs with logarithmic, power-law or exponential growth (EG) has been found in various systems including many-body systems and quantum chaotic systems.
As proposed in landmark studies of quantum chaos, the OTOCs can be used to describe the exponential instability in quantum dynamics Hashimoto2017 ; Mata2018B ; Fortes19 ; Dora2017 ; Rozenbaum17 ; Rozenbaum19 ; Yan19 . As for systems with the well-defined classical limit, the EG will occur within Ehrenfest time with a rate determined by the classical Lyapuonv exponent Mata2018B ; Fortes19 ; Rozenbaum17 ; Lakshmi19 . Interestingly, the mathematically verified correlation between OTOCs and Loschmidt echo provides theoretical basis for the irreversibility of scrambling dynamics Zurek20 . Note that, the boundary set by chaos dynamics for exponential scrambling of OTOCs, which means that an exponent actually marks the greatest rate of increase for OTOCs in a quantum system, is obtained by the conjecture of thermalization in quantum systems with a large number of degrees of freedom Murthy19 ; Maldacena16 . At present, massive research efforts have been focused on how many-body chaos affects the dynamics of OTOCs. For instance, a recent study has shown that the OTOCs’ EG is equal to the classical Lyapunov exponent in the presence of interatomic interaction Mata2018 . However, we noticed that the growth rate of OTOCs in previous systems fails to break the exponential limit. Therefore, is it safe to say that the EG actually tops all OTOCs’ rates of growth in quantum systems?
Model and results.— We consider a Schrödinger system with the temporally modulated nonlinear interaction, the corresponding Hamiltonian reads Zhao16 ; Zhao19
(1) |
where the angular momentum operator with being the effective Planck constant, is angle coordinate, denotes the nonlinear interaction strength. All variables are properly scaled and thus in dimensionless units. An arbitrary quantum state is expanded in terms of the complete basis of angular momentum operator (), i.e., , hence, it is periodical in , i.e., . The one-period evolution operator from time to is given by . The quantum OTOCs are defined as the average of the squared commutator, i.e., , where is the time-dependent operator in Heisenberg picture, with being the average of the initial state. In the many-body systems, the average of comes from thermal states. For the quantum mapping systems, however, there is no definition of thermal states, as the temperature tends to be infinitely large after long time evolution Rigol14 . Indeed, our previous investigations have proved that the system in Eq. (1) exhibits the unbounded heating, which is quantified by the exponentially-fast growth of mean energy Zhao16 ; Zhao19 .
Here, we consider the case of a pure state, i.e., a Gaussian wavepacket . As in ref. Rozenbaum17 , , namely
(2) |
Our main result is the analytical prediction of the Super-EG scrambling of the quantum OTOCs
(3) |
where
(4) |
, and are prefactors and is the normalization constant of the initial state (usually ). Numerical results of OTOCs are in good agreement with the analytical expression (see Fig. 1). It is worth noting that EG is usually believed to be the boundary of the scrambling of OTOCs in chaotic systems Maldacena16 , therefore, our finding of the super-EG scrambling sheds new light in the field of quantum information Dressel18 ; Alonso19 . We have also investigated, both numerically and analytically, the OTOCs defined as . Interestingly, we found the scaling
(5) |
where is the time-dependent coefficient, is number of basis, namely the dimension of the system, is a constant, and the growth rate reads
(6) |
with Supple . It is obvious that the approaches to infinite with the increase of the dimension of the system , which demonstrates that there is no bound on the OTOCs in our system.
The bound of the exponential growth of OTOCs applies to many-body systems with finite temperature where the thermal states are well defined. For such systems, the two-point correlator in OTOCs saturates rapidly. The exponential growth of OTOCs mainly results from the four-point correlator Maldacena16 . It has proved that the periodically-driven systems are equivalent to the systems with infinite temperature Rigol14 , for which the thermal states cannot be well defined without an effective Hamiltonian. These essential differences lead to the inconsistency between the super-EG of OTOCs in our system and the bound of chaos in ref. Maldacena16 . Remarkably, for periodically-driven systems, the two-point correlator contributes mainly to the OTOCs, and the four-point correlator saturates rapidly Rozenbaum17 ; Ueda2018 . In the following, we will show that the two-point correlator part exhibits the super-exponential growth with time. Here, the super-EG of OTOCs is rooted in the exponentially-fast diffusion of mean energy. It is a clear evidence that the scrambling dynamics is closely related to quantum thermalization, which is highlighted in such interdisciplinary topics as quantum information scrambling and quantum chaos. On the other hand, as a variant of kicked rotor model, our system is an ideal platform for investigating the wavepacet dynamics, such as quantum walk Dadras18 and topologically-protected transport Ho12 in momentum-space lattice. Therefore, our finding opens a new prospective in the field of the scrambling dynamics in momentum-space lattice.

We proceed to evaluate the scrambling in the semiclassical limit. While approaching to the semiclassical limit, the quantum commutator reduces to Possion bracket . Then, a natural definition of the classical OTOCs are
(7) |
where denotes the average of the ensemble of classical trajectories Rozenbaum17 . In numerical calculations, the classical OTOCs are approximated as , where and denote the difference of the two nearest neighboring trajectories Rozenbaum17 .
We have proved that the system in Eq. (1) is mathematically equivalent to a generalized kicked rotor (GKR) model Zhao16 ; Zhao19 ; Supple , whose Hamiltonian takes the form
(8) |
The kicking strength dependent on the Fourier components of the quantum state reads
(9) |
The classical mapping equation of this GKR model can be formulated as
(10) |
where and indicate the classical momentum and angle variables after the -th kick.
Based on the classical mapping equations, we numerically investigate the classical OTOCs for different interaction . In numerical simulations, we set the initial values of and as random variables with the probability distribution given by Gaussian function in phase space. The difference of initial trajectories is . Interestingly, the classical OTOCs increase in the super-EG way, i.e.,
(11) |
which is in good agreement with our theoretical prediction (see Fig. 2(a)). In addition, we numerically investigate the maximal Lyapunov exponent . Remarkably, the maximal Lyapunov exponent linearly increases with time (see Fig. 2(a)), which is in consistence with the theoretical prediction in Eq. (18). This clearly demonstrates the existence of the hyper-chaotic dynamics Andreev19 . Different from previous research, in which the classical OTOCs depend on the in an exponential way of Mata2018B ; Fortes19 ; Rozenbaum17 ; Lakshmi19 , here we get the super-EG with the form . Compared with traditional quantum systems Guarneri17 ; Gisin95 , richer physics will be exhibited in the periodically-modulated nonlinear Schrödinger system from the perspective of either quantum dynamics or semi-classical dynamics.

Theoretical analysis.— It is straightforward to decompose the OTOCs in Eq. (2) as
(12) |
where we define the terms in the right of the above equation as
(13) |
Our numerical investigation shows that the contribution of the first term is larger than the other two about several orders of magnitude, which means Ueda2018 . The two-point correlation function quantifies the quantum irreversibility measured by the expectation value of under the perturbation of at the time . Hereinafter, we will show how the exponentially-fast diffusion of mean energy () induces the super-EG of .
The definition of in Eq. (13) means that there are four steps in the calculation of this part. The first step is the forward time evolution of an initial state from () to , which yields the quantum state . In the second step, the operator is exerted on the state , i.e., . The norm of this state has the expression , which is just the mean energy at the time . Our previous investigation has shown that the mean energy exponentially increases Zhao16 ; Zhao19 , i.e.,
(14) |
where we adopted the condition . The third step is the time reversal from to ( steps), which results in a state . Finally, in the fourth step, one can obtain the expectation value of with the state , i.e., .
Note that, the process of time reversal (the third step) can be viewed as a process starting from a new initial state normalized to , and then evolving into a quantum state in a time interval . The two-point correlator is just the “mean energy” of the state , which follows the exponentially-fast way
(15) |
with the rate Zhao16 ; Zhao19 . Taking Eq. (14) into account, the has the expression
(16) | ||||
where we use the condition . As a consequence, the OTOCs take the form
(17) |
where the prefactors , and can not be exactly obtained, since in the process of derivation we have used approximations in Eqs. (14), (15) and (16). According to the above analysis, the super-EG of OTOCs is mainly caused by the positive feedback mechanism of the temporally-modulated interaction, which is the key point in this letter. The exponential increase of the kicking strength, which is absent in the traditional kicked rotor model, is responsible for the appearance of super-EG in the classical limits of the system.
Next, we analyze the time evolution of the classical OTOCs. For the kicked rotor model, the maximum Lyapunov depends on the kicking strength by the way of Chirikov79 ; Rozenbaum17 . In the GKR model, the definition of one of the components of the kicking strength in Eq. (9) indicates that the is the quantum correlation in momentum space. A significant feature of this system is the exponential localization of quantum states, i.e., with being the localization length. Through simple calculation, one can obtain that the quantum correlation also has the exponential decay, i.e., Zhao16 ; Zhao19 . Then, a rough estimation of the kicking strength in the GKR model (see Eq. (10)) is . Previously, we have predicted the exponentially-fast increase of the localization length by means of the hybrid quantum-classical theory Zhao16 ; Zhao19 . As a consequence, the kick strength exponentially grows with time, i.e., . Accordingly, the Lyapunov exponent linearly increases with time
(18) |
For strong chaotic case, the classical OTOCs exponentially increase with the growth rate proportional to Lyapunov exponent Mata2018B ; Fortes19 ; Rozenbaum17 ; Lakshmi19 , i.e., . Taking Eq. (18) into account, one can get , which is confirmed by our numerical results (see Fig. 2).
Conclusion and prospects—We have proved the existence of OTOCs’ super-EG. The results not only give evidence to verify the association between quantum hyper-chaos and quantum scrambling, but also confirm the super-exponential sensitivity of quantum dynamics to initial conditions. Since the conventional theory has it that a EG boundary is imposed on the chaotic dynamics, our finding, by breaking traditional restraints, bears great significance in the research of information scrambling and quantum chaos Ray18 . More importantly, the super-EG is the fastest growth rate of OTOC today, for which, the underlying mechanism is the positive feedback of the periodic modulated interaction. Our finding helps review the issue of the chaotic systems’ boundary.
Experimentally, due to the generality of the nonlinear Schrödiner system, our findings will serve as a universal theory in broad fields including the cold atomic gases Dalfovo99 , nonlinear optics Szameit10 ; Longhi11 ; Blomer06 and complex Ginzburg-Landau equation in condensed-matter physics Anderson2002 . More remarkably, the interaction in the above-mentioned systems features high controllability Inouye98 ; Kevrekidis03 ; Theis04 ; Anderson2002 ; Chin10 ; Szameit10 ; Longhi11 ; Blomer06 , which will facilitate the experimental realization and observation of the predictions.
Acknowledgements.
We are grateful to Jie Liu and Jiaozi Wang for valuable suggestions and discussions. This work was supported by the Natural Science Foundation of China under Grant Nos. 12065009 and 11704132, the PCSIRT (Grant No. IRT1243), the Natural Science Foundation of Guangdong Province (No. 2018A030313322, and No. 2018A0303130066), the KPST of Guangzhou (Grant No. 201804020055) and science and technology program of Guangzhou (No. 2019050001)References
- (1) B. Swingle, Unscrambling the physics of out-of-time-order correlators, Nat. Phys. 14, 988 (2018).
- (2) R. J. Lewis-Swan, A. Safavi-Naini, J. J. Bollinger, and A. M. Rey, Unifying scrambling, thermalization and entanglement through measurement of fidelity out-of-time-order correlators in the Dicke model, Nat. Commun. 10, 1581 (2019).
- (3) T. Xu, T. Scaffidi, and X. Cao, Does Scrambling Equal Chaos? Phys. Rev. Lett. 124, 140602 (2020).
- (4) R. Prakash and A. Lakshminarayan, Scrambling in strongly chaotic weakly coupled bipartite systems: Universality beyond the Ehrenfest timescale, Phys. Rev. B101 121108(R) (2020).
- (5) Y. Sekino and L. Susskind, Fast scramblers, Fast scramblers, J. High Energy Phys. 08, 065 (2008).
- (6) K. A. Landsman, C. Figgatt, T. Schuster, N.M. Linke, B. Yoshida, N. Y. Yao, and C. Monroe, Verified quantum information scrambling, Nature (London) 567, 61 (2019).
- (7) E. B. Rozenbaum, S. Ganeshan, and V. Galitski, Universal level statistics of the out-of-time-ordered operator, Phys. Rev. B100 035112 (2019).
- (8) C. B. Daǧ , Kai Sun, and L.-M. Duan, Detection of Quantum Phases via Out-of-Time-Order Correlators, Phys. Rev. Lett. 123 140602 (2019).
- (9) S. Sahu, S. Xu, and B. Swingle, Scrambling Dynamics across a Thermalization-Localization Quantum Phase Transition, Phys. Rev. Lett. 123, 165902 (2019).
- (10) Q. Wang and F. Pérez-Bernal, Probing an excited-state quantum phase transition in a quantum many-body system via an out-of-time-order correlator, Phys. Rev. A100, 062113 (2019).
- (11) M. Heyl, F. Pollmann, and B. Dóra, Detecting Equilibrium and Dynamical Quantum Phase Transitions in Ising Chains via Out-of-Time-Ordered Correlators, Phys. Rev. Lett. 121, 016801 (2018).
- (12) S. Ray, S. Sinha, and K. Sengupta, Signature of chaos and delocalization in a periodically driven many-body system: An out-of-time-order-correlation study, Phys. Rev. A98, 053631 (2018).
- (13) J. Rammensee, J. D. Urbina, and K. Richter, it Many-Body Quantum Interference and the Saturation of Out-of-Time-Order Correlators, Phys. Rev. Lett. 121, 124101 (2018).
- (14) Y. Huang, Y. L. Zhang, and X. Chen, Out-of-time-ordered correlators in many-body localized systems, Ann. Phys. 529, 1600332 (2017).
- (15) M. Gärttner, P. Hauke, and A. M. Rey, Relating Out-of-Time-Order Correlations to Entanglement via Multiple-Quantum Coherences, Phys. Rev. Lett. 120 040402 (2018).
- (16) J. Li, R. Fan, H. Wang, B. Ye, B. Zeng, H. Zhai, X. Peng, and J. Du, Measuring Out-of-Time-Order Correlators on a Nuclear Magnetic Resonance Quantum Simulator, Phys. Rev. X 7, 031011 (2017).
- (17) K. Hashimoto, K. Murata, and R. Yoshii, Out-of-time-order correlators in quantum mechanics, J. High Energ. Phys. 10, 138 (2017).
- (18) R. A. Jalabert, I. García-Mata, and D. A. Wisniacki, Semiclassical theory of out-of-time-order correlators for low-dimensional classically chaotic systems, Phys. Rev. E98, 062218 (2018).
- (19) E. M. Fortes, I. García-Mata, R. A. Jalabert, and D. A. Wisniacki, Gauging classical and quantum integrability through out-of-time-ordered correlators, Phys. Rev. E100 042201 (2019).
- (20) B. Dóra and R. Moessner, Out-of-Time-Ordered Density Correlators in Luttinger Liquids, Phys. Rev. Lett. 119, 026802 (2017).
- (21) E. B. Rozenbaum, S. Ganeshan, and V. Galitski, Lyapunov Exponent and Out-of-Time-Ordered Correlator¡¯s Growth Rate in a Chaotic System, Phys. Rev. Lett. 118 086801 (2017).
- (22) E. B. Rozenbaum, L. A. Bunimovich, and V. Galitski, Early-Time Exponential Instabilities in Nonchaotic Quantum Systems, Phys. Rev. Lett. 125 014101 (2020).
- (23) H. Yan, J. Z. Wang, and W. G. Wang, Similar early growth of out-of-time-ordered correlators in quantum chaotic and integrable ising chains, Commun. Theor. Phys. (Beijing, China) 71, 1359 (2019).
- (24) A. Lakshminarayan, Out-of-time-ordered correlator in the quantum bakers map and truncated unitary matrices, Phys. Rev. E99, 012201 (2019).
- (25) B. Yan , L. Cincio, and W. H. Zurek, Information Scrambling and Loschmidt Echo, Phys. Rev. Lett. 124 160603 (2020).
- (26) C. Murthy and M. Srednicki, Bounds on Chaos from the Eigenstate Thermalization Hypothesis, Phys. Rev. Lett. 123, 230606 (2019).
- (27) J. Maldacena, S. H. Shenker, and D. Stanford, A bound on chaos, J. High Energy Phys. 08 106 (2016).
- (28) I. García-Mata, M. Saraceno, R. A. Jalabert, A. J. Roncaglia, and D. A. Wisniacki, Chaos Signatures in the Short and Long Time Behavior of the Out-of-Time Ordered Correlator, Phys. Rev. Lett. 121, 210601 (2018).
- (29) W. Zhao, J. Gong, W. Wang, G. Casati, J. Liu, and L. Fu, Exponential wave-packet spreading via self-interaction time modulation, Phys. Rev. A94, 053631 (2016).
- (30) W. Zhao, J. Wang, and W. Wang, Quantum-classical correspondence in a nonlinear Gross-Pitaevski system, J. Phys. A: Math. Theor. 52, 305101 (2019).
- (31) Luca D’Alessio and Marcos Rigol, Long-time Behavior of Isolated Periodically Driven Interacting Lattice Systems, Phys. Rev. X 4, 041048 (2014).
- (32) J. Dressel, J. R. González Alonso, M. Waegell, and N. Y. Halpern, Strengthening weak measurements of qubit out-of-time-order correlators, Phys. Rev. A98, 012132 (2018).
- (33) J. R. González Alonso, N. Yunger Halpern, and J. Dressel, Out-of-Time-Ordered-Correlator Quasiprobabilities Robustly Witness Scrambling Phys. Rev. Lett. 122, 040404 (2019).
- (34) See Supplementary materials for detailed derivation of the scaling of OTOCs in Eq. (S8) and the derivation of the Hamiltonian in Eq. (S4). There is numerical procedure for calculating the OTOCs and numerical results for the comparision of quantum and classical OTOCs during short time evolution.
- (35) R. Hamazaki, K. Fujimoto, and M. Ueda, Operator Noncommutativity and Irreversibility in Quantum Chaos arXiv:1807.02360 [condmat. stat-mech].
- (36) S. Dadras, A. Gresch, C. Groiseau, S. Wimberger, and G. S. Summy Quantum Walk in Momentum Space with a Bose-Einstein Condensate, Phys. Rev. Lett. , 121, 070402 (2018).
- (37) D. Y. H. Ho and J. Gong, Quantized Adiabatic Transport in Momentum Space, Phys. Rev. Lett. 109, 010601 (2012).
- (38) A. V. Andreev, A. G. Balanov, T. M. Fromhold, M. T. Greenaway, A. E. Hramov, W. Li, V. V. Makarov, A. M. Zagoskin, Emergence and Control of Complex Behaviours in Driven Systems of Interacting Qubits with Dissipation, arXiv:1907.03602 [quant-ph]
- (39) I. Guarneri, Gross-Pitaevski map as a chaotic dynamical system, Phys. Rev. E95, 032206 (2017).
- (40) N. Gisin and M. Rigo, Relevant and irrelevant nonlinear Schrodinger equations, J. Phys. A (Math. Gen.) 28, 7375 (1995).
- (41) B. V. Chirikov, A universal instability of many-dimensional oscillator systems, Phys. Rep. 52, 263 (1979).
- (42) F. Dalfovo and S. Giorgini, Theory of Bose-Einstein condensation in trapped gases, Rev. Mod. Phys. 71, 463 (1999).
- (43) A. Szameit and S. Nolte, Discrete optics in femtosecond-laser-written photonic structures, J. Phys. B 43, 163001 (2010).
- (44) S. Longhi, Many-body coherent destruction of tunneling in photonic lattices, Phys. Rev. A83, 034102 (2011).
- (45) D. Blömer, A. Szameit, F. Dreisow, T. Schreiber, S. Nolte, and A. Tünnermann, Nonlinear refractive index of fs-laser-written waveguides in fused silica, Opt. Express 14, 2151 (2006).
- (46) I. S. Aranson and L. Kramer, The world of the complex Ginzburg-Landau equation, Rev. Mod. Phys. 74, 99 (2002).
- (47) S. Inouye, M. R. Andrews, J. Stenger, H. J. Miesner, D. M. Stamper-Kurn, and W. Ketterle, Observation of Feshbach resonances in a Bose-Einstein condensate, Nature(London) 392, 151 (1998).
- (48) P. G. Kevrekidis, G. Theocharis, D. J. Frantzeskakis, and B. A. Malomed, Feshbach Resonance Management for Bose-Einstein Condensates, Phys. Rev. Lett. 90, 230401 (2003).
- (49) M. Theis, G. Thalhammer, K. Winkler, M. Hellwig, G. Ruff, R. Grimm, and J. H. Denschlag, Tuning the Scattering Length with an Optically Induced Feshbach Resonance, Phys. Rev. Lett. 93, 123001 (2004).
- (50) C. Chin, R. Grimm, P. Julienne, and E. Tiesinga, Feshbach resonances in ultracold gases, Rev. Mod. Phys. 82, 1225 (2010).
Supplemental Material:
Super-exponential scrambling of Out-of-time-ordered correlators
I S1. Details about the mathematical equivalence between the nonlinear Schrödinger system and the GKR model
The periodically modulated nonlinear Schrödinger system reads
(S1) |
For a symmetric initial state (), since the kicking evolution operator is wavefunction-dependent, the quantum state will preserve the symmetry in the duration of evolution, i.e., . The wavefunction can be expanded as , therefore one can obain
(S2) |
where
(S3) |
The expression Eq. (S3) describes the correlation of the quantum state in the momentum space. Besides, one can get Zhao16 ; Zhao19 . By plugging Eq. (S2) into Eq. (S1), we have
(S4) |
where the kicking strength . Since the term with only contributes a global phase in the evolution, which has no physical effects, we can drop it safely.
We numerically investigate the phase space of classical trajectories. Our results show that, for a specific value of , the classical phase space exhibits regular diffusion of trajectories for short time evolution (e.g., in Fig. S1(a)), the coexistence of both the regular diffusion and the chaotic diffusion for intermediate time interval (e.g., in Fig. S1(b)), and the full chaotic diffusion after long enough time evolution (e.g., in Fig. S1(c)). This clearly demonstrates the regular-to-chaotic transition of the classical dynamics, which stems from the time-dependent increase of the GKR model’s kick strength. The regular behavior leads to the early-time deviation of the Lyapunov exponent from the theoretical prediction in Eq.(18) of the main text, whose validity is guaranteed under the strong chaotic condition (see Fig.1(a) in main text).

II S2. Quantum and classical OTOCs for short time evolution
For systems described by Schrödinger equation, the quantum OTOCs are consistent with its classical counterpart, i.e., in the semiclassical limit () Rozenbaum17 ; Mata2018 . The comparison between and for our system is shown in Fig. S2. One can see that, during short time interval, the quantum OTOC is larger than its classical counterpart, which is in sharp contrast to that of the Schrödinger system Zhao16 ; Zhao19 . Unfortunately, since the wavepackets spread in the super-exponential way, the long-time evolution faces the severer computation limit on system size. Our theoretical prediction of quantum OTOCs, i.e., (see Eq.(3) in the main text), yields after long time evolution, which is consistent with the time dependence of classical OTOCs (see Eq.(9) in the main text) regardless of the factor .

III S3. Details about the quantum evolution
Since the exact form of the temporal modulation function is the periodical-delta kicks, to get the Floquet operator, one can use the standard method of the time integral. The evolution of a quantum state from to can be separated into two steps: i). the free evolution from to , where the superscripts ‘+’ (‘-’) indicate the time immediately after (before) the -th kick, i.e., ; and ii). the kick evolution during the infinitely small time interval from to , i.e., . The integral for the free evolution yields the Floquet operator . For the integral of delta kick, it is straightforward to get the Floquet operator . Then, one can get the one-period evolution operator
(S5) |
Our main result is the analytical prediction of the Super-EG scrambling of the quantum OTOCs
(S6) |
where
(S7) |
, and are prefactors and is the normalization constant of the initial state (usually ). We cannot analytically get the values of , , and the proportionality constant. To fit the numerical results in Fig. S3(a), we select a set of and a set of proportionality constants, with the aim of making the curve of the analytical formula in Eq. (S6) and the numerical results a good match. Same method is taken for the red curves in Fig.2 in the main text. Therefore, the values of , , and the proportionality constant are dependent on the value of .

IV S4. Scaling of the OTOCs
In this section, we show the scaling of the OTOCs with the dimension of the system. Theoretically, the law of time-dependent takes the form
(S8) |
where is a time-dependent coefficient, is number of basis, is a constant, and the growth rate has the expression
(S9) |
with . Equation (S8) means that, at a specific time , the scales linearly with the dimension of the system, hence it approaches to infinity with the increase of . The divergence of demonstrates that there is indeed no bound on the growth of OTOCs in our system. To verify our theoretical prediction, we numerically investigate the for different and . In numerical simulations, the initial state is a Gaussian wavepacket . Figure (S4)(a) shows that, at a specific time , the linearly increase with , which is in good agreement with our theoretical prediction in Eq. (S8).
We proceed to show the details in the numerical calculation of the OTOCs with the general definition . In our present work, we have considered two cases with and . Numerical procedures of calculating these two different OTOCs are the same. As shown in the main text, the OTOCs can be decomposed as
(S10) |
where we define the terms in the right of the above equation as
(S11) | ||||
(S12) | ||||
(S13) |
with and . There are five steps to calculate both and at a specific time :
-
(i)
select an initial state ,
-
(ii)
forward evolution yields ,
-
(iii)
at the time , exert the operator on the state and get a new state ,
-
(iv)
backward evolution yields ,
-
(v)
calculate the expectation value .
To get , at the step (i), one should exert the operator on the state , i.e., . The steps (ii)-(iv) are similar to that of calculating . At the step (v), one can obtain the term (see Eq. (S12)) by calculating the inner product of the state .
At the end of the time reversal, one can use the two state and to get the third term of the OTOCs, i.e., (see Eq. (S13)). The schematic diagram for the evolution progress of the quantum state to calculate the with is shown in Table 1.
Forward: steps | action | Backward: steps | |
Numerically, we find that both and are negligibly small compared with (see Fig. S4), which demonstrates that . Then, we proceed to theoretically evaluate the time evolution of . Equation. (S11) demonstrates that the is just the expectation value of the square of momentum for the state at the end of time reversal, i.e., . We numerically investigate the evolution of the mean square of momentum for a specific time interval . From Fig. S5(a), one can see that the values of remain almost the same during the forward evolution, i.e., . Moreover, the time evolution of the mean energy is independent on the number of basis, which demonstrates the convergence of numerical results. After the action of the operator, i.e., , however, the value of has a clear jump, namely . Interestingly, during the time reversal , the mean energy exponentially increases and has shown clear distinction for different (see Fig. S5(a)). Our theoretical prediction of the exponential increase of mean energy is
(S14) |
where is the mean energy at the time , is a constant, and the expression of the growth rate is in Eq. (S9). The detailed derivations of Eq. (S14) are provided in the following. Before that, we will first show the details for the derivation of ’s scaling in Eq. (S8).
Note that, the time reversal starts from the time (see Table. 1 for calculating ), therefore means the time . Since the time reversal lasts steps (see Table. 1), the maximum value of equals to . Accordingly, the mean energy at the end of time reversal is
(S15) |
which is just the at the time (see Eq. (S11)). Then, we get the time-dependence of the OTOCs,
(S16) |
The scaling of with results from the dependence of the mean energy on . Interestingly, we find that, at a specific time, e.g., , the increases with by the way of
(S17) |
where is a coefficient (see Fig. S5(b) for ). To reveal the mechanism of such linear scaling, we numerically investigate the distribution of wavepacket at the time in the momentum space. Our results show that, after the action of operator on a quantum state, i.e., , the momentum distribution exhibits the power-law decay (see Figs. S5(c) and (d))
(S18) |
for which the mean energy is . Then, a rigorous expression of the mean energy is since , which is confirmed by our numerical results in Fig. S5(b).

The following can explain why the power-law decayed wavefuction appears. In the momentum space, the quantum state is expressed as
(S19) |
where the matrix element of takes the form
(S20) |
The power-law decay of is a kind of long-range interaction, which effectively leads to the transition among momentum sites. Even if the quantum state is exponentially-localized in the momentum space (see Fig. S5(c)), the action of operator can induce the power-law decay of .
We further show the details for the derivation of the exponential growth of the mean energy in Eq. (S14) during the time reversal. Our previous works have it that, for strong enough nonlinear interaction, the mean energy of our system obeys the iterative equation
(S21) |
where . Note that, during the time reversal, the norm of the quantum state is a constant, i.e., . Thus, a rough estimation of the nonlinear interaction strength is with (see Table. 1 for ). From Eq. (S21), it is straightforward to get the law of the time-dependence of the mean energy
(S22) |
with
(S23) |
which is confirmed by our numerical results in Fig. S5(a).

References
- (1) W. Zhao, J. Gong, W. Wang, G. Casati, J. Liu, and L. Fu, Exponential wave-packet spreading via self-interaction time modulation, Phys. Rev. A94, 053631 (2016).
- (2) W. Zhao, J. Wang, and W. Wang, J. Phys. A: Math. Theor. Quantum-classical correspondence in a nonlinear Gross-Pitaevski system, 52 305101 (2019).
- (3) E. B. Rozenbaum, S. Ganeshan, and V. Galitski, Lyapunov Exponent and Out-of-Time-Ordered Correlator¡¯s Growth Rate in a Chaotic System, Phys. Rev. Lett. 118 086801 (2017).
- (4) I. García-Mata, M. Saraceno, R. A. Jalabert, A. J. Roncaglia, and D. A. Wisniacki, Chaos Signatures in the Short and Long Time Behavior of the Out-of-Time Ordered Correlator, Phys. Rev. Lett. 121, 210601 (2018).