Floquet dynamical quantum phase transitions in periodically quenched systems
Abstract
Dynamical quantum phase transitions (DQPTs) are characterized by nonanalytic behaviors of physical observables as functions of time. When a system is subject to time-periodic modulations, the nonanalytic signatures of its observables could recur periodically in time, leading to the phenomena of Floquet DQPTs. In this work, we systematically explore Floquet DQPTs in a class of periodically quenched one-dimensional system with chiral symmetry. By tuning the strength of quench, we find multiple Floquet DQPTs within a single driving period, with more DQPTs being observed when the system is initialized in Floquet states with larger topological invariants. Each Floquet DQPT is further accompanied by the quantized jump of a dynamical topological order parameter, whose values remain quantized in time if the underlying Floquet system is prepared in a gapped topological phase. The theory is demonstrated in a piecewise quenched lattice model, which possesses rich Floquet topological phases and is readily realizable in quantum simulators like the nitrogen-vacancy center in diamonds. Our discoveries thus open a new perspective for the Floquet engineering of DQPTs and the dynamical detection of topological phase transitions in Floquet systems.
pacs:
I Introduction
Dynamical quantum phase transitions are featured by the nonanalyticity of physical observables in time domain DQPT1 ; DQPT2 . They are usually triggered by a sudden DQPT3 ; DQPT4 ; DQPT5 ; DQPT6 ; DQPT7 ; DQPT8 ; DQPT9 ; DQPT10 ; DQPT11 or a slow DQPTSL1 ; DQPTSL2 quench across an equilibrium quantum phase transition point, and will exhibit topological signatures when the pre- and post-quench systems are set in different topological phases DTOP1 ; DTOP2 ; DTOP3 ; DTOP4 ; DTOP5 ; DTOP6 . In the past few years, various aspects of DQPTs have been explored in theory (see DQPTRev1 ; DQPTRev2 ; DQPTRev3 ; DQPTRev4 ; DQPTRev5 for reviews), and also demonstrated experimentally in a broad range of quantum simulator platforms DQPTExp1 ; DQPTExp2 ; DQPTExp3 ; DQPTExp4 ; DQPTExp5 ; DQPTExp6 ; DQPTExp7 ; DQPTExp8 ; DQPTExp9 ; DQPTExp10 ; DQPTExp11 , yielding an intriguing perspective in the classification and characterization of nonequilibrium phases of matter.
Recently, the study of DQPTs has been extended to time-periodic driven systems DQPTExp11 ; FDQPT2 ; FDQPT3 , which possess rich nonequilibrium phases like the Floquet topological matter FTP1 ; FTP2 ; FTP3 ; FTP4 ; FTP5 ; FTP6 and time crystals DTC1 ; DTC2 ; DTC3 ; DTC4 ; DTC5 . Following periodic driving fields, a different class of DQPT unique to Floquet systems has been discovered theoretically and also observed experimentally in a harmonically driven spin chain, which is thus named Floquet DQPTs DQPTExp11 . The nonanalytic cusps in the return rate of Floquet DQPTs are found to recur periodically in time with a non-decaying global profile, which is distinguished from the conventional DQPTs that are usually observable only in transient time scales DQPT1 . Moreover, when the periodically driven system is initialized in a Floquet topological phase, the Floquet DQPTs would also show topologically nontrivial signatures, characterized by the quantized jump of a dynamical topological order parameter (DTOP) at each critical time of the transition DQPTExp11 . In later studies, different aspects of Floquet DQPTs have also been explored, such as the effect of mixed state and the property of entanglement spectrum FDQPT4 ; FDQPT5 . However, all the studies on Floquet DQPTs till now focus on a specific type of driving protocol, in which the system can be described by a static effective Hamiltonian in a rotating frame DQPTExp11 ; FDQPT4 ; FDQPT5 . Therefore, richer signatures of Floquet DQPTs under more general driving schemes have not been revealed. For example, is it possible to induce several Floquet DQPTs within a single driving period, making the nonanalytic cusps in the rate function of return probability to form a “sublattice structure in time”? Besides, are there any differences in DQPTs between systems initialized in Floquet phases with small and large topological invariants? Moreover, compared to the cases following a sudden or a slow quantum quench, much less about DQPTs is known when the quenches are applied over finite time durations DQPTFT1 ; DQPTFT2 . The resolution of these issues would further uncover the intrinsic properties of Floquet DQPTs, and establish their connections with Floquet topological matter and other nonequilibrium dynamical phenomena.
Motivated by these considerations, we explore Floquet DQPTs in a general class of periodically quenched lattice model, which possesses the chiral (sublattice) symmetry at each instant of time. In Sec. II, we introduce our theoretical framework, which shows that multiple Floquet DQPTs can indeed emerge within a single driving period under large quench amplitudes. Furthermore, a DTOP for Floquet DQPTs can be constructed from the noncyclic geometric phase of the evolving Floquet states DQPTExp11 . The DTOP shows a quantized jump whenever a Floquet DQPT happens, and remains to be an integer otherwise if the system is initially prepared in a gapped Floquet topological phase. Specially, the DTOP could take non-quantized values in certain time domains if the initial state of the system belongs to a gapless Floquet phase. One can therefore employ the DTOP to identify the boundaries between different Floquet topological phases. In Sec. III, we demonstrate our theory in a prototypical and experimentally realizable periodically quenched lattice model, unveiling the rich signatures of Floquet DQPTs by detailed analytical and numerical calculations. In Sec. IV, we summarize our results and discuss potential future directions.
II Theory
In this section, we introduce our theory for the description of Floquet DQPTs in a typical class of periodically quenched system. Throughout our discussion, we will set the Planck constant and the driving period in dimensionless units.
II.1 Setup and Floquet dynamics
In momentum presentation, the time-dependent Hamiltonian of our periodically quenched lattice takes the form
(1) |
Here is the quasimomentum defined in the first Brillouin zone. counts the number of driving periods. are Pauli matrices in their usual representations, and we will denote the identity matrix as . It is clear that is periodic in time with the period , i.e., . We will also use the symbol to denote the time within a driving period, i.e., the micromotion time, so that any physical time can be decomposed as
(2) |
Meanwhile, according to Eq. (1), has the chiral symmetry at any instant of time, i.e., and . This allows one to characterize the topological phases of the system by integer winding numbers AsbothSTF1 ; ZhouSQKR ; ZhouDSCL . Note in passing that Eq. (1) represents one of the typical quench protocols for the realization of one-dimensional (1D) Floquet systems with chiral (sublattice) symmetry and nontrivial topological properties. The Pauli matrices in Eq. (1) can be replaced by any two of the three Pauli spins , and can be arbitrary functions of the quasimomentum . Various other periodic kicking or quenching protocols for 1D chiral symmetric lattice models can be reduced to the form of Eq. (1), such as those reported in Refs. AsbothSTF1 ; ZhouSQKR . Therefore, the theoretical framework developed here is expected to be appliable to Floquet DQPTs in a broad range of periodically quenched and continuously driven DQPTExp11 chiral symmetric two-band systems.
We are interested in such a dynamical process, in which the system is initialized in a uniformly filled Floquet band and then undergoes nonequilibrium evolution governed by the piecewise quenched . The initial state of the system is obtained by solving the Floquet eigenvalue equation , where is the Floquet eigenstate with eigenphase . The Floquet operator , referring to the evolution operator of the system over a complete driving period (e.g., from to ), takes the form
(3) |
according to Eq. (1). Taking the Taylor expansion of the two terms on the right hand side of Eq. (3), we can express equivalently as
(4) |
which can be further recast into a single exponential form as
(5) |
Here the eigenphase dispersion reads
(6) |
, and the components of unit vector are explicitly given by
(7) | ||||
We could then obtain the Floquet eigenstates by solving the eigenvalue equation of the effective Floquet Hamiltonian, i.e.,
(8) |
where the effective Hamiltonian and eigenphase bands are given by
(9) |
and the explicit expressions of Floquet eigenstates are found to be
(10) |
where will be used to denote the signs of the eigenphase dispersions . With these considerations, the time evolution operator of the system from time to a later time [see Eq. (2)] can be written as , where
(11) |
Here is the Floquet operator of the system over a complete driving period, as given by Eq. (3) Note1 . The evolution of a Floquet eigenstate () from to is then described by , which can be expressed more explicitly as
(12) |
for and
(13) |
for , respectively. Since in Eq. (10) form a complete and orthonormal basis, the dynamics of our periodically quenched system is completely solved by Eqs. (12)-(13) once the explicit expressions of and are specified.
II.2 Return amplitude and conditions of Floquet DQPTs
With these preparations, we can now investigate the Floquet DQPTs in our class of piecewise quenched system. The central object in the study of DQPTs is the return amplitude (or return probability), which may be viewed as a dynamical version of the partition function DQPTRev1 . For an evolution from time to [see Eq. (2)], the return amplitude of a single Floquet-Bloch state () is given by
(14) |
where
(15) |
describes the return amplitude of initial state at a given in micromotion time . Following the theory of Floquet DQPTs DQPTExp11 , if a state with happens to evolve to its orthogonal state at a critical time , we will have , and the rate function of return probability (to be defined later) will become nonanalytic in the thermodynamic limit, signifying Floquet DQPTs at time for all .
The conditions of Floquet DQPTs are determined by the expressions of critical momentum and critical time . For our periodically quenched system, the forms of and can be found analytically. Using Eqs. (12)-(15) and the fact that for [see Eq. (7) for ], we find that
(16) |
where , and are the components of unit vector in Eq. (7). The expressions of and are then determined by the solutions of , yielding the following two sets of critical conditions
(17) |
for and . Here and Eq. (7) has been used to reach the second equality in each set of condition. Note that these conditions do not depend on the values of (), implying that we would have the same Floquet DQPT conditions for the initial state being prepared in either Floquet band. By straightforward calculations, we see that in each half of the driving period, the condition in Eq. (17) generates two possible sets of solutions for the critical momenta and time. For , we have if
(18) |
or
(19) |
For , we have if
(20) |
or
(21) |
where . Given the explicit forms of and , these conditions then determine all possible critical momenta and critical time () of Floquet DQPTs in the class of periodically quenched systems considered in this work. Note in passing that the critical time in Eqs. (18) and (20) take universal forms and independent of the explicit expressions of and , which indicates their connections with the global nature of the underlying Floquet states. In the meantime, we notice that when the Floquet eigenphase spectrum of the system becomes gapless, i.e., when or in Eq. (6), we would obtain
(22) |
where the set gives the locations at which the eigenphase band-gap closes in -space, which is usually accompanied by a transition between different Floquet topological phases ZhouSQKR . From Eqs. (18) and (20), it is clear that once in Eq. (22), the gapless quasimomenta of the Floquet spectrum are also critical momenta of the Floquet DQPTs, yielding critical times at and within a driving period. Since the set is generally different for different values of in Eq. (22), the possible critical momenta and critical times in Eqs. (18) and (20) will also be different in general when the system is initialized in different Floquet topological phases. This allows one to discriminate Floquet topological phases from the behaviors of Floquet DQPTs, thus extending the connection between Floquet DQPTs and Floquet topological matter found in Ref. DQPTExp11 to more general situations.
II.3 Rate function of return probability
We next introduce the rate function of return probability, which is the observable to show the time-domain nonanalyticity of Floquet DQPTs explicitly. Following Eq. (14), the return probability of a Floquet state () evolved from time zero to is given by
(23) |
where
(24) |
and for , . It is clear that possesses the same temporal periodicity as the system Hamiltonian, i.e., . The complete behavior of at any time is then determined once is obtained. For our periodically quenched system, takes the following explicit form according to Eq. (16)
(25) |
where . Again, we notice that is independent of (), i.e., in which band the system is initialized, and at each given set of critical momentum and time in Eqs. (18)-(21). The latter suggests us to consider the rate function of return probability , defined as
(26) |
where is the number of degrees of freedom in the system (e.g., the number of unit cells), which is taken to be infinity in the thermodynamic limit. We have also denoted by in Eq. (26), as the former is independent of . The rate function thus defined may then be viewed as a “free energy density” of the Floquet dynamics. Since is a periodic function of time with the period , i.e., , we have for any time with and that
(27) |
If vanishes at certain critical time and momentum , will diverge, and after the integration over , could become nonanalytic at time for all , which are referred to as Floquet DQPTs. For 1D systems, a Floquet DQPT is usually manifested as a cusp in the profile of around DQPTExp11 . Using Eqs. (25) and (27), we can further obtain the explicit expression of the return rate function for our periodically quenched system, i.e.,
(28) |
for and , respectively. The profile of over a driving period then contains all the information about the time-domain nonanalytic properties of Floquet DQPTs.
II.4 Geometric phase and DTOP
In previous studies, dynamical topological order parameters (DTOPs) have been introduced to characterize DQPTs following a sudden quench DTOP1 ; DTOP2 , or Floquet DQPTs induced by harmonic driving fields DQPTExp11 . The values of a DTOP, obtained from the winding number of the noncyclic (Pancharatnam) geometric phase of the evolving state over the first Brillouin zone at each time, usually show a quantized jump at every critical time of a DQPT or Floquet DQPT, and remain quantized otherwise. It thus plays the role of a topological order parameter of the dynamics. In this work, we extend the DTOP-characterization of Floquet DQPTs to our periodically quenched setting.
The noncyclic geometric phase is given by the difference between the total phase and dynamical phase of the return amplitude (). Following Eq. (15), the total phase is
(29) |
where we have set for and to reach the second equality. Using Eq. (16), we obtain the micromotion part of the total phase for our periodically quenched setting as
(30) |
for and , respectively. The dynamical phase of the return amplitude is defined as
(31) |
Using the time-periodicity of Hamiltonian and the direct result of Floquet theorem , can be further expressed as
(32) |
where we have set with and on the right hand side of the equality. For our periodically quenched system, we find with the help of Eqs. (1), (10), (12) and (13) that and
(33) |
where . Note that the dynamical phase is closely related to the relative angle between the components of the time-dependent Hamiltonian and the components of the Floquet effective Hamiltonian in each half of the driving period. Taking the difference between the total phase and dynamical phase, we find the noncyclic geometric phase DQPTExp11 to be
(34) |
whose explicit expression for our periodically quenched system can be obtained directly from Eqs. (29)-(33). At a fixed time , the winding number of in -space then determines the DTOP , given by
(35) |
When the evolution of the system passes a critical time of the Floquet DQPTs, the value of is expected to show a quantized jump DQPTExp11 , i.e.,
(36) |
where the exact amount of jump depends on the configuration of the critical momenta set in the first Brillouin zone. For certain specific models, the integration range of in Eq. (36) could be chosen as a subset of the first Brillouin zone due to the possible translation and reflection symmetries of in -space. For example, if we have for , both and will be invariant under the translation over in -space, and the same is true for . So the range of integration in Eq. (36) can be confined to in this case. More examples about the reduction of integration range in the calculation of will be made clear in the next section.
To sum up, we have established a theoretical framework to analyze Floquet DQPTs in a typical class of periodically quenched lattice model. The critical conditions as summarized in Eqs. (18)-(21) clearly suggest that by enlarging the amplitudes of quench functions and , the exact number of Floquet DQPTs that could occur in each driving periodic can be put under flexible control. This highlights one of the key advantages of Floquet engineering in the realization of DQPTs. Besides, we have observed the connection between Floquet DQPTs and the underlying Floquet topological phases of the periodically quenched system, and also introduced a DTOP to characterize the topological signatures of Floquet DQPTs. In the following section, we will demonstrate our results with a prototypical periodically quenched lattice model, which is rich in Floquet DQPTs and experimentally realizable at the same time.
III Results
In this section, we demonstrate our theoretical scheme of Floquet DQPTs in a piecewise quenched lattice (PQL) model, which possesses rich Floquet topological phases and also being realizable in quantum simulator setups.
III.1 The PQL model
Our explicit model is obtained by setting
(37) |
in the general Hamiltonian Eq. (1), leading to the Floquet operator
(38) |
Here the parameters and control the amplitudes of the two quenches within each half of the driving period. Physically, they can be interpreted as the kicking strengths of a spin- quantum kicked rotor ZhouSQKR , or the hopping amplitudes of a particle on a tight-binding lattice ZhouDWN . In the former case, the system may be realized by the setup proposed in Refs. SQKRExp1 ; SQKRExp2 , which achieves the quantum walk in momentum space by 87Rb BEC atoms. In the latter case, the system may be realized by replacing the harmonic driving fields with square-wave pulses in the NV center experimental setup of Refs. DQPTExp11 ; ZhouGTPExp . Theoretically, rich Floquet topological phases have been identified in this model, which are characterized by larger topological invariants and multiple topological edge modes ZhouSQKR . This further motivates us to choose this model as our working example to demonstrate the key features of Floquet DQPTs in periodically quenched systems.
From now on, we take the quench amplitudes without loss of generality. Using Eqs. (37) and (38), the Floquet operator can be written in a single exponential form as , where and the unit vector , with
(39) | ||||
The Floquet effective Hamiltonian then takes the form , with the corresponding eigenvalue equation , whose explicit solutions are given by Eq. (10). Following Eq. (22), the gapless quasimomenta of the model satisfy and for , yielding the curves that describing the boundaries between different Floquet topological phases, i.e., for and ZhouSQKR . According to the discussion in the last section, the solutions of also generate a set of critical momenta for the Floquet DQPTs when .
Using Eqs. (18)-(21), we could obtain the solutions of critical momenta and critical times for the PQL model if the system is initialized in a Floquet eigenstate. In the first half of a driving period, i.e., for , the set of satisfy
(40) |
or
(41) |
Similarly, in the second half of a driving period, i.e., for , the set satisfy
(42) |
or
(43) |
Eqs. (40)-(43) provide us with analytical solutions for all possible critical momenta and critical times () of the Floquet DQPTs in the PQL model. The notable connection between the expressions of in Eqs. (40), (42) and the gapless quasimomentum satisfying for also allows one to obtain qualitatively different patterns of Floquet DQPTs in different Floquet topological phases of the PQL model, as will be demonstrated explicitly by numerical calculations.
III.2 Numerical results
In the following, we present typical examples of Floquet DQPTs in the PQL model by evaluating the rate function of return probability in Eq. (26), noncyclic geometric phase in Eq. (34) and DTOP in Eq. (35). We first evolve the system according to Eq. (23) for each Floquet eigenstate, and then obtain the return rate from Eq. (26) by numerically evaluating the integral over quasimomentum . The geometric phase is obtained by taking the difference between the total phase and the dynamical phase of the return amplitude following Eqs. (29) and (31). After numerically obtaining the geometric phase, we compute the DTOP in terms of Eq. (35). In the computation of the integral, grids in -space is taken, which is enough for the convergence of the numerical data in order to reproduce the nonanalytic signals of Floquet DQPTs in the thermodynamic limit (corresponding to ). Note that for the PQL model, we have for according to Eq. (37), implying that the geometric phase has a translational symmetry over in -space. Furthermore, since [] and [] are even (odd) functions of , the geometric phase also has a reflection symmetry with respect to according to Eqs. (30), (33) and (34). Therefore, in the calculation of DTOP in Eq. (35) for the PQL model, we could restrict the range of integration over to one quarter of the first Brillouin zone, e.g., . As a further simplification, we notice that the order of the two quenches are swapped under the combined effects of parameter exchange and momentum shift . The result of such a swap is simply a shifting of the Floquet DQPTs from one half of the driving period to the other half, as directly deducible from Eq. (28). Therefore, for , the Floquet DQPTs in the system with and can be directly related with each other. For , each Floquet DQPT happens at the micromotion time has a mirror that happens at for all with .



In the first set of results, we consider the initial state of the PQL model to be prepared in the Floquet band with quasienergy at each quasimomentum , and present the rate function of return probability [Eq. (28)], noncyclic geometric phase [Eq. (34)] and DTOP [Eq. (35)] versus time over a driving period in Figs. 1, 2 and 3, respectively. The system parameters are set as for all figure panels and in the panels (a), (b), (c) and (d) of each figure, respectively. According to Ref. ZhouSQKR , the PQL model with these four sets of system parameters belong to four different Floquet topological phases, with larger topological invariants at larger values of . In Fig. 1, we observe that with the increase of , the system undergoes more and more Floquet DQPTs within a single driving period, with a cusp observed at every critical time of the DQPT. The possible values of critical times are predicted precisely by the critical condition in Eq. (42), whose solutions of are closely related to the gapless quasimomenta of the system. Specially, more Floquet DQPTs are observed when the initial phase of the PQL model carries larger topological invariants (see the phase diagram in Fig. 1 of Ref. ZhouSQKR ). This implies the possibility of discriminating different Floquet topological phases of the PQL model from Floquet DQPTs, and also introduces a route to engineer more Floquet DQPTs in a finite time window with the help of Floquet topological phases. Besides, the global profiles of in Fig. 1 do not decay with time thanks to the applied driving field, which allow us to observe and detect the nonanalytic signatures of Floquet DQPTs in a larger time window compared with the case in conventional DQPTs following a single quench DQPTRev1 . The noncyclic geometric phase , as presented in Fig. 2 also possesses a -jump around the critical momenta (red dashed lines) at each critical time (black dash-dotted lines), reflecting the discontinuity in the time-derivatives of the rate function at the Floquet DQPTs. After the integration over , the -change of (corresponding to the sudden change of colors from dark blue to dark yellow or the opposite in each figure panel) finally leads to the integer quantized jump of DTOP at each critical time (black dash-dotted lines) of the Floquet DQPT, as presented in Fig. 3. Except at the critical times, the DTOP remain quantized over other time durations, and thus playing the role of a topological order parameter for Floquet DQPTs. Notably, in Figs. 3(c) and 3(d), possesses a change at . Such a jump of DTOP in a step bigger than is not observed in DQPTs following a single quantum quench, and may thus be a unique feature of DQPTs following time-periodic drivings or other more complicated nonequilibrium protocols.



In the second set of results, we still prepare the initial state of the system in the Floquet band of the PQL model with negative eigenphases at all , and investigate the Floquet DQPTs following quenches over a complete driving period. The quench amplitudes are chosen as , , and for the results presented in panels (a), (b), (c) and (d), respectively, of the Figs. 4, 5 and 6. In panels (a)-(d) of Fig. 4, we observe Floquet DQPTs within each half of the driving period, with the critical times (black dash-dotted lines) determined analytically by Eqs. (40)-(43). Notably, when , we found the critical times to be symmetric with respect to , which is originated from the symmetry of the rate function under the exchange of quenching amplitudes and , as discussed before in this subsection. Besides, we also observe the general tendency of having more Floquet DQPTs under larger quenching amplitudes, which again highlights the flexibility of the Floquet approach in the engineering and control of DQPTs within a finite time domain. In Fig. 5, we observe that the noncyclic geometric phase develops a -jump around (red dashed lines) every time when the system evolves across a critical time (black dash-dotted lines) in each figure panel (corresponding to the sudden change of colors from dark blue to dark yellow or the opposite), which provide geometric signatures of the nonanalyticity for Floquet DQPTs. Finally, in Fig. 6, we present the DTOP versus time over a driving period, as obtained from Eq. (35). In Figs. 6(a), (b) and (d), the PQL system is initialized in different Floquet topological phases ZhouSQKR , and the qualitatively different behaviors of again allow us to distinguish different Floquet topological phases with the help of Floquet DQPTs. Interestingly, we observe anomalous behaviors in the DTOP in Fig. 6(c), in the sense that it either changes smoothly in certain time windows (but still with quantized jumps at the critical times), or shows no signatures of jump across certain critical times. The underlying reason behind such an anomaly is that for the case considered in Fig. 6(c), the system is initialized in a gapless Floquet phase, instead of a gapped “ground state” usually employed in the study of DQPTs. Therefore, the Floquet DQPTs could also provide us with a useful dynamical tool to locate the phase boundaries between different Floquet topological matter. For completeness, we have also explored the Floquet DQPTs in other parameter domains of the PQL model, and obtained results that are consistent with the general principles as presented in this section, thus verifying the theoretical framework introduced in Sec. II of this work. As a final comment, for initial states prepared in topologically trivial Floquet phases, no signatures of Floquet DQPTs have been reported in the previous study DQPTExp11 . However, this does not exclude the possibility of observing Floquet DQPTs in systems prepared at trivial initial states, as also notified before in the study of non-Floquet DQPTs following a single quench DTOP2 . Therefore, the most general relationship between the topological nature of Floquet states and Floquet DQPTs deserves more investigations, which will be left for future studies.
IV Summary
In this work, we introduced a framework to describe Floquet DQPTs in periodically quenched 1D systems with chiral symmetry. Within a driving period, we observed a series of Floquet DQPTs, which are characterized by cusps in the rate function of return probability with a non-decaying global profile, and quantized jumps of the dynamical topological order parameter (DTOP). These nonanalytic features all repeat periodically in time with the same period as the driving field. Via tuning the strengths of quenches, both the critical momenta, critical times and number of Floquet DQPTs within a driving period can be put under flexible control, revealing the advantage of Floquet engineering in the realization of DQPTs. Furthermore, the DTOP behaves differently when the underlying Floquet system is prepared in a gapped topological phase or in a gapless phase, and can thus be used as an efficient probe to the topological phase transitions in Floquet systems. Our theoretical scheme is further verified in a prototypical piecewise quenched lattice model, which holds rich Floquet topological phases and phase transitions ZhouSQKR .
By changing the driving field realized in Ref. DQPTExp11 from the harmonic form to the square-wave form, we expect our predicted signatures of Floquet DQPTs to be readily detectable in the setup containing an NV center in diamond DQPTExp11 ; ZhouGTPExp . In the experiment reported in Ref. DQPTExp11 , the finite coherence time of electron spin and the imperfection of microwave pulses may cause uncertainties. The nearly vanishing return probabilities around the critical points of Floquet DQPTs could also introduce some errors in the measurement of rate function at the critical times. However, the main features of Floquet DQPTs in connection with cusps in the rate function and jumps in the DTOP could still be clearly seen over a time window of three driving periods (s), as shown in Ref. DQPTExp11 . Such a time window is long enough for one to observe Floquet DQPTs in periodically quenched systems, and the lifetime of Floquet states is also comparable to the observed time of Floquet DQPTs in the experiment DQPTExp11 . Very recently, the periodically quenched lattice model introduced in Eq. (38) have been simulated experimentally, and its Floquet topological phases have also been observed in Ref. MFarXiv2020 with an NV center setup by measuring the time-averaged spin textures. Specially, the coupling strengths can reach in dimensionless units in the experiment of Ref. MFarXiv2020 , which is enough for one to observe the high values of DTOP reported in Fig. 3. It is clear that the same experimental setting can also be used to detect the Floquet DQPTs predicted in this work.
Putting together, our discoveries uncover the nonanalytic, geometric and topological nature of Floquet DQPTs in periodically quenched systems, which not only go beyond the conventional studies of DQPTs in sudden-quench and slow-quench settings, but also emphasize the power of Floquet engineering in controlling DQPTs and the usefulness of DQPTs in detecting topological phases and phase transitions in Floquet systems. In future work, it would be interesting to extend our framework to Floquet systems with more complicated driving protocols, non-Hermitian Floquet systems DQPT3 ; NHFDQPT1 ; NHFDQPT2 ; NHFDQPT3 ; NHFDQPT4 ; NHFDQPT5 ; NHFDQPT6 ; NHFDQPT7 ; NHFDQPT8 , multiband systems DQPTMultiBand , many-particle Floquet systems with disorder and many-body interactions, and checking the existence and robustness of Floquet DQPTs in these complicated settings.
Acknowledgement
L.Z. is supported by the National Natural Science Foundation of China (Grant No. 11905211), the China Postdoctoral Science Foundation (Grant No. 2019M662444), the Fundamental Research Funds for the Central Universities (Grant No. 841912009), the Young Talents Project at Ocean University of China (Grant No. 861801013196), and the Applied Research Project of Postdoctoral Fellows in Qingdao (Grant No. 861905040009).
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