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Disordered Kicked Ising Model (KIM)

Updated 16 July 2026
  • Disordered KIM is a family of periodically driven spin-½ systems where disorder is introduced via quenched fields, bond couplings, or irregular kick parameters.
  • The model employs self-dual and dual-unitary constructions that enable exact spectral analyses, revealing ergodic-to-MBL transitions and finite-size scaling behaviors.
  • KIM serves as a testbed for quantum chaos, robust energy charging, and advanced numerical methods, bridging theoretical insights with quantum hardware experiments.

The disordered kicked Ising model (KIM) is a family of periodically driven spin-12\tfrac12 systems in which an Ising interaction layer is alternated with a kick layer, and disorder is introduced through quenched fields, bond couplings, or irregular kick parameters. Across the literature, it functions simultaneously as a model of quantum chaos, a testbed for Floquet many-body localization (MBL), a setting for exact self-dual or dual-unitary constructions, and, more recently, a platform for disorder-resilient quantum charging. Representative formulations include one-dimensional chains with random longitudinal fields and transverse kicks, self-dual kicked Ising batteries with coupling disorder, and hardware-oriented Floquet circuits on heavy-hex lattices with disordered transverse fields (Sierant et al., 2022, Waltner et al., 2021, Gupta et al., 18 Jun 2025, Romero et al., 21 Nov 2025, Hayata et al., 2 Oct 2025).

1. Model class and disorder mechanisms

In the one-dimensional Floquet formulation used for MBL studies, the basic unitary over one period is

U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],

with periodic boundary conditions σL+1zσ1z\sigma_{L+1}^z\equiv \sigma_1^z, and hjh_j independent quenched random variables. A frequently studied parametrization sets g=J=1/Wg=J=1/W, so that increasing WW suppresses the coherent couplings relative to the random longitudinal fields (Sierant et al., 2022).

A closely related ring geometry is written as

U^=eiJnσ^nzσ^n+1zeinhnσ^nzei(π/4)nσ^nx,\hat U = e^{-iJ\sum_n \hat\sigma_n^z\hat\sigma_{n+1}^z}\, e^{-i\sum_n h_n\hat\sigma_n^z}\, e^{-i(\pi/4)\sum_n \hat\sigma_n^x},

with strong disorder in the hnh_n and the transverse kick fixed at bx=π/4b_x=\pi/4. This version is central in dual-operator analyses of ergodic versus localized behavior and in spectral-form-factor studies (Waltner et al., 2021).

In the self-dual kicked-Ising quantum-battery construction, the time-dependent Hamiltonian is written as

H(t)=H0+λ(t)[HI+HKtiTδ(tti)H0].H(t)=H_0+\lambda(t)\big[H_I+H_K\sum_{t_i\in\mathcal T}\delta(t-t_i)-H_0\big].

Two charger variants are emphasized: U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],0 and

U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],1

Here disorder is primarily introduced through the bonds,

U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],2

with optional field disorder U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],3 (Romero et al., 21 Nov 2025).

A hardware-oriented two-dimensional Floquet version on a heavy-hex graph uses

U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],4

with

U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],5

In that setting the disorder resides exclusively in the U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],6-field layer (Hayata et al., 2 Oct 2025).

An older, distinct notion of disorder replaces quenched spatial randomness by spin-dependent irregular kick trains. There the disorder is encoded in kick strengths U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],7 and delays U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],8, generated by classical processes on the torus and transmitted along an open Ising chain through the monodromy operator of each period (Aubourg et al., 2014). Taken together, these formulations show that “disordered KIM” is not a single Hamiltonian but a structured class of Floquet Ising systems with several inequivalent disorder protocols.

2. Self-duality, dual operators, and exact structures

A central organizing feature is the self-dual, or dual-unitary, point. In the spectral-statistics formulation with interaction

U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],9

the one-period unitary is

σL+1zσ1z\sigma_{L+1}^z\equiv \sigma_1^z0

and the self-dual point is

σL+1zσ1z\sigma_{L+1}^z\equiv \sigma_1^z1

At this point, the temporal dual transfer matrix becomes unitary, enabling exact counting of unimodular eigenvalues and an exact spectral-form-factor ramp in the thermodynamic limit (Gupta et al., 18 Jun 2025).

The dual formulation rewrites σL+1zσ1z\sigma_{L+1}^z\equiv \sigma_1^z2 as the partition function of a complex-weight two-dimensional Ising model on a σL+1zσ1z\sigma_{L+1}^z\equiv \sigma_1^z3 lattice. Disorder-averaged spectral information is then encoded in an averaged transfer matrix

σL+1zσ1z\sigma_{L+1}^z\equiv \sigma_1^z4

with

σL+1zσ1z\sigma_{L+1}^z\equiv \sigma_1^z5

This representation makes disorder averaging nonperturbative and exposes the role of symmetries and boundary conditions (Gupta et al., 18 Jun 2025).

A complementary dual-operator construction for the spectral form factor uses

σL+1zσ1z\sigma_{L+1}^z\equiv \sigma_1^z6

In the thermodynamic limit only the largest-magnitude eigenvalue σL+1zσ1z\sigma_{L+1}^z\equiv \sigma_1^z7 survives. The criterion is operational: σL+1zσ1z\sigma_{L+1}^z\equiv \sigma_1^z8 is associated with ergodic behavior and GOE-like spectral form factors, whereas σL+1zσ1z\sigma_{L+1}^z\equiv \sigma_1^z9 and gapped from the rest implies exponential-in-hjh_j0 growth of hjh_j1, signaling localized behavior (Waltner et al., 2021).

In the kicked-Ising quantum-battery setting, the self-dual regime occurs at

hjh_j2

or, for non-uniform kick intervals hjh_j3, whenever

hjh_j4

At these values, the Floquet unitary factorizes into Clifford unitaries and the stroboscopic dynamics is exactly represented by a Clifford quantum cellular automaton. In momentum space, each pseudomomentum mode evolves via a hjh_j5 Floquet matrix hjh_j6 with

hjh_j7

and the Cayley–Hamilton theorem yields

hjh_j8

This exact modewise structure underlies closed-form expressions for energy injection and correlators (Romero et al., 21 Nov 2025).

3. Ergodicity, localization, and Floquet-MBL diagnostics

The disordered KIM is one of the most studied Floquet settings for the ergodic-to-MBL crossover. In the one-dimensional chain with hjh_j9, several diagnostics were computed from disorder-averaged eigenstates near eigenphase g=J=1/Wg=J=1/W0: the adjacent-gap ratio g=J=1/Wg=J=1/W1, the rescaled half-chain entanglement entropy g=J=1/Wg=J=1/W2, the Schmidt gap g=J=1/Wg=J=1/W3, a spin stiffness g=J=1/Wg=J=1/W4, and the rescaled quantum mutual information g=J=1/Wg=J=1/W5. The limiting benchmarks are g=J=1/Wg=J=1/W6 in the ergodic regime and g=J=1/Wg=J=1/W7 in the localized regime. In KIM, g=J=1/Wg=J=1/W8 interpolates between these values, g=J=1/Wg=J=1/W9 deep in MBL, WW0 exhibits a pronounced maximum near the crossover, and WW1 and WW2 remain much larger and weakly WW3-dependent beyond WW4 (Sierant et al., 2022).

Finite-size trends are notably milder than in random-field XXZ chains. For KIM, crossing points WW5 extracted from WW6, WW7, and WW8 are consistently fitted by low-order polynomials in WW9, yielding

U^=eiJnσ^nzσ^n+1zeinhnσ^nzei(π/4)nσ^nx,\hat U = e^{-iJ\sum_n \hat\sigma_n^z\hat\sigma_{n+1}^z}\, e^{-i\sum_n h_n\hat\sigma_n^z}\, e^{-i(\pi/4)\sum_n \hat\sigma_n^x},0

The characteristic scale is U^=eiJnσ^nzσ^n+1zeinhnσ^nzei(π/4)nσ^nx,\hat U = e^{-iJ\sum_n \hat\sigma_n^z\hat\sigma_{n+1}^z}\, e^{-i\sum_n h_n\hat\sigma_n^z}\, e^{-i(\pi/4)\sum_n \hat\sigma_n^x},1, compared with U^=eiJnσ^nzσ^n+1zeinhnσ^nzei(π/4)nσ^nx,\hat U = e^{-iJ\sum_n \hat\sigma_n^z\hat\sigma_{n+1}^z}\, e^{-i\sum_n h_n\hat\sigma_n^z}\, e^{-i(\pi/4)\sum_n \hat\sigma_n^x},2, and a finite-size-scaling analysis based on U^=eiJnσ^nzσ^n+1zeinhnσ^nzei(π/4)nσ^nx,\hat U = e^{-iJ\sum_n \hat\sigma_n^z\hat\sigma_{n+1}^z}\, e^{-i\sum_n h_n\hat\sigma_n^z}\, e^{-i(\pi/4)\sum_n \hat\sigma_n^x},3 gives

U^=eiJnσ^nzσ^n+1zeinhnσ^nzei(π/4)nσ^nx,\hat U = e^{-iJ\sum_n \hat\sigma_n^z\hat\sigma_{n+1}^z}\, e^{-i\sum_n h_n\hat\sigma_n^z}\, e^{-i(\pi/4)\sum_n \hat\sigma_n^x},4

consistent with the Harris criterion in one dimension (Sierant et al., 2022).

The dual-operator approach gives a dynamical interpretation of the same crossover. Near the noninteracting limit U^=eiJnσ^nzσ^n+1zeinhnσ^nzei(π/4)nσ^nx,\hat U = e^{-iJ\sum_n \hat\sigma_n^z\hat\sigma_{n+1}^z}\, e^{-i\sum_n h_n\hat\sigma_n^z}\, e^{-i(\pi/4)\sum_n \hat\sigma_n^x},5, the dominant eigenvalue has the exact strong-disorder expression

U^=eiJnσ^nzσ^n+1zeinhnσ^nzei(π/4)nσ^nx,\hat U = e^{-iJ\sum_n \hat\sigma_n^z\hat\sigma_{n+1}^z}\, e^{-i\sum_n h_n\hat\sigma_n^z}\, e^{-i(\pi/4)\sum_n \hat\sigma_n^x},6

with U^=eiJnσ^nzσ^n+1zeinhnσ^nzei(π/4)nσ^nx,\hat U = e^{-iJ\sum_n \hat\sigma_n^z\hat\sigma_{n+1}^z}\, e^{-i\sum_n h_n\hat\sigma_n^z}\, e^{-i(\pi/4)\sum_n \hat\sigma_n^x},7, U^=eiJnσ^nzσ^n+1zeinhnσ^nzei(π/4)nσ^nx,\hat U = e^{-iJ\sum_n \hat\sigma_n^z\hat\sigma_{n+1}^z}\, e^{-i\sum_n h_n\hat\sigma_n^z}\, e^{-i(\pi/4)\sum_n \hat\sigma_n^x},8, and large-U^=eiJnσ^nzσ^n+1zeinhnσ^nzei(π/4)nσ^nx,\hat U = e^{-iJ\sum_n \hat\sigma_n^z\hat\sigma_{n+1}^z}\, e^{-i\sum_n h_n\hat\sigma_n^z}\, e^{-i(\pi/4)\sum_n \hat\sigma_n^x},9 asymptotics

hnh_n0

After smoothing over the period-4 oscillations set by hnh_n1, the extracted hnh_n2 decays toward hnh_n3 in the ergodic regime, and the associated Thouless time obeys

hnh_n4

For hnh_n5, the inferred threshold is hnh_n6: below it the model is localized at short times and ergodic at longer times, whereas above it the localized behavior persists for all accessible times (Waltner et al., 2021).

A distinct hardware study on a 60-qubit heavy-hex lattice identified the crossover using late-time out-of-time-ordered correlators (OTOCs). For

hnh_n7

the operational crossover scale was defined by the maximal slope of the normalized OTOC at hnh_n8 and graph distance hnh_n9,

bx=π/4b_x=\pi/40

This number is formulation-specific rather than universal: it belongs to a different geometry and disorder protocol than the one-dimensional bx=π/4b_x=\pi/41 estimate (Hayata et al., 2 Oct 2025).

The stability of Floquet MBL remains an open issue in the thermodynamic limit and in higher dimensions. The literature summarized here is careful on this point: finite-size extrapolations are consistent and cross-diagnostic, but they do not constitute a mathematical proof that the extrapolated bx=π/4b_x=\pi/42 equals the true asymptotic critical disorder, and higher-dimensional stability is explicitly left open (Sierant et al., 2022, Hayata et al., 2 Oct 2025).

4. Spectral statistics and the effect of boundary conditions

The spectral form factor

bx=π/4b_x=\pi/43

is a primary diagnostic of spectral correlations in KIM. At the self-dual point and for odd bx=π/4b_x=\pi/44, the thermodynamic-limit result is

bx=π/4b_x=\pi/45

This reproduces the leading COE ramp bx=π/4b_x=\pi/46 for bx=π/4b_x=\pi/47, but higher moments reveal a much finer universality structure (Gupta et al., 18 Jun 2025).

The decisive distinction is between periodic and open boundaries. Under periodic boundary conditions at the self-dual point, an additional conjugation symmetry,

bx=π/4b_x=\pi/48

forces bx=π/4b_x=\pi/49 to behave as a real Gaussian random variable. Consequently,

H(t)=H0+λ(t)[HI+HKtiTδ(tti)H0].H(t)=H_0+\lambda(t)\big[H_I+H_K\sum_{t_i\in\mathcal T}\delta(t-t_i)-H_0\big].0

Under open boundary conditions, by contrast, H(t)=H0+λ(t)[HI+HKtiTδ(tti)H0].H(t)=H_0+\lambda(t)\big[H_I+H_K\sum_{t_i\in\mathcal T}\delta(t-t_i)-H_0\big].1 is complex Gaussian and

H(t)=H0+λ(t)[HI+HKtiTδ(tti)H0].H(t)=H_0+\lambda(t)\big[H_I+H_K\sum_{t_i\in\mathcal T}\delta(t-t_i)-H_0\big].2

The ratio between the periodic and open moments is therefore

H(t)=H0+λ(t)[HI+HKtiTδ(tti)H0].H(t)=H_0+\lambda(t)\big[H_I+H_K\sum_{t_i\in\mathcal T}\delta(t-t_i)-H_0\big].3

For H(t)=H0+λ(t)[HI+HKtiTδ(tti)H0].H(t)=H_0+\lambda(t)\big[H_I+H_K\sum_{t_i\in\mathcal T}\delta(t-t_i)-H_0\big].4, the reported ratios are H(t)=H0+λ(t)[HI+HKtiTδ(tti)H0].H(t)=H_0+\lambda(t)\big[H_I+H_K\sum_{t_i\in\mathcal T}\delta(t-t_i)-H_0\big].5, H(t)=H0+λ(t)[HI+HKtiTδ(tti)H0].H(t)=H_0+\lambda(t)\big[H_I+H_K\sum_{t_i\in\mathcal T}\delta(t-t_i)-H_0\big].6, and H(t)=H0+λ(t)[HI+HKtiTδ(tti)H0].H(t)=H_0+\lambda(t)\big[H_I+H_K\sum_{t_i\in\mathcal T}\delta(t-t_i)-H_0\big].7 (Gupta et al., 18 Jun 2025).

This boundary-condition sensitivity is stronger than the level of the two-point spectral form factor itself. Under periodic boundaries, the appropriate random-matrix comparators at the self-dual point are compact symmetric-space ensembles H(t)=H0+λ(t)[HI+HKtiTδ(tti)H0].H(t)=H_0+\lambda(t)\big[H_I+H_K\sum_{t_i\in\mathcal T}\delta(t-t_i)-H_0\big].8 for even H(t)=H0+λ(t)[HI+HKtiTδ(tti)H0].H(t)=H_0+\lambda(t)\big[H_I+H_K\sum_{t_i\in\mathcal T}\delta(t-t_i)-H_0\big].9 and U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],00 for odd U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],01, rather than the standard COE; under open boundaries, the numerics match COE behavior. Away from self-duality, both periodic and open systems revert to COE-like higher moments. The result is not merely quantitative: boundary conditions alter the Gaussian character of U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],02 itself (Gupta et al., 18 Jun 2025).

The same transfer-matrix technology extends to correlated-disorder echoes through the Loschmidt spectral form factor. For disorder draws with correlation U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],03, writing U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],04, the large-U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],05 self-dual result is

U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],06

while the fourth echo moment under periodic boundaries obeys

U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],07

Open boundaries yield the same exponential scale but different prefactors, again reflecting the boundary-condition dependence of pairing structures in the transfer matrix (Gupta et al., 18 Jun 2025).

5. Disorder-resilient charging in the self-dual kicked Ising battery

In the quantum-battery realization, the self-dual KIM supports exact stroboscopic charging laws for arbitrary system size and number of kicks. With the ground-state energy of U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],08 shifted to zero, the injected energy for the U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],09-Ising charger at the self-dual point is

U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],10

where the pseudomomenta U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],11 depend on boundary conditions and parity sector. This single formula generates a family of parity- and boundary-dependent plateaus and resonant maxima (Romero et al., 21 Nov 2025).

The stroboscopic patterns are highly structured.

Geometry and charger Stroboscopic condition Energy density
U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],12, PBC, U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],13 even U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],14 U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],15
U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],16, PBC, U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],17 even U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],18 U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],19
U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],20, PBC, U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],21 even otherwise U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],22
U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],23, PBC, U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],24 odd U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],25 U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],26
U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],27, PBC, U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],28 odd otherwise U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],29
U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],30, PBC, U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],31 odd U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],32 U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],33
U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],34, PBC, U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],35 odd U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],36 U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],37
OBC, both chargers same as PBC odd-U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],38 case parity-independent

For U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],39 with periodic boundaries and even U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],40, the dynamics coincides with the U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],41 periodic odd-U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],42 case. The periodicities are U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],43 or U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],44, depending on the sector (Romero et al., 21 Nov 2025).

Disorder does not affect this regime uniformly. For U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],45, periodic boundaries, and U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],46, averaging over U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],47 disorder realizations gave two reported regimes. For U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],48, the disorder-averaged energy density follows the disorder-free curves closely, including the maxima, minima, and U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],49 plateaus. For stronger disorder, such as U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],50, the average approaches

U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],51

with weak U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],52-dependence, which the paper interprets as a balance between kick-induced delocalization and random pinning (Romero et al., 21 Nov 2025).

The non-uniform protocol replaces periodic kicks by a schedule in a fixed time window,

U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],53

and in the dense-kick limit,

U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],54

For U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],55, a uniform kicked Ising circuit yields U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],56 after one kick, whereas random schedules in U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],57 rapidly approach the saturation of the continuous Ising battery; approximately U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],58 kicks suffice to match continuous evolution at U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],59 (Romero et al., 21 Nov 2025).

The same work links charging to scrambling. Using

U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],60

it reports linearly expanding light cones in the self-dual regime and shows that, for non-uniform kicking, a short window U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],61 suppresses spreading and energy injection, while a longer window U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],62 yields clear light cones and high injected energy. The stated conclusion is that low-frequency kicking, equivalently larger U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],63, boosts energy injection by allowing entanglement growth between kicks (Romero et al., 21 Nov 2025).

6. Numerical methods and quantum-hardware realizations

The disordered KIM has also served as a methodological benchmark for large-scale Floquet numerics. The polynomially filtered exact diagonalization (POLFED) algorithm targets eigenstates of a unitary near a desired eigenphase U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],64 using the filter

U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],65

With U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],66, U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],67, and U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],68, the method converges to roughly U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],69 eigenvectors after U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],70 Lanczos steps with U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],71, and residual norms satisfy U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],72. For KIM this extended exact treatment to U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],73, with disorder averages exceeding U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],74 realizations for U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],75 (Sierant et al., 2022).

Tensor-network simulations provide an independent route in the charging problem. TEBD/MPS calculations with ITensor and MPO cutoff U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],76 reproduce the exact parity-dependent charging profiles for both U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],77 and U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],78, under OBC and PBC, and were used for systems as large as U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],79 (Romero et al., 21 Nov 2025).

Two IBM superconducting platforms have been used for direct experimental tests. In the quantum-battery study, the device was ibm_torino with U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],80 superconducting qubits. The U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],81 charger admits an exact gate decomposition

U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],82

and for U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],83, periodic boundaries, and up to U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],84 kicks, measurements with U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],85 shots per circuit agreed with exact predictions, including the U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],86 plateaus and the non-uniform approach to continuous-chain saturation (Romero et al., 21 Nov 2025).

In the Floquet-MBL crossover experiment, the device was ibm_fez, IBM Heron r2, with U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],87 qubits, of which U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],88 formed a heavy-hex patch. The reported median errors at job submission were CZ error U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],89, SX error U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],90, and readout error U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],91. OTOCs were measured up to U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],92 Floquet cycles with U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],93 shots per circuit, using Pauli twirling, TREX readout mitigation, manual causal-cone pruning, and two independent mitigation strategies: operator renormalization and zero-noise extrapolation. Both methods located the crossover at U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],94 within uncertainties (Hayata et al., 2 Oct 2025).

An earlier line of work studied disorder generated not by quenched random fields but by disturbed kick trains. There the stroboscopic evolution is assembled period by period from free Ising evolution and instantaneous rank-one kicks, with disorder propagated by classical torus maps such as stationary, drifting, microcanonical, or Markovian baths. In open Ising chains, the reported effect depends strongly on coupling orientation: Ising-U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],95 exhibits a short-time coherence plateau and pronounced edge effects, whereas Ising-U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],96 yields the fastest relaxation to microcanonical populations and the strongest entanglement growth (Aubourg et al., 2014).

These numerical and experimental developments have made the disordered KIM unusually versatile. It is analytically tractable at self-duality, amenable to large-U=exp ⁣(igj=1Lσjx)exp ⁣[ij=1L(Jσjzσj+1z+hjσjz)],U=\exp\!\left(-i g \sum_{j=1}^{L}\sigma_j^x\right)\, \exp\!\left[-i \sum_{j=1}^{L}\left(J\sigma_j^z\sigma_{j+1}^z+h_j\sigma_j^z\right)\right],97 spectral computations, compatible with tensor-network simulation in structured regimes, and implementable on current superconducting hardware at scales beyond classical exact diagonalization (Sierant et al., 2022, Romero et al., 21 Nov 2025, Hayata et al., 2 Oct 2025).

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