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Statistics of the Spectral Form Factor in the Self-Dual Kicked Ising Model
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abstract
We compute the full probability distribution of the spectral form factor in the self-dual kicked Ising model by providing an exact lower bound for each moment and verifying numerically that the latter is saturated. We show that at large enough times the probability distribution agrees exactly with the prediction of Random Matrix Theory if one identifies the appropriate ensemble of random matrices. We find that this ensemble is not the circular orthogonal one - composed of symmetric random unitary matrices and associated with time-reversal-invariant evolution operators - but is an ensemble of random matrices on a more restricted symmetric space (depending on the parity of the number of sites this space is either ${Sp(N)/U(N)}$ or ${O(2N)/{O(N)\!\times\!O(N)}}$). Even if the latter ensembles yield the same averaged spectral form factor as the circular orthogonal ensemble they show substantially enhanced fluctuations. This behaviour is due to a recently identified additional anti-unitary symmetry of the self-dual kicked Ising model.
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Cited by 1 Pith paper
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Extreme value statistics and eigenstate thermalization in kicked quantum chaotic spin-$1/2$ chains
The largest entanglement eigenvalue of a quantum chaotic kicked Ising chain follows a Weibull-type extreme value distribution rather than the random-matrix Tracy-Widom law, even as ETH is satisfied.
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