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Time evolution of spread complexity in quenched Lipkin-Meshkov-Glick model

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arxiv 2208.10520 v3 pith:HXGC4NS7 submitted 2022-08-22 hep-th cond-mat.stat-mechcond-mat.str-elquant-ph

classification hep-thcond-mat.stat-mechcond-mat.str-elquant-ph
keywords spreadmodelcomplexitycriticalentropyphasetimeevolution
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We use the spread complexity of a time evolved state after a sudden quantum quench in the Lipkin-Meshkov-Glick (LMG) model prepared in the ground state as a probe of quantum phase transition when the system is quenched towards the critical point. By studying the growth of the effective number of elements of the Krylov basis, those contribute to the spread complexity more than a preassigned cut off, we show how the two phases of the LMG model can be distinguished. We also explore the time evolution of spread entropy after both non-critical and critical quenches. We show that the sum contributing to the spread entropy converges slowly in the symmetric phase of the LMG model compared to that of the broken phase, and for a critical quench, the spread entropy diverges logarithmically at late times.

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  1. Quasinormal modes and complexity in saddle-dominated SU(N) spin systems

    hep-th 2025-06 conditional novelty 5.0 of 10

    A family of SU(2) and SU(3) Lipkin-Meshkov-Glick-type Hamiltonians reproduces de Sitter quasinormal-mode densities of states, and late-time probes reveal integrability beneath saddle-dominated scrambling.

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