Many-Body Protection of Topological Edge Memory in Strong Interacting Quenches
- URL: http://arxiv.org/abs/2606.19437v1
- Date: Wed, 17 Jun 2026 18:00:02 GMT
- Title: Many-Body Protection of Topological Edge Memory in Strong Interacting Quenches
- Abstract summary: We study whether the memory of a topological initial state survives in a non-integrable, interacting system.<n>We analyze quenches across all combinations of single-particle and many-body initial and final Hamiltonians.
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- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Quantum quenches drive edge states far from equilibrium, yet whether the memory of a topological initial state survives in a non-integrable, interacting system has remained largely unexplored. We study this question in the bond-alternating XXZ chain -- an interacting Su--Schrieffer--Heeger model hosting symmetry-protected topological edge modes with markedly enhanced boundary magnetization -- and analyze quenches across all combinations of single-particle and many-body initial and final Hamiltonians. The results organize by a single distinction as we rigorously establish in this work: whether the post-quench Hamiltonian is free or genuinely interacting. For a free post-quench Hamiltonian, the dynamics is solved exactly by a correlation-matrix approach; the boundary-mode return amplitude decays as $t^{-3/2}$, and initial interactions enter only through a dressed one-body density matrix. For a genuinely interacting post-quench Hamiltonian, finite-time stability bounds prove that away from local resonances the first-dimer magnetization remains stable on time windows growing as arbitrarily large powers of the inverse inter-dimer coupling. Matrix product state simulations across all four protocols show that interactions in the final Hamiltonian markedly extend finite-time boundary memory -- with local suppression near the isotropic $SU(2)$ point -- revealing a many-body protection mechanism in a non-integrable system where scrambling would otherwise wash out initial-state memory fast.
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