4.6 Article

Statistical localization: From strong fragmentation to strong edge modes

期刊

PHYSICAL REVIEW B
卷 101, 期 12, 页码 -

出版社

AMER PHYSICAL SOC
DOI: 10.1103/PhysRevB.101.125126

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资金

  1. la Caixa Foundation [100010434]
  2. Harvard Quantum Initiative Postdoctoral Fellowship in Science and Engineering
  3. Simons Foundation [376207]
  4. Technical University of Munich-Institute for Advanced Study - German Excellence Initiative
  5. European Union [291763]
  6. Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy [EXC2111-390814868, FOR 1807, PO 1370/2-1, TRR80]
  7. DFG [TRR80, KN1254/11]
  8. European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme [771537, 851161]
  9. NSF [NSF PHY-1748958]

向作者/读者索取更多资源

Certain disorder-free Hamiltonians can be nonergodic due to a strong fragmentation of the Hilbert space into disconnected sectors. Here, we characterize such systems by introducing the notion of statistically localized integrals of motion (SLIOM), whose eigenvalues label the connected components of the Hilbert space. SLIOMs are not spatially localized in the operator sense, but appear localized to subextensive regions when their expectation value is taken in typical states with a finite density of particles. We illustrate this general concept on several Hamiltonians, both with and without dipole conservation. Furthermore, we demonstrate that there exist perturbations which destroy these integrals of motion in the bulk of the system while keeping them on the boundary. This results in statistically localized strong zero modes, leading to infinitely long-lived edge magnetizations along with a thermalizing bulk, constituting the first example of such strong edge modes in a nonintegrable model. We also show that in a particular example, these edge modes lead to the appearance of topological string order in a certain subset of highly excited eigenstates. Some of our suggested models can be realized in Rydberg quantum simulators.

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