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This paper introduces "Krylov edge spectroscopy," a novel protocol for detecting and classifying symmetry-protected topological phases using local boundary dynamics without requiring full wavefunction knowledge or exact diagonalization. By leveraging operator-space methods, the technique directly links the localization of Krylov edge modes to bulk gap closing, offering an efficient computational pathway for analyzing many-body topology in quantum systems.
Krylov Edge Spectroscopy of Symmetry-Protected Topological Phases
arXiv:2609.10676v1 Announce Type: new Abstract: We introduce $Krylov$ $edge$ $spectroscopy$, a many-body operator-space protocol for detecting and classifying one-dimensional symmetry-protected topological phases from local boundary dynamics. A Hermitian boundary operator generates a semi-infinite Krylov hopping chain whose boundary weight obeys an exact zero-frequency normalizability criterion. Open-periodic, boundary-bulk, and symmetry-preserving boundary-perturbation tests identify protected boundary memory, while a finite-depth leakage residual certifies when an explicitly reconstructed operator is already near zero frequency. Classification minimizes the normalized commutator over symmetry-resolved boundary operators in fixed charge sectors. For bosonic $\mathbb{Z}_N \times \mathbb{Z}_N$ phases, the recovered endpoint charge gives the cohomology label. The method requires neither many-body exact diagonalization, an explicit ground-state wavefunction or entanglement spectrum, nor a guessed dressed edge or string operator. For finite-range Hamiltonians, locality organizes the thermodynamic limit at fixed Krylov depth before the depth limit. We demonstrate the protocol in cluster, clock, Haldane, and trivial spin-1 chains. In the exactly solvable cluster chain, the transition between the gapped topological and trivial phases manifests as a localization-delocalization transition of the Krylov edge mode on the Krylov chain. This transition occurs precisely at the bulk gap closing, and its localization-length exponent coincides with the Ising correlation-length exponent. Through operator Krylov dynamics, our work turns local boundary evolution into a direct spectroscopy of many-body topology.
Abstract:We introduce $Krylov$ $edge$ $spectroscopy$, a many-body operator-space protocol for detecting and classifying one-dimensional symmetry-protected topological phases from local boundary dynamics. A Hermitian boundary operator generates a semi-infinite Krylov hopping chain whose boundary weight obeys an exact zero-frequency normalizability criterion. Open-periodic, boundary-bulk, and symmetry-preserving boundary-perturbation tests identify protected boundary memory, while a finite-depth leakage residual certifies when an explicitly reconstructed operator is already near zero frequency. Classification minimizes the normalized commutator over symmetry-resolved boundary operators in fixed charge sectors. For bosonic $\mathbb{Z}_N \times \mathbb{Z}_N$ phases, the recovered endpoint charge gives the cohomology label. The method requires neither many-body exact diagonalization, an explicit ground-state wavefunction or entanglement spectrum, nor a guessed dressed edge or string operator. For finite-range Hamiltonians, locality organizes the thermodynamic limit at fixed Krylov depth before the depth limit. We demonstrate the protocol in cluster, clock, Haldane, and trivial spin-1 chains. In the exactly solvable cluster chain, the transition between the gapped topological and trivial phases manifests as a localization-delocalization transition of the Krylov edge mode on the Krylov chain. This transition occurs precisely at the bulk gap closing, and its localization-length exponent coincides with the Ising correlation-length exponent. Through operator Krylov dynamics, our work turns local boundary evolution into a direct spectroscopy of many-body topology.
Quantum Physics (quant-ph); Strongly Correlated Electrons (cond-mat.str-el)
arXiv:2609.10676 [quant-ph]
(or arXiv:2609.10676v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2609.10676 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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Full text under the publisher's open licence · 306 words
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