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Liu, Physical Review Research5(2023), 10.1103/PhysRevResearch.5.033085

3 Pith papers cite this work. Polarity classification is still indexing.

3 Pith papers citing it

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UNVERDICTED 3

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representative citing papers

Krylov Subspace Dynamics as Near-Horizon AdS$_2$ Holography

hep-th · 2026-02-12 · unverdicted · novelty 7.0

In the continuum limit the discrete Krylov chain becomes a Klein-Gordon field in AdS2, with Lanczos growth rate α identified as πT, recovering the maximal chaos bound and requiring the Breitenlohner-Freedman bound for consistency.

Krylov Complexity

hep-th · 2025-07-08 · unverdicted · novelty 2.0

Krylov complexity is a canonical, parameter-independent measure of operator spreading that probes chaotic dynamics to late times and admits a geometric interpretation in holographic duals.

Quantum Dynamics in Krylov Space: Methods and Applications

quant-ph · 2024-05-15 · unverdicted · novelty 2.0

Krylov subspace methods efficiently describe quantum evolution, operator growth, and chaos in many-body systems, with metrics like Krylov complexity and applications in open systems, QFT, and quantum computing.

citing papers explorer

Showing 3 of 3 citing papers.

  • Krylov Subspace Dynamics as Near-Horizon AdS$_2$ Holography hep-th · 2026-02-12 · unverdicted · none · ref 15

    In the continuum limit the discrete Krylov chain becomes a Klein-Gordon field in AdS2, with Lanczos growth rate α identified as πT, recovering the maximal chaos bound and requiring the Breitenlohner-Freedman bound for consistency.

  • Krylov Complexity hep-th · 2025-07-08 · unverdicted · none · ref 208

    Krylov complexity is a canonical, parameter-independent measure of operator spreading that probes chaotic dynamics to late times and admits a geometric interpretation in holographic duals.

  • Quantum Dynamics in Krylov Space: Methods and Applications quant-ph · 2024-05-15 · unverdicted · none · ref 191

    Krylov subspace methods efficiently describe quantum evolution, operator growth, and chaos in many-body systems, with metrics like Krylov complexity and applications in open systems, QFT, and quantum computing.