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Quantum chaos as delocalization in krylov space

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 Dynamics and Operator Growth in Time-Dependent Systems via Lie Algebras

quant-ph · 2026-05-06 · unverdicted · novelty 7.0 · 2 refs

The paper establishes a Lie-algebraic framework for exact Krylov dynamics in time-dependent quantum systems and introduces a quantum speed limit for complexity growth that retains its time-independent form but saturates only when the Hamiltonian commutes with itself at different times.

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 Dynamics and Operator Growth in Time-Dependent Systems via Lie Algebras quant-ph · 2026-05-06 · unverdicted · none · ref 8 · 2 links

    The paper establishes a Lie-algebraic framework for exact Krylov dynamics in time-dependent quantum systems and introduces a quantum speed limit for complexity growth that retains its time-independent form but saturates only when the Hamiltonian commutes with itself at different times.

  • Krylov Complexity hep-th · 2025-07-08 · unverdicted · none · ref 127

    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 216

    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.