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arxiv: 2408.06855 · v2 · pith:KUJT5DHM · submitted 2024-08-13 · quant-ph · hep-th

Speed Limits and Scrambling in Krylov Space

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classification quant-ph hep-th
keywords operatorkrylovsystemsintegrablecomplexitydynamicsmany-bodyoperators
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We investigate the relationship between Krylov complexity and operator quantum speed limits (OQSLs) of the complexity operator and level repulsion in random/integrable matrices and many-body systems. An enhanced level-repulsion corresponds to increased OQSLs in random/integrable matrices. However, in many-body systems, the dynamics is more intricate due to the tensor product structure of the models. Initially, as the integrability-breaking parameter increases, the OQSL also increases, suggesting that breaking integrability allows for faster evolution of the complexity operator. At larger values of integrability-breaking, the OQSL decreases, suggesting a slowdown in the operator's evolution speed. Information-theoretic properties, such as scrambling, coherence and entanglement, of Krylov basis operators in many-body systems, are also investigated. The scrambling behaviour of these operators exhibits distinct patterns in integrable and chaotic cases. For systems exhibiting chaotic dynamics, the Krylov basis operators remain a reliable measure of these properties of the time-evolved operator at late times. However, in integrable systems, the Krylov operator's ability to capture the entanglement dynamics is less effective, especially during late times.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

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    hep-th 2026-07 accept novelty 7.0

    Polynomial changes of the initial state in Krylov complexity are solved exactly via Christoffel transforms of the spectral measure, yielding finite-band amplitude transfer and projected-kernel complexity formulas with...

  2. Quantum speed limit for the OTOC from an open systems perspective

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    Derives a quantum speed limit for the OTOC decay rate by mapping scrambling to open-system decoherence bounded by system-environment coupling strength and environmental correlation functions.