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Quantum chaos and complexity from string scattering amplitudes

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arxiv 2408.11096 v1 pith:4LNRE33L submitted 2024-08-20 hep-th hep-phmath-phmath.MPquant-ph

classification hep-thhep-phmath-phmath.MPquant-ph
keywords scatteringcomplexitykrylovchaoshamiltonianamplitudesspreadstate
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We introduce Krylov spread complexity in the context of black hole scattering by studying highly excited string states (HESS). Krylov complexity characterizes chaos by quantifying the spread of a state or operator under a known Hamiltonian. In contrast, quantum field theory often relies on S-matrices, where the Hamiltonian density becomes non-trivially time-dependent rendering the computations of complexity in Krylov basis exponentially hard. We define Krylov spread complexity for scattering amplitudes by analyzing the distribution of extrema, treating these as eigenvalues of a fictional Hamiltonian that evolves a thermo-field double state non-trivially. Our analysis of black hole scattering, through highly excited string states scattering into two or three tachyons, reveals that the Krylov complexity of these amplitudes mirrors the behavior of chaotic Hamiltonian evolution, with a pre-saturation peak indicating chaos. This formalism bridges the concepts of chaos in scattering and state evolution, offering a framework to distinguish different scattering processes.

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Cited by 8 Pith papers

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

  1. Recursion Coefficients and Krylov Dynamics in Polynomial Random Matrix Models

    hep-th 2026-08 conditional novelty 6.0 of 10

    Recursion coefficients for high-degree asymmetric polynomial random matrix models are computed efficiently via a moment recursion, with large-n asymptotics reproducing Freud's conjecture and transition regions mapped ...

  2. Krylov-Space Memory Cores

    hep-th 2026-07 conditional novelty 6.0 of 10

    Anomalous initial states in otherwise thermalizing models leave compact, stationary low-depth Krylov-space cores—regions with persistent fluctuations, Gibbs mismatch, and current activity—while generic states do not.

  3. From Confinement to Chaos in AdS/CFT Correspondence via Non-equilibrium Local States

    hep-th 2025-07 conditional novelty 6.0 of 10

    In holographic confining backgrounds, temporal peak statistics of boundary correlators after local quenches approach the Gaussian Symplectic Ensemble for heavy operators and, in capped BTZ, even for massless ones.

  4. Brickwall One-Loop Determinant: Spectral Statistics & Krylov Complexity

    hep-th 2024-12 conditional novelty 6.0 of 10

    In the brickwall model of a BTZ black hole, hand-tuned Gaussian randomness at a stretched horizon reproduces random-matrix-theory spectral statistics and Krylov complexity peaks for scalar and fermionic probes.

  5. Spread complexity for the planar limit of holography

    hep-th 2024-12 reject novelty 6.0 of 10

    Spread complexity is generalized to fermionic and supercoherent states, and applied to large-charge rotating strings in AdS5 x S5, yielding Krylov paths that reduce to effective SU(2)/SL(2) coherent-state complexity.

  6. Spread Complexity in Non-Hermitian Many-Body Localization Transition

    cond-mat.dis-nn 2024-11 conditional novelty 6.0 of 10

    Singular value spread complexity and TFD-state spread complexity give new numerical order parameters for the non-Hermitian many-body localization transition.

  7. Multi-dimensional chaos I: Classical and quantum mechanics

    hep-th 2025-10 conditional novelty 5.0 of 10

    Peak positions in two-dimensional erratic scattering functions carry statistical repulsion signatures—COE for asymmetric pinball S-matrices, β-ensemble-like for the random-charge model—that can diagnose multi-dimensio...

  8. Statistics and Complexity of Wavefunction Spreading in Quantum Dynamical Systems

    quant-ph 2024-11 conditional novelty 5.0 of 10

    The moments of the spreading-operator measurement distribution are generalized spread complexities, which for GUE Hamiltonians peak more sharply at higher order and obey a norm bound.

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