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arxiv 2401.10499 v2 pith:FH6225I2 submitted 2024-01-19 cond-mat.stat-mech cond-mat.dis-nncond-mat.quant-gasquant-ph

Scaling Relations of Spectrum Form Factor and Krylov Complexity at Finite Temperature

classification cond-mat.stat-mech cond-mat.dis-nncond-mat.quant-gasquant-ph
keywords temperaturecomplexitykrylovcoefficientsergodicityfinitelanczosspectrum
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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In the study of quantum chaos diagnostics, considerable attention has been attributed to the Krylov complexity and spectrum form factor (SFF) for systems at infinite temperature. These investigations have unveiled universal properties of quantum chaotic systems. By extending the analysis to include the finite temperature effects on the Krylov complexity and SFF, we demonstrate that the Lanczos coefficients $b_n$, which are associated with the Wightman inner product, display consistency with the universal hypothesis presented in PRX 9, 041017 (2019). This result contrasts with the behavior of Lanczos coefficients associated with the standard inner product. Our results indicate that the slope $\alpha$ of the $b_n$ is bounded by $\pi k_BT$, where $k_B$ is the Boltzmann constant and $T$ the temperature. We also investigate the SFF, which characterizes the two-point correlation of the spectrum and encapsulates an indicator of ergodicity denoted by $g$ in chaotic systems. Our analysis demonstrates that as the temperature decreases, the value of $g$ decreases as well. Considering that $\alpha$ also represents the operator growth rate, we establish a quantitative relationship between ergodicity indicator and Lanczos coefficients slope. To support our findings, we provide evidence using the Gaussian orthogonal ensemble and a random spin model. Our work deepens the understanding of the finite temperature effects on Krylov complexity, SFF, and the connection between ergodicity and operator growth.

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Cited by 2 Pith papers

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  1. Polynomial Initial-State Jumps and Christoffel Transforms in Krylov Complexity

    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. Bridging Krylov Complexity and Universal Analog Quantum Simulator

    quant-ph 2026-05 unverdicted novelty 6.0

    Generalized Krylov complexity predicts the minimum time to realize target operations in analog quantum simulators such as Rydberg atom arrays.