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Hilbert-space geometry of random-matrix eigenstates

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arxiv 2011.03557 v1 pith:5FK7HZRF submitted 2020-11-06 cond-mat.dis-nn math-phmath.MPquant-ph

classification cond-mat.dis-nnmath-phmath.MPquant-ph
keywords quantumgeometryrandom-matrixdiscussdistributioneigenstatesensembleshilbert-space
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The geometry of multi-parameter families of quantum states is important in numerous contexts, including adiabatic or nonadiabatic quantum dynamics, quantum quenches, and the characterization of quantum critical points. Here, we discuss the Hilbert-space geometry of eigenstates of parameter-dependent random-matrix ensembles, deriving the full probability distribution of the quantum geometric tensor for the Gaussian Unitary Ensemble. Our analytical results give the exact joint distribution function of the Fubini-Study metric and the Berry curvature. We discuss relations to Levy stable distributions and compare our results to numerical simulations of random-matrix ensembles as well as electrons in a random magnetic field.

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Cited by 2 Pith papers

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

  1. The universality class of the first levels in low-dimensional gravity

    hep-th 2025-05 conditional novelty 7.0 of 10

    Near-edge states in dense chaotic systems and in JT gravity have a universal, analytically computed fidelity susceptibility distribution that is heavy-tailed yet parametrically more rigid than bulk states.

  2. Geometry of quantum states and chaos-integrability transition

    quant-ph 2025-07 conditional novelty 6.0 of 10

    Ensemble-averaged quantum metric tensors of random matrix models show finite geodesic distance to the chaotic phase and a 1/r divergence of fidelity susceptibility near integrability.

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