Discerning chaos in quantum systems is an important problem as the usual route of Lyapunov exponents in classical systems is not straightforward in quantum systems. A standard route is the comparison of statistics derived from model physical systems to those from random matrix theory (RMT) ensembles, of which the most popular is the nearest-neighbor-spacing distribution, which almost always shows good agreement with chaotic quantum systems. However, even in these cases, the long-range statistics (like number variance and spectral rigidity), which are also more difficult to calculate, often show disagreements with RMT. As such, a more stringent test for chaos in quantum systems, via an analysis of intermediate-range statistics, is needed, which will additionally assess the extent of agreement with RMT universality. In this paper, we deduce the effective level-repulsion parameters and the corresponding Wigner–surmise-like results of the next-nearest-neighbor-spacing distribution (nNNSD) for integrable systems (semi-Poissonian statistics) as well as the three classical quantum chaotic Wigner–Dyson regimes, by stringent comparisons to numerical RMT models and benchmarking against our exact analytical results for Gaussian matrix models, along with a semi-analytical form for the nNNSD in the orthogonal-to-unitary symmetry crossover. To illustrate the robustness of these RMT based results, we test these predictions against the nNNSD obtained from quantum chaotic models as well as disordered lattice spin models. This reinforces the Bohigas–Giannoni–Schmit and the Berry–Tabor conjectures, extending the associated universality to longer-range statistics. In passing, we also highlight the equivalence of nNNSD in the apparently distinct orthogonal-to-unitary and diluted-symplectic-to-unitary crossovers.
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