aiqbench analysis
This paper advances the analysis of composite quantum spectra by proposing a "Best Subset Technique" to determine the number of symmetry sectors in both Hermitian and non-Hermitian systems. The method enables accurate modeling of spectral fluctuations using random matrix theory without requiring prior knowledge of the system's symmetries or de-symmetrization. This development is critical for interpreting data from complex many-body quantum systems where discrete symmetries are unknown or partially known.
Determining the Number of Symmetry Sectors in Composite Quantum Spectra
arXiv:2610.03108v1 Announce Type: new Abstract: The spectral fluctuations in complex quantum systems are modeled in terms of spectra from random matrices. Quantitative agreement with random matrices holds only when the quantum spectrum is a pure sequence, and not a composite spectrum that mixes levels from different symmetry sectors. It was shown earlier that discrete symmetries in composite spectra can be detected using higher-order spacing ratio statistics provided the symmetry sectors are of equal dimensions. The general case is when the symmetry sectors have unequal dimensions, and the symmetries of the Hamiltonian system are unknown or only partially known. In this work, we address how the number of symmetry sectors can be determined from a composite spectrum arising in Hermitian and non-Hermitian settings. A Best Subset Technique is proposed for determining the number of the symmetry sectors by comparing the spectral fluctuations to that of an appropriate random matrix ensemble without requiring de-symmetrization. It is demonstrated using spectra from Gaussian, Wishart and Ginibre ensembles, and also for spectra drawn from many-body quantum systems.
Abstract:The spectral fluctuations in complex quantum systems are modeled in terms of spectra from random matrices. Quantitative agreement with random matrices holds only when the quantum spectrum is a pure sequence, and not a composite spectrum that mixes levels from different symmetry sectors. It was shown earlier that discrete symmetries in composite spectra can be detected using higher-order spacing ratio statistics provided the symmetry sectors are of equal dimensions. The general case is when the symmetry sectors have unequal dimensions, and the symmetries of the Hamiltonian system are unknown or only partially known. In this work, we address how the number of symmetry sectors can be determined from a composite spectrum arising in Hermitian and non-Hermitian settings. A Best Subset Technique is proposed for determining the number of the symmetry sectors by comparing the spectral fluctuations to that of an appropriate random matrix ensemble without requiring de-symmetrization. It is demonstrated using spectra from Gaussian, Wishart and Ginibre ensembles, and also for spectra drawn from many-body quantum systems.
10 pages, 13 figures. To be published in PRB
Quantum Physics (quant-ph); Disordered Systems and Neural Networks (cond-mat.dis-nn)
arXiv:2610.03108 [quant-ph]
(or arXiv:2610.03108v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2610.03108 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.
Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.
Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Full text under the publisher's open licence · 276 words
Related coverage

Researchers Map Hidden Edge States in Dissipative Superconductor
Quantum Zeitgeist · Aug 17, 2026

Detection of a Rényi Index Dependent Transition in Entanglement Entropy Scaling
Quantum Journal · Aug 7, 2026
Exact Stiffness and Dynamical Responses from Fock-Space Fragmentation
arXiv · Aug 28, 2026
Fate of emergent Hilbert space fragmentation and information insulation upon softening of hard dual constraints at PXP-chain junctions
arXiv · Oct 14, 2026