Numerical Notebook and Data for "Eigenbasis Conditioning and Fisher-Information Singularity Classes Near a Second-Order Exceptional Point"
Markus, Olga
Abstract
This repository contains the complete Python notebook and numerically generated data supporting Sections 7.1–7.5 and Figs. 1–3 of the accompanying article, “Eigenbasis Conditioning and Fisher-Information Singularity Classes Near a Second-Order Exceptional Point.” The archive includes the exact canonical EP2 benchmark, a reproducible ensemble of 300 noncanonical continuous complex operator paths, the Bernoulli Fisher-information readout models, the relative Fisher–conditioning analysis, and the numerical precision, unitary-invariance, and nonunitary-similarity tests. The repository contains the complete ensemble-generation parameters, recorded pseudorandom seeds, processed numerical data, software-environment specifications, and files underlying the reported figures. All data in the archive are numerically generated. The notebook code is released under the MIT License. The generated numerical data, figures, and documentation are released under the Creative Commons Attribution 4.0 International License.