Supplementary Data: Distance learning from projective measurements as an information-geometric probe of many-body physics

This dataset contains the data needed to reproduce the figures in the paper "Distance learning from projective measurements as an information-geometric probe of many-body physics" (to be made public on arXiv on 17.03.2026), together with TFIM snapshots for toy example calculations. The folder is organized into `figures/`, which contains the processed datasets used for the paper and supplementary figures, and `tfim/raw_snapshots/`, which contains raw transverse-field Ising model snapshots for the toy example workflow. It is intended to be used together with the GitHub repository [quantum_many_body_distance_learning](https://github.com/Exferro/quantum_many_body_distance_learning), which contains the code and documentation. That repository is designed to download and place the data automatically.