Dataset for "Quantum error mitigation by hierarchy-informed sampling: chiral dynamics in the Schwinger model"

Data supporting the findings of the paper: T. Saporiti, O. Kaikov, V. Sazonov, and M. Tamaazousti, Quantum error mitigation by hierarchy-informed sampling: chiral dynamics in the Schwinger model, arXiv:2603.04339. All data are encoded as JSON objects, either in binary or text mode.The backend.ibm file encodes an AerSimulator backend in binary mode. Its noise model is compiled from the physical properties of the IBM Torino QPU, measured on September 18th 2025. The name of the folder (ab)[012]{0123} encodes the choice of the $(m, \mu_5, r)$ Schwinger model parameters: a for $m=0.1$, b for $m=0.5$ [012] for $\mu_5 \in \{0, 0.1, 0.2\}$ {0123} for $r \in \{0,1,2,R=3\}$ We refer to the paper for further details. The codes used to produce this numerical data are available at: https://github.com/theosaporiti/BBGKY-ISMThe codes used to carry out the corresponding data analysis and plot the respective figures in the paper are available upon reasonable request.