QMC Raw Data for Stable Auxiliary Field Quantum Monte Carlo Algorithm in the Canonical Ensemble

<p><strong>Data Summary</strong></p> <p>Raw data of &#39;A Stable, Recursive Auxiliary Field Quantum Monte Carlo Algorithm in the Canonical Ensemble: Applications to Thermometry and the Hubbard Model&#39;.</p> <p>Random seeds are generated using the default Julia RNG, with the seed number being 1234+the file ID.</p> <p>For more details, please check README.md on the GitHub repository.</p> <p>&nbsp;</p> <p><strong>Fidelity_Lx6Ly6_U(2.0|4.0).zip</strong></p> <ul> <li>Raw data for fidelity measurements that correspond&nbsp;to&nbsp;plot_fidelity.ipynb</li> <li>The random seeds for numerator measurements (&#39;Fidelity(CE|GCE)_num.*&#39;) are&nbsp;5678+the file ID</li> </ul> <p><strong>Purity_(CE|GCE)_Lx6Ly6_U(2.0|4.0).zip</strong></p> <ul> <li>Raw data for purity measurements that correspond&nbsp;to&nbsp;plot_purity.ipynb</li> <li>The random seeds for numerator measurements (&#39;Purity(CE|GCE)_num.*&#39;) are&nbsp;5678+the file ID</li> </ul> <p><strong>StructFactGCE_Lx6_Ly6_U2.0.zip</strong></p> <ul> <li>Raw data for the momentum distribution and structural factor&nbsp;measurements that correspond&nbsp;to&nbsp;plot_nk.ipynb and&nbsp;plot_Cq.ipynb</li> </ul>