Determinant Quantum Monte Carlo data for the Hubbard model on the square lattice on a (t,U) grid

Data generated with QUEST 1.4.9. For documentation see these two homepages: Original homepage: http://quest.ucdavis.edu/ Newest version available at: https://code.google.com/archive/p/quest-qmc/ Available data from equal time measurements: up-up charge correlation function up-dn charge correlation f...

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1. Verfasser: Schüler, Malte
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Zusammenfassung:Data generated with QUEST 1.4.9. For documentation see these two homepages: Original homepage: http://quest.ucdavis.edu/ Newest version available at: https://code.google.com/archive/p/quest-qmc/ Available data from equal time measurements: up-up charge correlation function up-dn charge correlation function sz-sz spin correlation function pair correlation function greens function kinetic energy total energy chi thermal squared magnetization ZZ AF structure factor Data for the square lattice calculated for lattice sizes 8x8, 10x10, 12x12 trotter discretizations 0.05, 0.1, 0.2 inverse temperature 10.0 U 0.0 to 2.7 in steps of 0.1 t from 1.0 to 1.48 in steps of 0.02 All simulations are done for half filling. The data are used in the publication "Thermodynamics of the metal-insulator transition in the extended Hubbard model" available on the arXiv (arXiv:1903.09947). There it is used to do an extrapolation of finite size and finite trotter errors and calculate the free energy by integrating the double occupation. The data are available in hdf5 archives and can easily be accessed, e.g., with python and h5py. An example python script is included. Relevant input parameters are included in the h5 files. All calculated quantities are averaged over multiple consecutive simulations, which is why the data is not presented in the usual QUEST output. This was necessary due to limited walltime on the used supercomputer. The authors acknowledge the North-German Supercomputing Alliance (HLRN) for providing computing resources via project number hbp00046 that have contributed to these results.
DOI:10.5281/zenodo.2632521