Determinant Quantum Monte Carlo Data For The Hubbard Model On The Square And Honeycomb Lattice
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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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
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
U 0.0 to 7.1 in steps of 0.1
Data for the honeycomb lattice calculated for
lattice sizes 6x6, 9x9, 12x12
trotter discretizations 0.05, 0.1, 0.2
U 0.0 to 7.1 in steps of 0.1
All energies are in units of the hopping parameters which is set to t=1. All simulations are done for half filling.
The data are used in the publication "First-order metal-insulator transitions in the extended Hubbard model due to self-consistent screening of the effective interaction" available on the arXiv (arXiv:1706.09644). There it is used to do an extrapolation of finite size and finite trotter errors and finally calculate derivatives of charge correlation functions w.r.t. the interaction U.
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. |
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DOI: | 10.5281/zenodo.1053774 |