Determinant quantum Monte Carlo applied to the Hubbard model
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README.md

README.md

Determinant quantum Monte Carlo implementation

C implementation and test files of the determinant quantum Monte Carlo (DQMC) method applied to Hubbard-type models.

A Makefile is available in the bin subfolder, assuming that the Intel C compiler and MKL are available.

To run the code, call hubbard_dqmc <paramfile>; some example parameter files are provided in the bin subfolder.

The Mathematica unit test notebooks can be opened by Mathematica or the free CDF player.

Copyright (c) 2015-2017, Edwin Huang and Christian B. Mendl

This code was developed at Stanford University with support from the U.S. Department of Energy (DOE), Office of Basic Energy Sciences, Division of Materials Sciences and Engineering, under Contract No. DE-AC02-76SF00515.

References

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  2. S. R. White, D. J. Scalapino, R. L. Sugar, E. Y. Loh, J. E. Gubernatis, and R. T. Scalettar
    Numerical study of the two-dimensional Hubbard model
    Phys. Rev. B 40, 506-516 (1989) DOI
  3. Z. Bai, C.-R. Lee, R.-C. Li, S. Xu
    Stable solutions of linear systems involving long chain of matrix multiplications
    Linear Algebra Appl. 435, 659-673 (2011) DOI
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    Advancing large scale many-body QMC simulations on GPU accelerated multicore systems
    IEEE 26th International Parallel & Distributed Processing Symposium (IPDPS) 308-319 (2012) DOI
  5. S. Gogolenko, Z. Bai, R. Scalettar
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    IEEE International Parallel and Distributed Processing Symposium, 2016 DOI