What is mVMC?

High-accuracy analyses of theoretical models for quantum many-body systems are expected to play important role for clarifying the nature of novel quantum phases such as high-temperature superconductivities and quantum spin liquids. Furthermore, recent theoretical progress enables us to obtain low-energy effective models for real materials with non-empirical way [ImadaMiyake ]. To clarify the electronic structures of real materials and control the physical properties, it is important to perform the high-accuracy analyses for the low-energy effective models. One of the most reliable theoretical tools for treating the strongly correlated electron systems is the exact diagonalization method. However, applicable range of system size is strongly limited in the exact diagonalization method. Variational Monte Carlo method [Gros ] is one of promising way to perform the high-accuracy calculations for the larger system sizes beyond exact diagonalization method. Although the strong limitation of the variational wave function is the origin of the poor accuracy of the variational Monte Carlo method, recent development of the theoretical method and computers relaxes the limitation of the variational wave functions and enable us to perform the highly-accurate calculations [Tahara2008 , Misawa2014 , Morita2015 ].

mVMC (many-variable Variational Monte Carlo method) is a software for performing the highly-accurate variational Monte Carlo calculations with the simple and flexible user interface. mVMC also supports the large-scale parallelization. For the conventional models in strongly correlated electron systems such as the Hubbard model, the Heisenberg model, and the Kondo-lattice model, users can perform the calculation by preparing the one input files whose length is shorter than ten lines. By using the same input file, users can perform the exact diagonalization through HPhi [HPhi ]. Thus, it is easy to examine the accuracy of the variational calculation for small system sizes and to perform the calculations for large system sizes that can not be treated by the exact diagonalization. A broad spectrum of users including experimental scientists is cordially welcome.

Overview of mVMC

By using mVMC, the following calculation can be done:

  • The variational wave function which gives the minimum value of the expected value of energy in the range of the degree of freedoms of variational parameters is numerically generated. The calculation limited to the partial space divided by quantum numbers is also possible.

  • The expected values of the physical quantities such as correlation functions can be calculated by using the generated variational wave functions.

The calculation flow in mVMC is shown as follows:

  1. Read input files (*.def)

  2. Optimize variational parameters \(\vec{\alpha}\) to minimize \(\langle {\cal H} \rangle\)

  3. Calculate one body and two body Green functions

  4. Output variational parameters and expected values

In calculation, the simple parallelization for the generation of the real space arrangement \(|x\rangle\) and the collecting samples and the calculation result of expected energies is implemented. Following the procedure for each cluster computers, the parallelized calculation using MPI is automatically done by indicating the parallel number. However, mVMC cannot execute under the environment where the MPI job is forbidden such as the front-end of system B at ISSP. In mVMC, we use PFAPACK [PFAPACK ] to compute the Pfaffian matrix.

License

The distribution of the program package and the source codes for mVMC follows GNU General Public License version 3 (GPL v3).

We hope that you cite the following the paper on mVMC or URL,

paper on mVMC: Takahiro Misawa, Satoshi Morita, Kazuyoshi Yoshimi, Mitsuaki Kawamura, Yuichi Motoyama, Kota Ido, Takahiro Ohgoe, Masatoshi, and Takeo Kato, Comp. Phys. Commun. 235 447-462 (2019).
URL: https://github.com/issp-center-dev/mVMC

when you publish the results using mVMC.

Contributors

This software is developed by following contributors.

  • ver.1.3.0 (released at 2024/10/11)

  • ver.1.2.0 (released at 2021/11/22)

  • ver.1.1.0 (released at 2019/11/15)

  • ver.1.0.3 (released at 2018/7/23)

  • ver.1.0.2 (released at 2017/8/25)

  • ver.1.0.1 (released at 2017/6/8)

  • ver.1.0.0 (released at 2017/5/23)

  • ver.0.2.0 (released at 2017/3/16)

  • ver.0.1.1 (released at 2016/12/16)

  • ver.0.1.0 (released at 2016/10/26)

    • Developers

      • Takahiro Misawa (Beijing Academy of Quantum Information Sciences)

      • Satoshi Morita (The Institute for Solid State Physics, The University of Tokyo)

      • RuQing G. Xu (Department of Physics, The University of Tokyo)

      • Takahiro Ohgoe (Department of Applied Physics, The University of Tokyo)

      • Kota Ido (The Institute for Solid State Physics, The University of Tokyo)

      • Masatoshi Imada (Department of Applied Physics, The University of Tokyo)

      • Yuichi Motoyama (The Institute for Solid State Physics, The University of Tokyo)

      • Mitsuaki Kawamura (The Institute for Solid State Physics, The University of Tokyo)

      • Kazusyohi Yoshimi (The Institute for Solid State Physics, The University of Tokyo)

    • Project coordinator

      • Takeo Kato (The Institute for Solid State Physics, The University of Tokyo)

Operating environment

mVMC is tested in the following platform:

  • The supercomputer system-B ohtaka in ISSP

  • The supercomputer system-C kugui in ISSP

  • OpenMPI + Intel Compiler + MKL

  • MPICH + Intel Compiler + MKL

  • MPICH + GNU Compiler + MKL