QMCSGF

  • Level of openness 3 ★★★
  • Document quality 1 ★☆☆

An open source application implementing path-integral Monte Carlo method based on Stochastic Green function method. Finite temperature calculation of extended Bose Hubbard model and Heisenberg model with finite field can be treated. JSON and YAML formats are adopted for data I/O.

To Detail

CCCM

  • Level of openness 3 ★★★
  • Document quality 2 ★★☆

CCCM is a high-order CCM (coupled cluster method) code for lattice spin systems. It is possible to obtain the ground state and its energy of quantum spin systems in two or three dimensions.

To Detail

QuSpin

  • Level of openness 3 ★★★
  • Document quality 2 ★★☆

QuSpin is a python package for performing exact diagonalization and real- or imaginary-time evolution for quantum many-body systems. Using QuSpin, for example, it is possible to study the many-body localization and the quantum quenches in the Heisenberg chain. Moreover, QuSpin specifies the symmetries in the systems such as the total magnetization, the parity, the spin inversion, the translation symmetry, and their combinations.

To Detail

TRIQS/CTHYB

  • Level of openness 3 ★★★
  • Document quality 2 ★★☆

An open-source solver for the impurity problem based on the continuous-time quantum Monte Carlo method. Imaginary-time Green’s functions of the impurity Anderson model and the effective impurity model in the dynamical mean-field approximation can be calculated with high speed by using an efficient Monte Carlo algorithm. The main programs are written by C++, and can be called from Python scripts.

To Detail

BLOCK

  • Level of openness 3 ★★★
  • Document quality 2 ★★☆

An open-source application for quantum chemical calculation based on the density-matrix renormalization group (DMRG). For systems with a number of atomic orbitals, low-lying energy eigenvalues can be calculated in high accuracy of order of 1kcal/mol. This application is suitable especially to calculation of multi-orbital systems with one-dimensional topology such as chain-like or circular-like configuration of orbits.

To Detail

Rokko

  • Level of openness 3 ★★★
  • Document quality 2 ★★☆

A unified wrapper library for sequential and parallel versions of eigenvalue solvers. Sequential versions of dense-matrix diagonalization (LAPACK), parallel versions of dense-matrix diagonalization (EigenExa, ELPA, ScaLAPACK, etc.), and sequential/parallel versions of sparse-matrix diagonalization (SLEPc, Trilinos/Anasazi, etc.) can be installed quickly, and can be called from user’s program easily. Physical quantities written by eigenvalues or eigenvectors can also be evaluated by both sequential and parallel computation.

To Detail

McPhase

  • Level of openness 3 ★★★
  • Document quality 3 ★★★

A program package for physical properties related to magnetism. This application can evaluate various physical quantities of magnetics such as crystal fields, magnetic structures, thermodynamic quantities (magnetization, specific heat, etc.), and magnetic excitation. This package can also perform fitting analysis of neutron diffraction experiments and resonant X-ray diffraction experiments, and is helpful to experimentalists.

To Detail

Pomerol

  • Level of openness 3 ★★★
  • Document quality 1 ★☆☆

Pomerol is an app for calculation one- and two-body Green’s function at finite temperatures for the Hubbard-type model based on the full exact diagonalization. Pomerol is written in C++ and supports the hybrid parallelization (MPI+openMP).

To Detail

PFAPACK

  • Level of openness 3 ★★★
  • Document quality 2 ★★☆

Library for calculating Pfaffian (square root of determinant), which is defined for skew-symmetric matrices. Algorithms are implemented in several languages (Fortran, Python, Matlab, Mathematica) and users can choose favorite one. Interfaces for C are also provided.

To Detail

TRIQS

  • Level of openness 3 ★★★
  • Document quality 2 ★★☆

A library collection for numerical calculation of interacting quantum systems. Modern programming techniques are used in this library to implement common tasks for solving quantum impurity problems in dynamic mean-field theory in a simple and efficient way. It is written in C++ and Python, and includes tutorials using Jupyter Notebook.

To Detail