An exact diagonalization package for efficiently solving quantum spin 1/2 lattice models in almost fully spin-polarized sectors. QS3 can treat such systems with quite large system sizes, over 1000 sites. It supports calculations of wavenumber-dependence of energy-dispersion and dynamical spin structure factor.
3D drawing software for molecules and crystals. QtDraw supports drawings of 3D objects such as atomic orbitals, polygons and spline curves. By installing MultiPie, users can draw the above objects with the help of symmetry operations and irreducible representations. These functionalities can be called by Python code.
An application for evaluation of thermoelectric properties and its visualization. Seebeck coefficients and Peltier coefficients can be calculated from output of the first-principles applications, OpenMX and TranSIESTA. Obtained results as well as electron density and density of states can be visualized.
Open-source program for first-principles calculation based on pseudo-potential and plane-wave basis. This package performs electronic-state calculation with high accuracy based on density functional theory. In addition to basic-set programs, many core-packages and plugins are included. This package can be utilized for academic research and industrial development, and also supports parallel computing.
Code for unfolding first-principles electronic energy bands calculated using supercells into the corresponding primary-cell Brillouin zone. It uses maximally-localized Wannier functions calculated using Wannier90.
QuCumber is an open-source Python package that implements neural-network quantum state reconstruction of many-body wavefunctions from measurement data such as magnetic spin projections, orbital occupation number. Given a training dataset of measurements, QuCumber discovers the most likely quantum state compatible with the measurements by finding the optimal set of parameters of a restricted Boltzmann machine (RBM).
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An application for first-principles calculation based on the all-electron method. This application implements not only normal electronic state calculation (band calculation) but also a quasi-particle GW method for self-consistent (or one-shot) calculation of excitation spectrum and quasi-particle band. Combining with dynamical mean-field theory, self-consistent calculation including many-body effect can also be performed.
Easy-to-use and fast Python library for simulation of quantum information and quantum many-body systems. It provides Tensor module for tensor network simulations and Matrix module for “exact” quantum simulations.
A collection of software tools for molecular dynamics calculations. Various interatomic potentials and tight binding models are implemented, and numerous external applications can be invoked. It also supports training and evaluation of GAP (Gaussian Approximation Potential), which is a form of machine learning potential.
C ++ / Python library for simulation of quantum computer. Users can perform simulations of quantum circuits constructed from variational quantum circuits and noisy quantum gates for the development of NISQ devices. It also supports OpenMP and GPU parallelization.