w2dynamics

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

w2dynamics is a hybridization-expansion continuous-time (CT-HYB) quantum Monte Carlo package, developed jointly in Wien and Würzburg. Users can calculate local two- and four-pointfermionic Green’s functions of multi-orbital impurity models. This application also provides DMFT Python code and an interface to wannier90 generated Hamiltonians.

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QuCumber

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

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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RESPACK

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

RESPACK is a first-principles calculation software for evaluating the interaction parameters of materials. It is able to calculate the maximally localized Wannier functions, the RPA response functions, and frequency-dependent electronic interaction parameters. RESPACK receives its input data from a band calculation using norm-conserving pseudopotentials with plane-wave basis sets. Utilities which convert a result of xTAPP or Quantum ESPRESSO to an input for RESPACK are prepared. The software has been used successfully for a wide range of materials such as metals, semiconductors, transition-metal compounds, and organic compounds. It supports OpenMP / MPI parallelization.

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TensorNetwork

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

An open source library for implementing tensor networks. It is developed based on TensorFlow and is designed to be easily used by experts in the field of machine learning as well as in the field of physics. In addition to TensorFlow, it includes wrappers for JAX, PyTorch, and Numpy.

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Sunny

  • Level of openness 3 ★★★
  • Document quality 3 ★★★
Sunny.jl is a Julia package designed for modeling atomic-scale magnetism, enabling simulations of both equilibrium and non-equilibrium magnetic phenomena from microscopic models. It facilitates the calculation of dynamical spin structure factors, allowing for direct comparisons with experimental scattering data such as neutron or x-ray measurements.
It extends Landau-Lifshitz spin dynamics to treat spins as SU(N) coherent states, making it particularly effective for modeling materials with strong single-ion anisotropy. It provides robust Monte Carlo algorithms for sampling spin configuration in both equilibrium and non-equilibrium dynamics, making it possible to study a wide range of physical phenomena.
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TurboGenius

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

Python wrapper to manage jobs for the ab initio Monte Carlo package TurboRVB. By combining with a workflow management application, TurboWorkflows,  users can perform high-throughput calculations based on TurboRVB.

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Quimb

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

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.

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TC++

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

TC++ is open-source software for ab initio calculations using the transcorrelated (TC) method. In TC++, users can take account of electron correlations in a Jastrow correlation factor based on the TC method. Electronic structures obtained by Quantum ESPRESSO can be used as an initial state of TC++.

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BEEMs

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

BEEMs is a Bayesian optimization tool of Effective Models (BEEMs). In BEEMs, the quantum lattice model solver HΦ is used as a forward problem solver to compute the magnetisation curve based on the given Hamiltonian. The deviation between the obtained magnetisation curve and the target magnetisation curve is used as a cost function, and the Bayesian optimization library PHYSBO is used to propose the next candidate point of the Hamiltonian for searching the minimum cost function

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H-wave

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

H-wave is a Python package for performing unrestricted Hartree-Fock (UHF) calculations and random phase approximation (RPA) calculations for itinerant electron systems. H-wave supports UHF calculations both in real- and wavenumber-spaces. H-wave supports one-body and two-body interactions in the Wannier90 format as inputs for H-wave, and thus users can solve ab initio effective Hamiltonians derived from  Wannier90/RESPACK calculations based on UHF and RPA methods.

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