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.

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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).

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DiracQ

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

DiracQ is a Mathematica nodebook for calculating commutation relations, which frequently appear in the quantum mechanics. DiracQ can treat canonical operators (canonical momentum and canonical position operators), Fermion operators, and Boson operators.

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z-Pares

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

z-Pares is an app for obtaining the eigenvalues and eigenvectors for general sparse matrices using the contour integrals in the complex plane, i.e., Sakurai-Sugiura method. z-Parels is written in fortran 90/95 and supports the large scale parallelization via the two-level MPI distributed parallelism.

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NetKet

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

NetKet is an open-source project delivering cutting-edge methods for the study of many-body quantum systems with artificial neural networks and machine learning techniques. Users can perform machine learning algorithms to find the ground-state of many-body Hamiltonians such as supervised learning of a given state and optimization of neural network states by using the variational Monte Carlo method.

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Qulacs

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

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.

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LIQ𝑈𝑖⏐〉 (Language-Integrated Quantum Operations, LIQUID)

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

LIQ𝑈𝑖⏐〉is a software design architecture for quantum computing. It includes a programming language designed for quantum algorithms. By using LIQ𝑈𝑖⏐〉, users can design quantum circuits and perform simulations such as quantum teleportation and quantum chemistry.

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OpenFermion

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

Open-source software for quantum computing in quantum chemistry. OpenFermion can map the ab-initio Hamiltonian of an target molecular or material in second quantization to that in qubits. Parameters of the Hamiltonian is estimated by using other software for first-principles calculations. OpenFermion also provides users plugins to support integration with apps for quantum circuits and quantum simulators.

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ComDMFT

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

ComDMFT is a massively parallel computational package to study the electronic structure of correlated-electron systems. Users can perform a parameter-free method based on ab initio linearized quasiparticle self-consistent GW (LQSGW) and dynamical mean field theory (DMFT).

 

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AMULET

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

AMULET is a collection of tools for a first principles calculation of physical properties of strongly correlated materials. It is based on density functional theory (DFT) combined with dynamical mean-field theory (DMFT). Users can calculate physical properties of chemically disordered compounds and alloys within CPA+DMFT formalism.

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