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812 commits behind the upstream repository.
Joseph Weston's avatar
Joseph Weston authored
It is now impossible to reduce the number of random vectors or moments.
It is also no longer possible to set the number of energy points used by
the method -- this can be supplied by providing a sequence of energies
when calling the KPM object. We replace the 'increase_energy_resolution'
and 'increase_accuracy' methods by 'add_moments' and 'add_vectors'.
The tests have also been updated to reflect these changes.
3f675e33
History

Kwant is a free (open source) Python package for numerical calculations on tight-binding models with a strong focus on quantum transport. It is designed to be flexible and easy to use. Thanks to the use of innovative algorithms, Kwant is often faster than other available codes, even those entirely written in the low level FORTRAN and C/C++ languages.

Tight-binding models can describe a vast variety of systems and phenomena in quantum physics. Therefore, Kwant can be used to simulate

  • metals,
  • graphene,
  • topological insulators,
  • quantum Hall effect,
  • superconductivity,
  • spintronics,
  • molecular electronics,
  • any combination of the above, and many other things.

Kwant can calculate

  • transport properties (conductance, noise, scattering matrix),
  • dispersion relations,
  • modes,
  • wave functions,
  • various Green’s functions,
  • out-of-equilibrium local quantities.

Other computations involving tight-binding Hamiltonians can be implemented easily.

See the Kwant web site for the latest stable version. The current development version is available via the Kwant gitlab instance. Contributions are welcome.

A mailing list exists for general discussions related to Kwant. Please report bugs and other issues using the issue tracker.

See also in this directory: INSTALL.rst, LICENSE.rst, AUTHORS.rst, CITING.rst, CONTRIBUTE.rst.