fermpy 0.0.1

Package for exactly solving low-dimensional fermionic Hamiltonians

FermPy

A Python package for exactly solving low-dimensional fermionic Hamiltonians. It was developed with the intention of constructing and diagonalizing matrix representations of low-dimensional, interacting fermionic Hamiltonians, in particular effective (surrogate) models that describe the low-energy (sub-gap) physics of the superconducting Anderson impurity model (see the arXiv preprint).

FermPy is based on NumPy and SciPy. Small systems use dense NumPy arrays as operator representations while large systems employ sparse Scipy arrays.

Functionality of this package includes:

• Construction of matrix representations of operators (H, S_z, etc.) from a basis (chosen from symmetry considerations)
• Diagonalization (numpy.linalg.eigh, scipy.sparse.linalg.eigh) of operators
• Calculating expectation values and thermal averages of operators