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#

kernel-polynomial-method

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DMRGPy is a Python library to compute quasi-one-dimensional spin chains and fermionic systems using matrix product states with DMRG as implemented in ITensor. Most of the computations can be performed both with DMRG and exact diagonalization for small systems, which allows one to benchmark the results.

  • UpdatedOct 23, 2025
  • C++

Package to perform tight binding calculation in tight binding models, with a friendly user interface

  • UpdatedAug 6, 2021
  • Python

Python library to compute different properties of tight binding models

  • UpdatedAug 31, 2021
  • Python
emate

eMaTe can estimate the spectral density and trace functions even in matrices or graphs (undirected or directed) with million of nodes. (kernel polynomial method and SLQ)

  • UpdatedMar 24, 2023
  • Python

Python package implementing the kernel polynomial method

  • UpdatedOct 12, 2020
  • Python

Toolkit with Kernel Polynomial Method based modules for quantum physics simulations.

  • UpdatedMar 15, 2024
  • Python

Kernel polynomial method (KPM) applied to BdG Hamiltonian.

  • UpdatedMay 7, 2025
  • Jupyter Notebook

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