compnal 0.0.6

Condensed Matter Physics Numerical Analytics Libirary

Description

COndensed Matter Physics Numerical Analytics Library (COMPNAL) is a numerical calculation library in the field of condensed matter physics. This library aims to provide a comprehensive set of numerical methods and algorithms tailored for analyzing various condensed matter systems.

API Reference

C++ Reference

Features

COMPNAL can calculate the following models on the following lattices by the following solvers.

Lattice

• One-dimensional chain
• Two-dimensional square lattice
• Three-dimensional cubic lattice
• Fully-connected lattice

Model

Classical models

• Ising model
• Polynomial Ising model

Solver

For Classical models

• Classical Monte Carlo method
  • Single spin flip
  • Parallel tempering

Upcoming Features

We are actively working on expanding COMPNAL with the following upcoming features.

Lattice

• Two-dimensional triangular lattice
• Two-dimensional honeycomb lattice
• User-defined lattice

Model

• Classical model

  • Potts model

• Quantum model

  • Transverse field Ising model
  • Heisenberg model
  • Hubbard model
  • Kondo Lattice model

Algorithm

• Classical Monte Carlo method
  • Suwa-Todo algorithm
  • Wolff algorithm
  • Swendsen-Wang algorithm
• Exact Diagonalization
  • Lanczos method
  • Locally Optimal Block Preconditioned Conjugate Gradient method
• Density Matrix Renormalization Group

Installation

Install from PyPI

Only for Linux and MacOS on x86_64.

pip install compnal

For MacOS on Apple Silicon, please follow the instructions below.

Install from GitHub

To install the latest release of compnal from the source, use the following command:

pip install git+https://github.com/K-Suzuki-Jij/compnal.git

Before installation, make sure that the following dependencies are installed.

Build from source

COMPNAL depends on the following libraries.

• Eigen
• pybind11
• OpenMP

On MacOS

First, install the dependencies using Homebrew.

brew install cmake libomp

Then, clone this repository and install COMPNAL.

python -m pip install . -vvv

Run the test to check if the installation is successful.

python -m pytest tests

On Linux

First, install the dependencies using apt.

sudo apt install cmake

Then, clone this repository and install COMPNAL.

python -m pip install . -vvv

Run the test to check if the installation is successful.

python -m pytest tests