Welcome & Getting Started 2025

[prckent]

This is the main repository for the open source QMCPACK code.

Documentation

See the repository README.md and latest version of the QMCPACK manual for full documentation including installation instructions.

Learning Quantum Monte Carlo (QMC)

The most recent beginner tutorial is archived at https://github.com/QMCPACK/qmc_workshop_2021 . This includes a downloadable virtual machine with all necessary dependencies (e.g. Quantum ESPRESSO, PySCF), so QMC calculations can be tried out in minutes. A new tutorial is planned for 2025.

For our most recent workshop materials and videos see https://github.com/QMCPACK/qmcpack_workshop_2023 .

Getting Help

Requests for help, feature improvements, bug reports and general questions and discussion are welcome as GitHub issues. e.g. If you have installation trouble or wonder if a specific feature is suitable for your science problem.

You can also use the QMCPACK Google Group, or contact a developer by email. GitHub issues are preferred since anyone can easily participate and we can most easily link the eventual solution.

Thanks for being part of the community.

QMCPACK Developers.

Replaces #4895