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QMCkl: Quantum Monte Carlo Kernel Library

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The domain of quantum chemistry needs a library in which the main kernels of Quantum Monte Carlo (QMC) methods are implemented. In the library proposed in this project, we expose the main algorithms in a simple language and provide a standard API and tests to enable the development of high-performance QMCkl implementations taking advantage of modern hardware.

See the source code to read the documentation.


European flag TREX: Targeting Real Chemical Accuracy at the Exascale project has received funding from the European Unions Horizon 2020 - Research and Innovation program - under grant agreement no. 952165. The content of this document does not represent the opinion of the European Union, and the European Union is not responsible for any use that might be made of such content.