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TORCHAMI: CPU/GPU Library for Algorithmic Matsubara Integration
TORCHAMI: CPU/GPU Library for Algorithmic Matsubara Integration
Similar to libami below, TORCHAMI uses pytorch for both CPU/GPU parallelization. Also includes a basic framework for constructing and labelling Feynman diagrams.
Full source available on GITHUB with documentation on ReadTheDocs.
Find the publication on the arXiv.
LIBAMI: Library for Algorithmic Matsubara Integration
LIBAMI: Library for Algorithmic Matsubara Integration
The library provides quick functions to evaluate a sequence of nested Matsubara sums, a key part of Feynman diagrammatic methods.
Full source available on GITHUB with documentation on ReadTheDocs.
Find the publication on the arXiv.
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