SparseIR.jl v1.0: optimal basis meets stable code
Today we are proud to release the first stable version of SparseIR.jl: a Julia package for optimal compression of many-body propagators on the imaginary (Euclidean) time axis as well as fast and stable diagrammatic computations.
Reasons to use IR basis functions and sparse sampling:
- The IR basis is a provably optimal basis for many-body propagators on the imaginary axis.
- The IR basis comes with a sparse, near-optimal set of imaginary times and frequencies on which diagrammatic equations can be solved.
- The IR basis has an intimate connection with the real-frequency axis: it is a powerful preprocessor and preconditioner for analytic continuation.