Simulating dynamics of open quantum systems is sometimes a significant challenge, despite the availability of various exact or approximate methods.
Particularly when dealing with complex systems, the huge computational cost will largely limit the applicability of these methods.
WeiDMD is a Python package that uses Dynamic Mode Decomposition for a data-driven model simplification based on spatiotemporal coherent structures.
whether the external field is involved or not, the DMD can give accurate prediction of the result compared with the traditional propagations, and simultaneously reduce the required computational cost.
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