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UID:pretalx-juliacon2023-TC7TVY@pretalx.com
DTSTART;TZID=EST:20230728T101000
DTEND;TZID=EST:20230728T102000
DESCRIPTION:In this talk\, I present a collection of Julia packages develop
 ed for Tensor Network simulation experiments ([Tenet.jl](https://github.co
 m/bsc-quantic/Tenet.jl) and [EinExprs.jl](https://github.com/bsc-quantic/E
 inExprs.jl)). We examine which Julia features and design choices enabled u
 s to offer an intuitive interface for users\, increasing the tunability an
 d flexibility without loss of performance.
DTSTAMP:20260310T065548Z
LOCATION:32-D463 (Star)
SUMMARY:Tenet.jl: Composable Tensor Network Library - Sergio Sánchez Ramí
 rez
URL:https://pretalx.com/juliacon2023/talk/TC7TVY/
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