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Tensor Network Methods with Julia

This is a series of tutorials on tensor network methods and their applications in quantum physics as well as statistical mechanics. It illustrates the theory, and aims to give hands-on practise by providing Julia code examples, as well as showcasing the software libraries that have been developed.

The lectures have been designed and written by Jacob Bridgeman, Lander Burgelman, Lukas Devos, Jutho Haegeman, Daan Maertens, Bram Vancraeynest-De Cuiper and Kevin Vervoort.