I'm interested in learning tensor networks, I've been reading some introductory articles about this. The problem is that these articles mostly discuss the theoretical definitions for tensor networks such as MPS, PEPS, etc.. The problem is that discussions regarding how to program these for obtaining ground states in condensed matter physics are rather concise. Even for a simple wave function I'm lost on how to calculate the SVD (the index juggling confuses me a bit). I'm also interested in learning MERA and TEBD, but again, the discussions are mainly theoretical.

Are there any articles or maybe blogs discussing implementations of Tensor networks in code? maybe in python so these codes are easily accesible?

I'm interested in learning tensor networks, I've been reading some introductory articles about this. The problem is that these articles mostly discuss the theoretical definitions for tensor networks such as MPS, PEPS, etc.. The problem is that discussions regarding how to program these for obtaining ground states in condensed matter physics are rather concise. Even for a simple wave function I'm lost on how to calculate the SVD (the index juggling confuses me a bit). I'm also interested in learning MERA and TEBD, but again, the discussions are mainly theoretical.

Are there any articles or maybe blogs discussing implementations of Tensor networks in code? maybe in python so these codes are easily accesible? What would be a good way to learn how to program this algorithms?