Distributed tensor network library for efficient simulations of quantum circuits

Tensor networks are becoming progressively more important for classical simulations of quantum computing, as they provide an effective way to reduce the complexity of a typically exponential problem. Various tensor network libraries are available at small to medium scales, but there is a surprising lack of tools for large HPC simulations. As a result, I decided to develop my own library, with the goal to provide a universal approach to tensor distribution across multiple computational nodes. The project is still in development, but ultimately, I would like to come up with a way to scale up simulations to the maximum of current computing potential, which could be integrated into other existing tensor libraries.