The TensorNetwork Collection
An open-source library for efficient tensor calculations
Many of the world’s toughest scientific challenges involve dealing with the complexity of quantum systems. To deal with this, data structures called tensor networks are used. Tensor networks are increasingly finding applications in machine learning (ML), but have not been widely used because 1) we have not had a production-level tensor network library to run tensor network algorithms at scale, and 2) most of the tensor network literature is geared toward physics applications.
In order to address these issues, in 2019 we released TensorNetwork, a new open source library to improve the efficiency of tensor calculations, developed in collaboration with the Perimeter Institute for Theoretical Physics. We introduced TensorNetwork in two papers, both shared here.
