TensorNetwork: A Library for Physics and Machine Learning

Tensor networks are sparse data structures engineered for the efficient representation and manipulation of very high-dimensional data. They have largely been developed and used in condensed matter physics [2-19], quantum chemistry [20-23], statistical mechanics [24-27], quantum field theory [28, 29], and even quantum gravity and cosmology [30-34]. Substantial progress has been made recently in applying tensor networks to machine learning.