TensorNetwork: A Library for Physics and Machine Learning
This provides a tool for researchers in physics and machine learning to implement tensor network algorithms, but it is incremental as it builds on existing concepts without new breakthroughs.
The authors introduced TensorNetwork, an open-source library for implementing tensor network algorithms, which are sparse data structures used in quantum physics and machine learning, and demonstrated its API with applications in both fields.
TensorNetwork is an open source library for implementing tensor network algorithms. Tensor networks are sparse data structures originally designed for simulating quantum many-body physics, but are currently also applied in a number of other research areas, including machine learning. We demonstrate the use of the API with applications both physics and machine learning, with details appearing in companion papers.