PIRSA:19060029 Conference Condensed Matter

DOI10.48660/19060029

Conference/School: Many-Body States and Dynamics Workshop II

Milsted, A. (2019). TensorNetwork: accelerating tensor network computations and improving the coding experience. Perimeter Institute. https://pirsa.org/19060029

Milsted, Ashley. TensorNetwork: accelerating tensor network computations and improving the coding experience. Perimeter Institute, Jun. 13, 2019, https://pirsa.org/19060029 

@misc{ pirsa_PIRSA:19060029,
  doi = {10.48660/19060029},
  url = {https://pirsa.org/19060029},
  author = {Milsted, Ashley},
  keywords = {Condensed Matter},
  language = {en},
  title = {TensorNetwork: accelerating tensor network computations and improving the coding experience},
  publisher = {Perimeter Institute},
  year = {2019},
  month = {jun},
  note = {PIRSA:19060029 see, \url{https://pirsa.org}}
}

Abstract

Tensor networks are powerful computational tools, widely used in condensed matter physics, and increasingly in high-energy physics, with promising applications to machine learning problems. Developed in collaboration with Google and X, we present TensorNetwork: a new software package that makes it easier to code tensor network algorithms and, by using a framework like TensorFlow as a backend, to accelerate computations using specialized hardware (GPUs, TPUs) and integrate tensor networks into machine-learning projects.

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