PIRSA:19070017 Conference Condensed Matter

DOI10.48660/19070017

Conference/School: Machine Learning for Quantum Design

Wang, L. (2019). Differentiable Programming Tensor Networks and Quantum Circuits. Perimeter Institute. https://pirsa.org/19070017

Wang, Lei. Differentiable Programming Tensor Networks and Quantum Circuits. Perimeter Institute, Jul. 12, 2019, https://pirsa.org/19070017 

@misc{ pirsa_PIRSA:19070017,
  doi = {10.48660/19070017},
  url = {https://pirsa.org/19070017},
  author = {Wang, Lei},
  keywords = {Condensed Matter},
  language = {en},
  title = {Differentiable Programming Tensor Networks and Quantum Circuits},
  publisher = {Perimeter Institute},
  year = {2019},
  month = {jul},
  note = {PIRSA:19070017 see, \url{https://pirsa.org}}
}

Abstract

Differentiable programming makes the optimization of a tensor network much cheaper (in unit of brain energy consumption) than before [e.g. arXiv: 1903.09650]. This talk mainly focuses on the technical aspects of differentiable programming tensor networks and quantum circuits with Yao.jl (https://github.com/QuantumBFS/Yao.jl). I will also show how quantum circuits can help with contracting and differentiating tensor networks.

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