PIRSA:23030101 Scientific Series Other

DOI10.48660/23030101

Series: Machine Learning Initiative

Aarts, G. (2023). Machine learning for lattice field theory and back. Perimeter Institute. https://pirsa.org/23030101

Aarts, Gert. Machine learning for lattice field theory and back. Perimeter Institute, Mar. 10, 2023, https://pirsa.org/23030101 

@misc{ pirsa_PIRSA:23030101,
  doi = {10.48660/23030101},
  url = {https://pirsa.org/23030101},
  author = {Aarts, Gert},
  keywords = {Other},
  language = {en},
  title = {Machine learning for lattice field theory and back},
  publisher = {Perimeter Institute},
  year = {2023},
  month = {mar},
  note = {PIRSA:23030101 see, \url{https://pirsa.org}}
}

Abstract

Recently, machine learning has become a popular tool to use in fundamental science, including lattice field theory. Here I will report on some recent progress, including the Inverse Renormalisation Group and quantum-field theoretical machine learning, combining insights of lattice field theory and machine learning in a hopefully constructive manner.

Zoom link:  https://pitp.zoom.us/j/95456375462?pwd=WmtZMloyclAyZzBwVEZHQ3gxVnkrUT09

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