PIRSA:25100047 Scientific Series Quantum Information

DOI10.48660/25100047

Series: Quantum Information

Rath, P. (2025). Tensor Network lessons for Gravity. Perimeter Institute. https://pirsa.org/25100047

Rath, Pratik. Tensor Network lessons for Gravity. Perimeter Institute, Oct. 01, 2025, https://pirsa.org/25100047 

@misc{ pirsa_PIRSA:25100047,
  doi = {10.48660/25100047},
  url = {https://pirsa.org/25100047},
  author = {Rath, Pratik},
  keywords = {Quantum Information},
  language = {en},
  title = {Tensor Network lessons for Gravity},
  publisher = {Perimeter Institute},
  year = {2025},
  month = {oct},
  note = {PIRSA:25100047 see, \url{https://pirsa.org}}
}

Abstract

The AdS/CFT duality has been extremely useful in understanding quantum gravity. Tensor networks are a toy model of holography that have provided valuable lessons that have been imported to AdS/CFT. In particular, random tensor networks have a quantitative connection with fixed-area states in the gravitational path integral. This has allowed for a translation of various tensor network results to gravity that I will discuss, including an understanding of the Renyi entropy, entanglement negativity, entanglement wedges for bulk regions and resolving entropic paradoxes using wormholes.

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