Video URL
https://pirsa.org/25100047Tensor Network lessons for Gravity
APA
Rath, P. (2025). Tensor Network lessons for Gravity. Perimeter Institute for Theoretical Physics. https://pirsa.org/25100047
MLA
Rath, Pratik. Tensor Network lessons for Gravity. Perimeter Institute for Theoretical Physics, Oct. 01, 2025, https://pirsa.org/25100047
BibTex
@misc{ scivideos_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 for Theoretical Physics},
year = {2025},
month = {oct},
note = {PIRSA:25100047 see, \url{https://scivideos.org/pirsa/25100047}}
}
Pratik Rath UC Berkeley
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.