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/index.php/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.