PIRSA:25100047

Tensor 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

Talk numberPIRSA:25100047
Source RepositoryPIRSA
Collection

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.