Скачать или смотреть HEP-TN/GQFI Virtual Seminar: Jon Sorce "Status Update on Tensor Networks in Quantum Gravity"

In recent years, the "tensor networks" used to describe condensed matter systems have been discovered to share many qualitative features in common with holographic theories of quantum gravity. Studying these features in tensor networks has helped us build intuition for how the corresponding features should work in quantum gravity; most importantly, tensor networks helped us develop a tractable framework for understanding holographic quantum error correction. A little over a year ago (1812.01171), Jon Sorce (Stanford) and collaborators proved that every geometric state in a holographic theory of quantum gravity can be represented as a tensor network, explaining the success of the "toy model." In this talk, Jon explains this proof, comments on its implications, and discusses recent work from other authors on the tensor network/holography correspondence. The aim of the talk is to communicate the lessons from tensor networks that should inform our general approach to quantum gravity research; it should be intelligible to an audience with little to no tensor-network experience.



This talk is primarily based on arXiv:1812.01171 [https://arxiv.org/abs/1812.01171].



The seminar is part of an online series on Tensor Networks in High Energy Physics (HEP-TN). For more details, and schedule of upcoming talks, visit: www.heptnseminar.org.


This talk was recorded on April 15, 2020 at the Albert Einstein Institute in Potsdam-Golm.