Machine-learning emergent spacetime from linear response in future tabletop quantum gravity experiments

We introduce a novel interpretable neural network (NN) model designed to perform precision bulk reconstruction under the AdS/CFT correspondence. According to the correspondence, a specific condensed matter system on a ring is holographically equivalent to a gravitational system on a bulk disk, throu...

Full description

Saved in:
Bibliographic Details
Main Authors: Koji Hashimoto, Koshiro Matsuo, Masaki Murata, Gakuto Ogiwara, Daichi Takeda
Format: Article
Language:English
Published: IOP Publishing 2025-01-01
Series:Machine Learning: Science and Technology
Subjects:
Online Access:https://doi.org/10.1088/2632-2153/adb09f
Tags: Add Tag
No Tags, Be the first to tag this record!