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...
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Main Authors: | Koji Hashimoto, Koshiro Matsuo, Masaki Murata, Gakuto Ogiwara, Daichi Takeda |
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Format: | Article |
Language: | English |
Published: |
IOP Publishing
2025-01-01
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Series: | Machine Learning: Science and Technology |
Subjects: | |
Online Access: | https://doi.org/10.1088/2632-2153/adb09f |
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