2 papers
hep-th2024
Machine-learning emergent spacetime from linear response in future tabletop quantum gravity experiments
Koji Hashimoto, Koshiro Matsuo, Masaki Murata +2
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…
hep-th2024
Coarse-graining black holes out of equilibrium with boundary observables on time slice
Daichi Takeda
In black hole thermodynamics, defining coarse-grained entropy for dynamical black holes has long been a challenge, and various proposals, such as generalized entropy, have been exp…