Deep learning emergent spacetime from fermionic spectral functions in holography

arXiv:2609.18566 · hep-th, cond-mat.str-el, cs.LG · Submitted 2026-09-16 · Read on arXiv

hep-th, cond-mat.str-el, cs.LG

Submitted: 2026-09-16

Updated: 2026-09-16

Comments: 15 pages, 9 figures

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Degeneracy — 23× in this paper · explained in 3 episodes
• Adam — 7× in this paper · explained in 2 episodes
• Inverse Problem — 7× in this paper · explained in 2 episodes
• Benchmark — 4× in this paper · explained in 2 episodes
• Phase Transitions — 4× in this paper · explained in 2 episodes
• Loss Function — 3× in this paper · explained in 2 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• Activation Function — 2× in this paper · explained in 1 episode
• Fidelity — 2× in this paper · explained in 2 episodes
• Interpretability — 2× in this paper · explained in 15 episodes
• National Research Foundation of Korea — 2× in this paper
• Regularization — 2× in this paper · explained in 3 episodes
• Universality Class — 2× in this paper · explained in 2 episodes
• AdS2 geometry — 1× in this paper · explained in 1 episode
• Angle-Resolved Photoemission Spectroscopy (ARPES) — 1× in this paper · explained in 1 episode
• Consistency — 1× in this paper · explained in 3 episodes
• Entanglement — 1× in this paper · explained in 3 episodes
• Entanglement Entropy — 1× in this paper · explained in 2 episodes
• Hubbard Model — 1× in this paper · explained in 3 episodes
• Quantization — 1× in this paper · explained in 12 episodes
• Robustness — 1× in this paper · explained in 5 episodes

Sources

• A Non-Fermi Liquid from a Charged Black Hole; A Critical Fermi Ball
• Non-Fermi liquids from holography
• String Theory, Quantum Phase Transitions and the Emergent Fermi-Liquid
• Emergent quantum criticality, Fermi surfaces, and AdS2
• Deep Learning and AdS/CFT
• Lectures on holographic non-Fermi liquids and quantum phase transitions
• On Robustness of Neural Ordinary Differential Equations
• Deep Learning and AdS/QCD
• Neural ODE and Holographic QCD
• Machine learning holographic black hole from lattice QCD equation of state
• Deep learning black hole metrics from shear viscosity
• Learning the black hole metric from holographic conductivity
• Phase Diagram from Nonlinear Interaction between Superconducting Order and Density: Toward Data-Based Holographic Superconductor
• Deep learning bulk spacetime from boundary optical conductivity
• Deep learning-based holography for T-linear resistivity
• Holographic reconstruction of black hole spacetime: machine learning and entanglement entropy
• Real-time response in AdS/CFT with application to spinors
• AdS/Deep-Learning made easy II: neural network-based approaches to holography and inverse problems
• Holographic Learning from Fermionic Spectra: Application to Strange Metal Phenomenology
• Neural Ordinary Differential Equations

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