Deep learning bulk spacetime from boundary optical conductivity
arXiv:2401.00939 · doi:10.1007/JHEP03(2024)141
Abstract
We employ a deep learning method to deduce the \textit{bulk} spacetime from \textit{boundary} optical conductivity. We apply the neural ordinary differential equation technique, tailored for continuous functions such as the metric, to the typical class of holographic condensed matter models featuring broken translations: linear-axion models. We successfully extract the bulk metric from the boundary holographic optical conductivity. Furthermore, as an example for real material, we use experimental optical conductivity of , a representative of heavy fermion metals in strongly correlated electron systems, and construct the corresponding bulk metric. To our knowledge, our work is the first illustration of deep learning bulk spacetime from \textit{boundary} holographic or experimental conductivity data.
arXiv comment30 pages, 8 figures
References in corpus (101)
- Gauge Theory Correlators from Non-Critical String Theory
- Large N Field Theories, String Theory and Gravity
- Building an AdS/CFT superconductor
- Lectures on holographic methods for condensed matter physics
- Machine learning phases of matter
- Holographic Superconductors
- String Theory, Quantum Phase Transitions and the Emergent Fermi-Liquid
- Emergent quantum criticality, Fermi surfaces, and AdS2
- Non-Fermi liquids from holography
- A simple holographic model of momentum relaxation
- New theories of relativistic hydrodynamics in the LHC era
- A Non-Fermi Liquid from a Charged Black Hole; A Critical Fermi Ball
- Holographic Q-lattices
- Machine Learning in Nuclear Physics
- Optical Conductivity with Holographic Lattices
- Universal Resistivity from Holographic Massive Gravity
- Charge transport in holography with momentum dissipation
- Holographic duality and the resistivity of strange metals
- Momentum relaxation in holographic massive gravity
- Gravity Dual of Spatially Modulated Phase
- Momentum dissipation and effective theories of coherent and incoherent transport
- Holographic Lattices Give the Graviton a Mass
- Holographic striped phases
- Further Evidence for Lattice-Induced Scaling
- Novel metals and insulators from holography
- A quantum hydrodynamical description for scrambling and many-body chaos
- Black hole scrambling from hydrodynamics
- Many-body chaos and energy dynamics in holography
- The complex life of hydrodynamic modes
- Thermal diffusivity and chaos in metals without quasiparticles
- Holographic Metals and Insulators with Helical Symmetry
- Holographic Phonons
- Coherent/incoherent metal transition in a holographic model
- Solid Holography and Massive Gravity
- Diffusion and Chaos from near AdS horizons
- Machine Learning for Condensed Matter Physics
- Black hole elasticity and gapped transverse phonons in holography
- Horizon constraints on holographic Green's functions
- Holographic Axion Model: a simple gravitational tool for quantum matter
- Exploring QCD matter in extreme conditions with Machine Learning
- Machine Learning Spatial Geometry from Entanglement Features
- Deep Learning and Holographic QCD
- Complexified quasinormal modes and the pole-skipping in a holographic system at finite chemical potential
- Diffusivities bounds and chaos in holographic Horndeski theories
- Scrambling in Hyperbolic Black Holes: shock waves and pole-skipping
- AdS/CFT as a deep Boltzmann machine
- Pole-skipping with finite-coupling corrections
- A Unified Description of Translational Symmetry Breaking in Holography
- Colloquium: Hydrodynamics and holography of charge density wave phases
- Quantum Chaos in Topologically Massive Gravity
- Deep Learning and AdS/QCD
- Thermal diffusivity and butterfly velocity in anisotropic Q-Lattice models
- Classifying pole-skipping points
- Machine Learning Holographic Mapping by Neural Network Renormalization Group
- Fermionic pole-skipping in holography
- Pole-skipping of scalar and vector fields in hyperbolic space: conformal blocks and holography
- Slow relaxation and diffusion in holographic quantum critical phases
- Bound of diffusion constants from pole-skipping points: spontaneous symmetry breaking and magnetic field
- Holographic chaos, pole-skipping, and regularity
- Pole-skipping and Rarita-Schwinger fields
- Pole-skipping and zero temperature
- Machine learning for molecular dynamics with strongly correlated electrons
- Pole skipping in holographic theories with bosonic fields
- Holographic model for the anomalous scalings of the cuprates
- Holography, Hydrodynamization and Heavy-Ion Collisions
- Holography and magnetohydrodynamics with dynamical gauge fields
- Hydrodynamic diffusion and its breakdown near AdS quantum critical points
- Deep learning black hole metrics from shear viscosity
- Deriving dilaton potential in improved holographic QCD from meson spectrum
- The breakdown of magneto-hydrodynamics near AdS fixed point and energy diffusion bound
- Planar Black Holes in Holographic Axion Gravity: Islands, Page Times, and Scrambling Times
- Neural ODE and Holographic QCD
- Chaos and pole-skipping in a simply spinning plasma
- Deep Quantum Geometry of Matrices
- On the universality of AdS diffusion bounds and the breakdown of linearized hydrodynamics
- Quasi-normal modes of dyonic black holes and magneto-hydrodynamics
- Conformal field theories in with a helical twist
- Pole-skipping points in 2D gravity and SYK model
- Mixed State Entanglement for Holographic Axion Model
- Pole-skipping of gravitational waves in the backgrounds of four-dimensional massive black holes
- Holographic Spectral Functions with Momentum Relaxation
- AdS/Deep-Learning made easy: simple examples
- Homes' law in holographic superconductor with linear- resistivity
- Linear- resistivity at high temperature
- Collective dynamics and the Anderson-Higgs mechanism in a bona fide holographic superconductor
- Pole skipping in holographic theories with gauge and fermionic fields
- Learning the black hole metric from holographic conductivity
- Pole-Skipping in Rotating BTZ Black Holes
- Upper bound of the charge diffusion constant in holography
- Breakdown of hydrodynamics from holographic pole collision
- Reconstruction of the quasinormal spectrum from pole-skipping
- Holographic subregion complexity under thermal quench in Einstein-Maxwell-Axions theory with momentum relaxation
- Deep learning the holographic black hole with charge
- Inability of linear axion holographic Gubser-Rocha model to capture all the transport anomalies of strange metals
- Machine Learning Statistical Gravity from Multi-Region Entanglement Entropy
- Holographic complexity for black branes with momentum relaxation
- Aspects of univalence in holographic axion models
- Dual Geometry of Entanglement Entropy via Deep Learning
- Linear- resistivity from low to high temperature: axion-dilaton theories
- Probes of holographic thermalization in a simple model with momentum relaxation
- Deep Learning Metric Detectors in General Relativity
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