41 citations · 161 across the 12 of their papers we have counts for
12 papers
AdS/Deep-Learning made easy II: neural network-based approaches to holography and inverse problems
Hyun-Sik Jeong, Hanse Kim, Keun-Young Kim +3
We apply physics-informed machine learning (PIML) to solve inverse problems in holography and classical mechanics, focusing on neural ordinary differential equations (Neural ODEs)…
Brickwall model for hyperbolic black holes and chaos
Hyun-Sik Jeong, Keun-Young Kim, Gaya Yun +1
We study the quantum chaotic behavior of black holes within the brickwall model, focusing on probe scalar fields in ()-dimensional hyperbolic AdS black holes. The brickwall mo…
Toward Krylov-based holography in double-scaled SYK
Yichao Fu, Hyun-Sik Jeong, Keun-Young Kim +1
Building on the duality between Krylov complexity and geodesic length in Jackiw-Teitelboim and sine-dilaton gravity, we develop a precise holographic dictionary for quantities in t…
Quantum Chaos Diagnostics for non-Hermitian Systems from Bi-Lanczos Krylov Dynamics
Matteo Baggioli, Kyoung-Bum Huh, Hyun-Sik Jeong +3
In Hermitian systems, Krylov complexity has emerged as a powerful diagnostic of quantum dynamics, capable of distinguishing chaotic from integrable phases, in agreement with establ…
Singular Value Decomposition and Its Blind Spot for Quantum Chaos in Non-Hermitian Sachdev-Ye-Kitaev Models
Matteo Baggioli, Kyoung-Bum Huh, Hyun-Sik Jeong +3
The study of chaos and complexity in non-Hermitian quantum systems poses significant challenges due to the emergence of complex eigenvalues in their spectra. Recently, the singular…
Deep learning-based holography for T-linear resistivity
Byoungjoon Ahn, Hyun-Sik Jeong, Chang-Woo Ji +2
We employ deep learning within holographic duality to investigate -linear resistivity, a hallmark of strange metals. Utilizing Physics-Informed Neural Networks, we incorporate b…
Renyi reflected entropy and entanglement wedge cross section with cosmic branes in AdS/BCFT
Byoungjoon Ahn, Sang-Eon Bak, Keun-Young Kim +1
In this study, we calculate the correction to the reflected entropy for two adjacent intervals on a half-infinite line within the AdS/BCFT framework, where is a R…
Krylov complexity as an order parameter for quantum chaotic-integrable transitions
Matteo Baggioli, Kyoung-Bum Huh, Hyun-Sik Jeong +2
Krylov complexity has recently emerged as a new paradigm to characterize quantum chaos in many-body systems. However, which features of Krylov complexity are prerogative of quantum…
Spread and Spectral Complexity in Quantum Spin Chains: from Integrability to Chaos
Hugo A. Camargo, Kyoung-Bum Huh, Viktor Jahnke +3
We explore spread and spectral complexity in quantum systems that exhibit a transition from integrability to chaos, namely the mixed-field Ising model and the next-to-nearest-neigh…
Holographic reconstruction of black hole spacetime: machine learning and entanglement entropy
Byoungjoon Ahn, Hyun-Sik Jeong, Keun-Young Kim +1
We investigate the bulk reconstruction of AdS black hole spacetime emergent from quantum entanglement within a machine learning framework. Utilizing neural ordinary differential eq…
On pole-skipping with gauge-invariant variables in holographic axion theories
Yongjun Ahn, Viktor Jahnke, Hyun-Sik Jeong +3
We study the pole-skipping phenomenon within holographic axion theories, a common framework for studying strongly coupled systems with chemical potential () and momentum relaxat…
Deep learning bulk spacetime from boundary optical conductivity
Byoungjoon Ahn, Hyun-Sik Jeong, Keun-Young Kim +1
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, ta…