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작성자 CQUeST 날짜 2018-03-24
이메일 cquest@sogang.ac.kr
제목 [Seminar] Mar. 29 (Thu), 2:30 pm, Koji Hashimoto
DATE & TIME   Mar. 29 (Thu), 2:30 pm
PLACE   R1029
SPEAKER   Koji Hashimoto
HOST   Bum-Hoon Lee
INSTITUTE   Osaka University
TITLE   Deep Learning and AdS/CFT

  We present a deep neural network representation of the AdS/CFT correspondence, and demonstrate the emergence of the bulk metric function via the learning process for given data sets of response in boundary quantum field theories. The emergent radial direction of the bulk is identified with the depth of the layers, and the network itself is interpreted as a bulk geometry. Our network provides a data-driven holographic modeling of strongly coupled systems. With a scalar ¥phi^4 theory with unknown mass and coupling, in unknown curved spacetime with a black hole horizon, we demonstrate our deep learning (DL) framework can determine them which fit given response data. This AdS/DL correspondence not only enables gravity modeling of strongly correlated systems, but also sheds light on a hidden mechanism of the emerging space in both AdS and DL. The talk is based on our recent paper, in collaboration with Sotaro Sugishita, Akinori Tanaka, and Akio Tomiya. https://arxiv.org/abs/1802.08313

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