XinLJ66 / Holography-and-Deep-Learning

Use deep learning to reconstruct the bulk geometry in AdS/CFT framework.

Reconstruction of Bulk Geometry by Deep Learning with AdS/CFT Framework

AdS/CFT correspondence is a powerful mathematical tool, but the dualities are ambiguous in general. Phys. Rev. D 98, 046019 provied a method, using deep learning, to find the actual bulk geometry by receiving the experimental data in the field theory. Here, we improve the method in paper, reconstructing a more accurate bulk metric and changing $h(\eta)$ to continuous function.

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