# Quantum fields as deep learning

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Referee this paper: arXiv:1708.07408 by Jae-Weon Lee

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requested Feb 25, 2018

paper authored Aug 18, 2017 to physics

Abstract: "In this essay we conjecture that quantum fields such as the Higgs field is related to a restricted Boltzmann machine for deep neural networks. An accelerating Rindler observer in a flat spacetime sees the quantum fields having a thermal distribution from the quantum entanglement, and a renormalization group process for the thermal fields on a lattice is similar to a deep learning algorithm. This correspondence can be generalized for the KMS states of quantum fields in a curved spacetime like a black hole.

In Conclusions: "Our conjecture also implies a surprising possibility that the quantum fields, and hence matter in the universe, can memorize information and even can perform self-learning to some extend like DNN in a way consistent with the Strong Church-Turing thesis."

I'm a little afraid when I read "quantum entanglement is suggested to be a source of dark energy, gravity and the spacetime itself.". But, surprisingly, there is a full compatible Bohr entanglement and at the same time hidden variables. I'm hungry of a good review.

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