Quantum fields as deep learning
General Physics
2020-06-03 v1 High Energy Physics - Theory
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.
Cite
@article{arxiv.1708.07408,
title = {Quantum fields as deep learning},
author = {Jae-Weon Lee},
journal= {arXiv preprint arXiv:1708.07408},
year = {2020}
}