Quantum fields as deep learning

Jae-Weon Lee

doi:10.3938/jkps.76.684

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arXiv · 1708.07408

Quantum fields as deep learning

Jae-Weon Lee

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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.

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Jae-Weon Lee. 2017-08-18. Quantum fields as deep learning. https://doi.org/10.3938/jkps.76.684

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