String Theory from Infinite Width Neural Networks

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Authors: Samuel Frank, James Halverson
Cited by: 0

Abstract

We realize bosonic string theory with ensembles of infinite width neural networks. The string tension is tuned by the variance of the output weights. The construction provides a new computation of the foundational Virasoro-Shapiro and Veneziano amplitudes as neural network correlators.

Fields of Study & Subjects

Black Holes and Theoretical Physics Particle physics theoretical and experimental studies Noncommutative and Quantum Gravity Theories

Publication details

Journal / source
arXiv (Cornell University)
Publication date
9 January 2026
Document type
Preprint