Excited String States and D-branes from Infinite Width Neural Networks

Fuente: arXiv
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Autori principali: Ageev, Dmitry S., Ageeva, Yulia A.
Natura: Preprint
Pubblicazione: 2026
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author Ageev, Dmitry S.
Ageeva, Yulia A.
author_facet Ageev, Dmitry S.
Ageeva, Yulia A.
contents We explore recent proposal to represent worldsheet string path integrals by integrating over parameters of a wide random-feature neural network whose output is identified with the embedding field $X^μ$. In this paper we extend it focusing on scattering with excited states insertions and for worldsheets with boundaries introducing fixed-feature Gaussian normal-ordering prescription for derivative composites (removing the neural contact term at finite width), and propose realization of mixed Neumann/Dirichlet boundary conditions interpreted as a neural D$p$-brane. As concrete outputs, we derive the sphere four-point integrand with a single $(1,1)$ insertion and the disk four-tachyon amplitude on a D$p$-brane, recovering the expected derivative prefactors, boundary exponents, and momentum-conservation limits after renormalization.
format Preprint
id arxiv_https___arxiv_org_abs_2602_10214
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Excited String States and D-branes from Infinite Width Neural Networks
Ageev, Dmitry S.
Ageeva, Yulia A.
High Energy Physics - Theory
Disordered Systems and Neural Networks
We explore recent proposal to represent worldsheet string path integrals by integrating over parameters of a wide random-feature neural network whose output is identified with the embedding field $X^μ$. In this paper we extend it focusing on scattering with excited states insertions and for worldsheets with boundaries introducing fixed-feature Gaussian normal-ordering prescription for derivative composites (removing the neural contact term at finite width), and propose realization of mixed Neumann/Dirichlet boundary conditions interpreted as a neural D$p$-brane. As concrete outputs, we derive the sphere four-point integrand with a single $(1,1)$ insertion and the disk four-tachyon amplitude on a D$p$-brane, recovering the expected derivative prefactors, boundary exponents, and momentum-conservation limits after renormalization.
title Excited String States and D-branes from Infinite Width Neural Networks
topic High Energy Physics - Theory
Disordered Systems and Neural Networks
url https://arxiv.org/abs/2602.10214