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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2026
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2601.06249 |
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| _version_ | 1866911365780733952 |
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| author | Frank, Samuel Halverson, James |
| author_facet | Frank, Samuel Halverson, James |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2601_06249 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | String Theory from Infinite Width Neural Networks Frank, Samuel Halverson, James High Energy Physics - Theory 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. |
| title | String Theory from Infinite Width Neural Networks |
| topic | High Energy Physics - Theory |
| url | https://arxiv.org/abs/2601.06249 |