Reconstructing conformal field theoretical compositions with Transformers
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Abstract (arXiv)
We study the use of transformers to reconstruct the compositions of tensor products of two-dimensional rational conformal field theories (RCFTs) based on their low-energy spectra. The task is challenging due to its combinatorial nature. The constituent theories are characterized by their central charges and affine Lie algebra labels. We achieve 98% accuracy in recovering the constituents of tensor products theories constructed from Wess-Zumino-Witten models. We further demonstrate that our method generalizes to CFTs with larger central charge and unseen classes of RCFTs by adding a small number of out-of-domain examples. Our results show that transformers are effective at this task and point towards a new tool for bulk reconstruction in AdS/CFT.
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References · 16
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- 2024PatternBoost: Constructions in Mathematics with a Little Help from AIcited by 32
- 2024Global Lyapunov functions: a long-standing open problem in mathematics, with symbolic transformerscited by 29
- 2024Transforming the Bootstrap: Using Transformers to Compute Scattering Amplitudes in Planar N = 4 Super Yang-Mills Theorycited by 17
- 2022Simplifying Polylogarithms with Machine Learningcited by 14
- 2024Learning the Simplicity of Scattering Amplitudescited by 5
4 more
- 2024Machine-learning emergent spacetime from linear response in future tabletop quantum gravity experimentscited by 5
- 2025Transforming Calabi-Yau Constructions: Generating New Calabi-Yau Manifolds with Transformerscited by 5
- 2024Learning BPS Spectra and the Gap Conjecturecited by 3
- 2026Descending into the Modular Bootstrapcited by 2
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