From the 1 of 7 linked papers with an AI index.
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Neural Spectral Bias and Conformal Correlators II: Modular and Annulus Bootstrap
Kausik Ghosh, Sidhaarth Kumar, Vasilis Niarchos +1
We develop a neural network bootstrap framework for reconstructing partition functions of two-dimensional conformal field theories (CFTs) based on modular invariance and the Cardy…
Neural Networks Reveal a Universal Bias in Conformal Correlators
Kausik Ghosh, Sidhaarth Kumar, Vasilis Niarchos +1
The paper shows that simple neural networks trained on crossing symmetry can accurately reconstruct conformal correlators from minimal input, suggesting a universal bias that can b…
Redundancy Channels in the Conformal Bootstrap
Stefanos R. Kousvos, Andreas Stergiou
A method for obstructing symmetry enhancement in numerical conformal bootstrap calculations is proposed. Symmetry enhancement refers to situations where bootstrap studies initialis…
Neural Spectral Bias and Conformal Correlators I: Introduction and Applications
Kausik Ghosh, Sidhaarth Kumar, Vasilis Niarchos +1
We demonstrate that simple feed-forward neural networks (NNs) can accurately compute correlation functions of conformal field theories (CFTs) on a line. Strikingly, by optimising a…
Transdimensional Defects
Elia de Sabbata, Nadav Drukker, Andreas Stergiou
This note introduces a novel paradigm for conformal defects with continuously adjustable dimensions. Just as the standard expansion interpolates between integer space…
Fine Spectrum from Crude Analytic Bootstrap
Jake Belton, Nadav Drukker, Ziwen Kong +1
The magnetic line defect in the model gives rise to a non-trivial one-dimensional defect conformal field theory of theoretical and experimental value. This model is consider…