From the 1 of 7 linked papers with an AI index.
7 papers
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…
Universality of Quantum Gates in Particle and Symmetry Constrained Subspaces
Andreas Stergiou, Nicolas PD Sawaya
Simulating physical systems on near-term quantum computers often requires preparing states within constrained subspaces, like those with fixed particle number or spin. We use Lie a…
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…