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Conformal four-point correlators of the 3D Ising transition via the quantum fuzzy sphere
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abstract
In conformal field theory (CFT), the four-point correlator is a fundamental object that encodes CFT properties, constrains CFT structures, and connects to the gravitational scattering amplitude in holography theory. However, the four-point correlator of CFTs in dimensions higher than 2D remains largely unexplored due to the lack of non-perturbative tools. In this paper, we introduce a new approach for directly computing four-point correlators of 3D CFTs. Our method employs the recently proposed fuzzy (non-commutative) sphere regularization, and we apply it to the paradigmatic 3D Ising CFT. Specifically, we have computed three different four-point correlators: $\langle \sigma\sigma\sigma\sigma\rangle$, $\langle \sigma\sigma\epsilon\epsilon\rangle$, and $\langle \sigma\sigma T_{\mu\nu} T_{\rho\eta}\rangle$. Additionally, we verify the crossing symmetry of $\langle \sigma\sigma\sigma\sigma\rangle$, which is a notable property arising from conformal symmetry. Remarkably, the computed four-point correlators exhibit continuous crossing ratios, showcasing the continuum nature of the fuzzy sphere regularization scheme. This characteristic renders them highly suitable for future theoretical applications, enabling further advancements and insights in 3D CFT.
Forward citations
Cited by 4 Pith papers
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Simple feed-forward neural networks trained on crossing symmetry plus a single anchor value reproduce CFT correlators to percent-level accuracy, and the authors conjecture this works because physical correlators are t...
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A fuzzy-sphere exact diagonalization study shows the fIQH to bFQH transition is continuous, with emergent conformal symmetry and a single relevant singlet of scaling dimension Delta_S = 1.52(18).
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Conformal scalar field theory from Ising tricriticality on the fuzzy sphere
A bilayer quantum Hall fuzzy-sphere model, tuned to an Ising tricritical point, realizes the conformally coupled free scalar CFT, verified by matching spectra, operator content, and bosonic algebra.
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Neural Networks Reveal a Universal Bias in Conformal Correlators
Simple neural networks trained on crossing symmetry and one anchor point reproduce conformal correlators to within a few percent across many CFTs.
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