5 papers
Machine Learning Topological Order from Defect Partition Functions
Kazem Bitaghsir Fadafan, Wei Cui, Babak Haghighat +1
We introduce a machine learning framework for extracting Ising topological order from defect partition functions of the two-dimensional Ising model on a torus. Restricted Boltzmann…
Half-Spacetime Gauging of 2-Group Symmetry in 3d
Davide Bason, Wei Cui, Lorenzo Ruggeri
We construct a class of non-invertible duality defects, in (2+1)d quantum field theories, arising from half-spacetime gauging of a 2-group symmetry. Starting from a parent theory w…
Central Charges and Vacuum Moduli of 2d Theories from Class
Wei Cui, Junkang Huang, Zi-Xiao Huang +2
We investigate 2d supersymmetric theories obtained from a topologically-twisted reduction of 4d class theories on a Riemann surfac…
Machine Learning Free Quotients of CICYs
Wei Cui, Xin Gao, Mohsen Karkheiran +1
Free quotients of Calabi-Yau manifolds play an important role in string compactification. In this paper, we explore machine learning techniques, such as fully connected neural netw…
Non-Invertible Surface Defects in 2+1d QFTs from Half Spacetime Gauging
Wei Cui, Babak Haghighat, Lorenzo Ruggeri
We study duality defects in 2+1d theories with $\bZ^{(0)}_N\times\bZ^{(1)}_N$ global symmetry and trivial mixed 't Hooft anomaly. By gauging these symmetries simultaneously in half…