MIT Physicists Use AI to Solve Non-Abelian Fractional Quantum Hall Problem, Identifying Anti-Pfaffian Topological Order (Preprint)

Physicists at MIT have used a self-attention neural network (MagNet) to achieve the first complete, non-perturbative solution of the non-Abelian fractional quantum Hall problem across all Landau levels. This work, published as a preprint on arXiv, identifies the anti-Pfaffian as the ground-state topological order and provides a computational roadmap for building topological qubits.