Efficient computation of real-time correlators using Pauli propagation
Story behind the paper. This project brought together Lex Kemper's group (including Goksu, me, and Mariano) at NC State with Nick Mayhall's group at Indiana (with Arnab), who have been developing Pauli propagation as a classical simulation tool and recently finished a paper in early 2026. We started having online meetings starting end of 2025 and early 2026. The question we set out to answer was whether Pauli propagation could be turned into a practical way to compute real-time two-point correlation functions, the quantities that connect theory to experiments. The obvious obstacle is that the number of Pauli strings explodes beyond short times. Our workaround was to lean on the accurate short-time data and then extend it: a positivity-based (PSD / Prony-type) fit that super-resolves the long-time signal from only a handful of points, combined with Clifford-augmented matrix product states (CAMPS) to prepare the ground states we measure against. Putting these together let us reach the dynamical structure factor of an 8x8 Heisenberg antiferromagnet, which was impressive. Lex led the project and I helped with CAMPS computation and bit of writing. This was also Mariano's first paper, congrats to him!