Jun 22 – 26, 2026
Stony Brook University/Online
America/New_York timezone

Quasi-GPDs in the Massive Schwinger Model using Tensor Networks

Jun 26, 2026, 10:35 AM
30m
CFNS, Peter Paul Seminar Room, C 120 Physics Building (Stony Brook University/Online)

CFNS, Peter Paul Seminar Room, C 120 Physics Building

Stony Brook University/Online

Quantum Computing, AI, and Computational Methods Quantum Computing, AI, and Computational Methods

Speaker

Jake Montgomery (Stony Brook University)

Description

Generalized Parton Distribution functions (GPDs) are off-diagonal light-cone matrix elements that encode the internal structure of hadrons in terms of quark and gluon degrees of freedom. We present the first nonperturbative study of quasi-GPDs in the massive Schwinger model, quantum electrodynamics in 1+1 dimensions (QED2), within the Hamiltonian formulation of lattice field theory. Quasi-distributions are spatial correlation functions of boosted states, which approach the relevant light-cone distributions in the luminal limit. Using tensor networks, we prepare the first excited state and boost it to close to the light-cone on lattices of up to 400 lattice sites. We compute both quasi-parton distribution functions and quasi-GPDs, and study their convergence for increasingly boosted states. Our analysis establishes computational benchmarks for accessing partonic observables in low-dimensional gauge theories, offering a starting point for future extensions to higher dimensions, non-Abelian theories, and quantum simulations.

Authors

Felix Ringer (Stony Brook University) Jake Montgomery (Stony Brook University) Sebastian Grieninger (Stony Brook University) ismail zahed (Stony Brook University)

Presentation materials