Light Cone 2026: Applications at EIC era (LC 2026)

Session

Quantum Computing, AI, and Computational Methods

Jun 26, 2026, 9:00 AM

CFNS, Peter Paul Seminar Room, C 120 Physics Building (Stony Brook University/Online)

30. Light Front Calculations on Quantum Computers

Peter Love (Tufts University)

6/26/26, 9:00 AM

Quantum Computing, AI, and Computational Methods

Quantum simulation is a motivating application for large-scale quantum computers. Quantum simulation of quantum field theories involves challenges of regularization, renormalization and gauge symmetry. The light front provides a particularly appealing approach for quantum simulation, allowing techniques developed in other fields to be reused. I will give an introduction to our work in quantum...

48. String breaking in the Schwinger model: jet fragmentation and thermalization

David Frenklakh

6/26/26, 9:30 AM

Quantum Computing, AI, and Computational Methods

How does a far-from-equilibrium quantum system reach thermal equilibrium, and what role does entanglement play? We address these questions in the massive Schwinger model — a non-integrable (1+1)-dimensional gauge theory — subjected to a quench by a pair of charges receding at the speed of light. Using tensor network methods, we study the resulting string breaking dynamics, which serve as a...

42. Machine-Learning-Assisted Fock-Space Truncation for Light-Front Hamiltonian Calculations

Jie Pan (Stony Brook University)

6/26/26, 9:55 AM

Quantum Computing, AI, and Computational Methods

We present a hybrid computational framework for light-front Hamiltonian calculations in which machine learning is used to assist Fock-space truncation, while the low-lying spectrum is obtained from standard Hamiltonian diagonalization. The goal is to reduce the computational cost of non-perturbative light-front calculations without compromising the physical reliability of established numerical...

11. Quasi-GPDs in the Massive Schwinger Model using Tensor Networks

Jake Montgomery (Stony Brook University)

6/26/26, 10:40 AM

Quantum Computing, AI, and Computational Methods

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....

61. Toward quantum simulations of lattice field theory in 2+1 dimensions

Felix Ringer (Stony Brook University)

6/26/26, 11:10 AM

Quantum Computing, AI, and Computational Methods

Extending quantum simulations of lattice gauge theories beyond one spatial dimension requires encoding gauge fields with infinite-dimensional local Hilbert spaces. I will present a hybrid qubit-qumode framework for real-time simulations of quantum electrodynamics in (2+1) dimensions, where fermionic matter fields are encoded in qubits and gauge fields are represented by continuous-variable...

20. JIMWLK on a quantum computer

Shaswat Tiwari (Brookhaven National Laboratory)

Quantum Computing, AI, and Computational Methods

We propose a method for solving the Jalilian-Marian–Iancu–McLerran–Weigert–Leonidov–Kovner (JIMWLK) evolution equation on quantum computers. Our approach exploits the reformulation of the JIMWLK equation as a Lindblad master equation governing the rapidity evolution of the hadronic density matrix, as established in prior work. To render the problem tractable for quantum simulation, we...