English

Efficient Qudit Circuit for Quench Dynamics of $2+1$D Quantum Link Electrodynamics

Quantum Physics 2025-07-18 v1 Quantum Gases High Energy Physics - Lattice

Abstract

A major challenge in the burgeoning field of quantum simulation for high-energy physics is the realization of scalable 2+12+1D lattice gauge theories on state-of-the-art quantum hardware, which is an essential step towards the overarching goal of probing 3+13+1D quantum chromodynamics on a quantum computer. Despite great progress, current experimental implementations of 2+12+1D lattice gauge theories are mostly restricted to relatively small system sizes and two-level representations of the gauge and electric fields. Here, we propose a resource-efficient method for quantum simulating 2+12+1D spin-SS U(1)\mathrm{U}(1) quantum link lattice gauge theories with dynamical matter using qudit-based quantum processors. By integrating out the matter fields through Gauss's law, we reformulate the quantum link model in a purely spin picture compatible with qudit encoding across arbitrary spatial dimensions, eliminating the need for ancillary qubits and reducing resource overhead. Focusing first on the spin-1/21/2 case, we construct explicit circuits for the full Hamiltonian and demonstrate through numerical simulations that the first-order Trotterized circuits accurately capture the quench dynamics even in the presence of realistic noise levels. Additionally, we introduce a general method for constructing coupling-term circuits for higher-spin representations S>1/2S>1/2. Compared to conventional qubit encodings, our framework significantly reduces the number of quantum resources and gate count. Our approach significantly enhances scalability and fidelity for probing nonequilibrium phenomena in higher-dimensional lattice gauge theories, and is readily amenable to implementation on state-of-the-art qudit platforms.

Keywords

Cite

@article{arxiv.2507.12589,
  title  = {Efficient Qudit Circuit for Quench Dynamics of $2+1$D Quantum Link Electrodynamics},
  author = {Rohan Joshi and Michael Meth and Jan C. Louw and Jesse J. Osborne and Kevin Mato and Martin Ringbauer and Jad C. Halimeh},
  journal= {arXiv preprint arXiv:2507.12589},
  year   = {2025}
}

Comments

$19$ pages, $8$ figures, $3$ tables

R2 v1 2026-07-01T04:04:57.856Z