Perturbation theory, irrep truncations, and state preparation methods for quantum simulations of SU(3) lattice gauge theory

We study methods for efficient preparation of approximate ground states of $SU(3)$ lattice gauge theory on quantum hardware. Working in a variant of the electric basis, we introduce a refinement of the irrep truncation based on the energy density of site singlets, which provides a finer gradation of simulation complexity. Using strong-coupling perturbation theory as a guide, we develop simple ansatz circuits for ground state preparation and test them via classical simulation on small lattices, including the $2\times 2$ plaquette lattice in $d=2$ and the cube in $d=3$. We contrast state fidelities and resource requirements of variational methods against adiabatic state preparation and introduce a method that hybridizes the two approaches. Finally, we report on the public release of \texttt{ymcirc} -- a package of tools for building $SU(3)$ circuits and processing measurements -- and \texttt{pyclebsch}, a package for efficiently computing $SU(N)$ Clebsch-Gordan coefficients.

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Publication Details

Journal
ArXiv.org
Published
2025-09-30
Primary Topic
Fungal Biology and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Perturbation theory, irrep truncations, and state preparation methods for quantum simulations of SU(3) lattice gauge theory

ArXiv.org
Fungal Biology and Applications
article

Perturbation theory, irrep truncations, and state preparation methods for quantum simulations of SU(3) lattice gauge theory

article en

Abstract

We study methods for efficient preparation of approximate ground states of $SU(3)$ lattice gauge theory on quantum hardware. Working in a variant of the electric basis, we introduce a refinement of the irrep truncation based on the energy density of site singlets, which provides a finer gradation of simulation complexity. Using strong-coupling perturbation theory as a guide, we develop simple ansatz circuits for ground state preparation and test them via classical simulation on small lattices, including the $2\times 2$ plaquette lattice in $d=2$ and the cube in $d=3$. We contrast state fidelities and resource requirements of variational methods against adiabatic state preparation and introduce a method that hybridizes the two approaches. Finally, we report on the public release of \texttt{ymcirc} -- a package of tools for building $SU(3)$ circuits and processing measurements -- and \texttt{pyclebsch}, a package for efficiently computing $SU(N)$ Clebsch-Gordan coefficients.

ArXiv.org
University of Illinois Urbana-Champaign (US), Urbana University (US), University of Illinois System (US)
National Science Foundation, U.S. Department of Energy, Office of Science, Office of Advanced Cyberinfrastructure, High Energy Physics
Openalex Percentile: Top 40%
Fungal Biology and Applications
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