Search for Efficient Formulations for Hamiltonian Simulation of non-Abelian Lattice Gauge Theories
Zohreh Davoudi, Indrakshi Raychowdhury, Andrew Shaw

TL;DR
This paper compares various Hamiltonian formulations for non-Abelian lattice gauge theories, focusing on SU(2) in 1+1 D, to identify the most accurate and computationally efficient approach for quantum simulation.
Contribution
It analyzes different formulations of SU(2) lattice gauge theories, highlighting the advantages of the Loop-String-Hadron framework for quantum simulation.
Findings
Loop-String-Hadron formulation offers advantages in implementing non-Abelian Gauss's laws.
Dependence of Hilbert space dimension on boundary conditions and cutoff impacts accuracy.
Small lattice studies suggest broader applicability to larger systems and higher dimensions.
Abstract
Hamiltonian formulation of lattice gauge theories (LGTs) is the most natural framework for the purpose of quantum simulation, an area of research that is growing with advances in quantum-computing algorithms and hardware. It, therefore, remains an important task to identify the most accurate, while computationally economic, Hamiltonian formulation(s) in such theories, considering the necessary truncation imposed on the Hilbert space of gauge bosons with any finite computing resources. This paper is a first step toward addressing this question in the case of non-Abelian LGTs, which further require the imposition of non-Abelian Gauss's laws on the Hilbert space, introducing additional computational complexity. Focusing on the case of SU(2) LGT in 1+1 D coupled to matter, a number of different formulations of the original Kogut-Susskind framework are analyzed with regard to the dependence…
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