Framework for Quantum Simulations of Energy-Loss in Non-Abelian Gauge Theories: SU(2) Lattice Gauge Theory in 1+1D

ORAL

Abstract

Quantum simulations of energy loss are essential for understanding phenomena in non-equilibrium strongly interacting dense matter. We propose a framework for simulating energy loss and hadronization in non-Abelian lattice gauge theories on quantum computers. As a demonstration, heavy-quarks are moved on a 1+1D SU(2) lattice. To prepare the ground-state wavefunction in the presence of heavy quarks, we present scalable circuits that combine SC-ADAPT-VQE with Domain Decomposition, which leverages the heterogeneity of charge sectors across the lattice. The full simulation is executed on IBM’s quantum computer ibm_pittsburgh on 18 qubits with a transpiled CNOT depth of approximately 400. With various error mitigation techniques, the observables show good agreement with classical simulations.

*This work was supported, in part, by U.S. Department of Energy, Office of Science, Office of Nuclear Physics, InQubator for Quantum Simulation (IQuS) under Award Number DOE (NP) Award DE-SC0020970 via the program on Quantum Horizons: QIS Research and Innovation for Nuclear Science and by the Quantum Science Center (QSC) which is a National Quantum Information Science Research Center of the U.S. Department of Energy. This research used resources of the Oak Ridge Leadership Computing Facility (OLCF), which is a DOE Office of Science User Facility supported under Contract DE-AC05-00OR22725. This work was enabled, in part, by the use of advanced computational, storage and networking infrastructure provided by the Hyak supercomputer system at the University of Washington. This research used resources of the National Energy Research Scientific Computing Center (NERSC), a Department of Energy Office of Science User Facility using NERSC award NP-ERCAP0032083.

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Presenters

  • Zhiyao Li

    • University of Washington

Authors

  • Zhiyao Li

    • University of Washington

  • Marc Illa

    • University of Washington

  • Martin J Savage

    • University of Washington