Implementing Lattice Gauge Theories on Quantum Computers

ORAL

Abstract

Digital quantum simulators provide a table-top platform for addressing salient questions in particle and condensed-matter physics. A particularly rewarding target is given by lattice gauge theories (LGTs). Their constituents, e.g., charged matter and the electric gauge field, are governed by local gauge constraints, which are highly challenging to engineer and which lead to intriguing yet not fully understood features.

Here, we simulate a 1+1d Z2 LGT on a Sycamore superconducting quantum chip. Our experiments have been performed via the cloud within the Early Access Program of Google Quantum AI. Efficiently synthesizing the three-body charge--gauge-field interaction renders single Trotter steps only 8 native two-qubit gates deep, enabling us to reach simulation times of up to 25 Trotter steps. We observe how tuning a term that couples only to the electric field confines the charges, a manifestation of the tight bond that the local gauge constraint generates between both. Moreover, we study a different mechanism, where a modification of the gauge constraint from a Z2 to a U(1) symmetry freezes the system dynamics. We further address extensions including the suppression of errors in quantum simulations of LGTs. Our work showcases the dramatic restriction that the underlying gauge constraint imposes on the dynamics of an LGT, it illustrates how gauge constraints can be modified and protected, and it paves the way for studying other models governed by many-body interactions.

*This project has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 804305 and No 948141) and by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy - EXC-2111 - 390814868. This work is supported by the Google Research Scholar Award ProGauge, Provincia Autonoma di Trento, and by Q@TN, the joint lab between University of Trento, FBK-Fondazione Bruno Kessler, INFN-National Institute for Nuclear Physics and CNR-National Research Council. We further acknowledge participation in the Google Quantum AI Early Access Program.

Publication: J. Mildenberger, W. Mruczkiewicz, J. C. Halimeh, Z. Jiang, P. Hauke, Probing Confinement in a Z2 Lattice Gauge Theory on a Quantum Computer (2022), arXiv:2203.08905 [quant-ph]

Presenters

  • Julius Mildenberger

    • INO-CNR BEC Center and Department of Physics, University of Trento
    • University of Trento

Authors

  • Julius Mildenberger

    • INO-CNR BEC Center and Department of Physics, University of Trento
    • University of Trento
  • Wojtek Mruczkiewicz

    • Google Quantum AI
  • Jad Halimeh

    • INO-CNR BEC Center and Department of Physics, University of Trento; Department of Physics and ASC, Ludwig-Maximilians-Universität München; MCQST, Munich
  • Zhang Jiang

    • Google Quantum AI
    • Google LLC
  • Philipp Hauke

    • INO-CNR BEC Center and Department of Physics, University of Trento