Entanglement-Assisted Benchmark on a trapped-ion quantum computer

POSTER

Abstract

Benchmarking allows us to characterize noises in quantum systems. For example, Pauli channel estimation provides important information on Pauli noise during quantum processes. However, quantum process characterization is usually costly. Entanglement-Assisted Benchmark (EAB) protocol utilizes entanglement to achieve much favorable scaling. We implemented this protocol on our 171Yb+ trapped-ion quantum computer. We learned about the dominant incoherent errors in our native entangling gate and explored methods for mitigating noises that are affecting the performance of EAB.

Presenters

  • Yingyue Zhu

    • University of Maryland, College Park

Authors

  • Yingyue Zhu

    • University of Maryland, College Park

  • Senrui Chen

    • Pritzker School of Molecular Engineering, The University of Chicago, Illinois 60637, USA

  • Alireza Seif

    • Pritzker School of Molecular Engineering, The University of Chicago, Illinois 60637, USA

  • Nhung H Nguyen

    • University of Maryland, College Park

  • Jacon Lee

    • University of Maryland, College Park

  • Alaina M Green

    • Joint Quantum Institute / University of Maryland

  • Norbert M Linke

    • Duke University
    • Department of Physics, Duke University, Durham, North Carolina, U.S.A
    • Department of Physics, Duke University, U.S.A.

  • Liang Jiang

    • Pritzker School of Molecular Engineering, The University of Chicago, Illinois 60637, USA