APS Logo

Performance of Robust, High-Order Dynamical Decoupling Sequences on Superconducting Quantum Hardware

ORAL

Abstract



The performance of today’s quantum hardware is limited by circuit depth and duration due to gate infidelity and decoherence, which adversely constrains the class of experiments achievable without error mitigation. Dynamical decoupling is an error-suppression technique that utilizes carefully timed sequences of pulses inserted during idle operation in order to cancel unwanted interactions with the environment, often allowing higher fidelity circuits to be run. A wide variety of dynamical decoupling sequences exists, ranging from simple first-order protection with uniform pulse intervals to robust, higher-order protection with non-uniform pulse interval sequences. Here, we explore and compare the performance of these various sequences on the Rigetti Aspen-M series of superconducting qubit chips. From this experimental data, we draw conclusions about the relative performance of various dynamical decoupling sequences and offer prognoses about near-term algorithmic capabilities enabled by the improvement in performance, paving the way toward performing deeper circuits with built-in environmental noise protection.

Presenters

  • Amy F Brown

    University of Southern California

Authors

  • Amy F Brown

    University of Southern California

  • Vinay Tripathi

    Univ of Southern California

  • Bram Evert

    Rigetti Computing, Rigetti Quantum Computing

  • Alexander D Hill

    Rigetti Quantum Computing

  • Xian Wu

    Rigetti Computing

  • Yuan Shi

    Lawrence Livermore Natl Lab

  • Yujin Cho

    Lawrence Livermore National Laboratory, Lawrence Livermore National Lab

  • Max D Porter

    Lawrence Livermore Natl Lab

  • Vasily I Geyko

    Lawrence Livermore Natl Lab

  • Ilon Joseph

    Lawrence Livermore Natl Lab

  • Jonathan L DuBois

    Lawrence Livermore Natl Lab

  • Eyob A Sete

    Rigetti Quantum Computing, Rigetti Computing Inc

  • Matthew J Reagor

    Rigetti Quantum Computing, Rigetti, Rigetti Computing

  • Daniel A Lidar

    University of Southern California