Empirical optimization of dynamical decoupling on quantum processors

ORAL

Abstract

Dynamical decoupling (DD) is an effective way to suppress quantum computation errors with a low resource overhead. Here, we employ a combinatorial optimization scheme to empirically discover device-tailored DD sequences. We test our method on various quantum algorithms and show that our empirically optimized DD sequences significantly outperform theoretically-derived DD sequences.

Presenters

  • Christopher Tong

    Massachusetts Institute of Technology

Authors

  • Christopher Tong

    Massachusetts Institute of Technology

  • Helena Zhang

    IBM Quantum, IBM Thomas J. Watson Research Center

  • Bibek B Pokharel

    IBM Quantum, Almaden Research Center