Benchmarking tools for NISQ systems

ORAL

Abstract

As the field marches towards quantum advantage with near-term quantum processors, it becomes imperative to characterize, verify, and validate performance. An outstanding scientific challenge in the community is a scalable set of metrics or experiments which can shed light on the usability of a device for near-term algorithms. Moreover, it becomes critical to explore techniques to extend the computational reach of noisy systems, be it through understanding underlying non-idealities, or more efficient circuit compilation. In this talk I will review the work we are doing at IBM to benchmark NISQ devices and I will discuss our recent results on quantum volume, large-scale entanglement and randomized benchmarking.


**This work was supported by the Army Research Office under contract W911NF-14-1-0124

Presenters

  • David McKay

    • IBM TJ Watson Research Center
    • IBM Thomas J. Watson Research Center

Authors

  • David McKay

    • IBM TJ Watson Research Center
    • IBM Thomas J. Watson Research Center
  • Lev S Bishop

    • IBM TJ Watson Research Center
    • IBM Thomas J. Watson Research Center
  • Antonio D Corcoles

    • IBM Thomas J. Watson Research Center
    • IBM TJ Watson Research Center
  • Petar Jurcevic

    • IBM TJ Watson Research Center
  • Abhinav Kandala

    • IBM TJ Watson Research Center
  • Jin-Sung Kim

    • IBM TJ Watson Research Center
  • Isaac Lauer

    • IBM Thomas J. Watson Research Center
    • IBM TJ Watson Research Center
  • Seth Merkel

    • IBM TJ Watson Research Center
  • Zlatko Minev

    • IBM TJ Watson Research Center
  • Neereja Sundaresan

    • IBM Thomas J. Watson Research Center
    • IBM TJ Watson Research Center
  • Srikanth Srinivasan

    • IBM Thomas J. Watson Research Center
    • IBM TJ Watson Research Center
  • Maika Takita

    • IBM Thomas J. Watson Research Center
    • IBM TJ Watson Research Center
  • Xuan Wei

    • IBM TJ Watson Research Center
  • Sarah Sheldon

    • IBM TJ Watson Research Center
    • IBM Thomas J. Watson Research Center
  • Jay M Gambetta

    • IBM TJ Watson Research Center