David Frank
ISSCC 2023
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.
David Frank
ISSCC 2023
Jaseung Ku, Britton L Plourde, et al.
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Waheeda Banu Saib, Kenny Choo, et al.
QIP 2022
Jin-Sung Kim, Lev Bishop, et al.
APS March Meeting 2020