Creating benchmarks is a foundational aspect of the computing industry. While attempts to assess and compare quantum computers have largely focused on system-level characteristics, we believe application benchmarks are the best way to compare a diverse set of quantum machines in a practical manner. We developed the SupermarQ suite of benchmarks to demonstrate how today’s quantum computers perform when solving real-world problems. Use the tabs below to see how we at Super.tech think about quantum benchmarking, explore some other metrics that are common in the industry and – if you’re feeling adventurous – dive into to the details behind our work.
Presented in collaboration with
This academic paper underlying SupermarQ was supported by the U.S. DOE under contract numbers DE-SC0012704 and DE-SC0021526; and the NSF under Grant #2030859. Funding was also provided in part by EPiQC, an NSF Expedition in Computing, under grants CCF-1730082/1730449, by the NSF STAQ project under grant NSF Phy-1818914, by DOE grants DE-SC0020289 and DE-SC0020331, and by NSF CNS-1763743. We also acknowledge support from US DOE, Advanced Manufacturing Office (CRADA No. 2020-20099.) This research used resources of the Oak Ridge Leadership Computing Facility, which is a DOE Office of Science User Facility supported under Contract DE-AC05-00OR22725. We acknowledge the use of IBM Quantum services for this work. The views expressed are those of the authors, and do not reflect the official policy or position of IBM or the IBM Quantum team.