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Cross-Platform Comparison of Arbitrary Quantum Computations

Authors :
Zhu, Daiwei
Cian, Ze-Pei
Noel, Crystal
Risinger, Andrew
Biswas, Debopriyo
Egan, Laird
Zhu, Yingyue
Green, Alaina M.
Alderete, Cinthia Huerta
Nguyen, Nhung H.
Wang, Qingfeng
Maksymov, Andrii
Nam, Yunseong
Cetina, Marko
Linke, Norbert M.
Hafezi, Mohammad
Monroe, Christopher
Publication Year :
2021

Abstract

As we approach the era of quantum advantage, when quantum computers (QCs) can outperform any classical computer on particular tasks, there remains the difficult challenge of how to validate their performance. While algorithmic success can be easily verified in some instances such as number factoring or oracular algorithms, these approaches only provide pass/fail information for a single QC. On the other hand, a comparison between different QCs on the same arbitrary circuit provides a lower-bound for generic validation: a quantum computation is only as valid as the agreement between the results produced on different QCs. Such an approach is also at the heart of evaluating metrological standards such as disparate atomic clocks. In this paper, we report a cross-platform QC comparison using randomized and correlated measurements that results in a wealth of information on the QC systems. We execute several quantum circuits on widely different physical QC platforms and analyze the cross-platform fidelities.

Subjects

Subjects :
Quantum Physics

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2107.11387
Document Type :
Working Paper
Full Text :
https://doi.org/10.1038/s41467-022-34279-5