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Trapped Ion Quantum Computing

Cross-Platform Comparison of Arbitrary Quantum Computations

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

Year

2021

Paper ID

62949

Status

Preprint

Abstract Read

~2 min

Abstract Words

154

Citations

N/A

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.

Why This Paper Matters

  • This paper contributes to the Trapped-Ion Quantum Computing research area in the Quantum Articles archive.
  • It adds a 2021 reference point for readers tracking recent quantum research.
  • 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...

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