Benchmarking a trapped-ion quantum computer with 30 qubits Article Swipe
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.22331/q-2024-11-07-1516
Quantum computers are rapidly becoming more capable, with dramatic increases in both qubit count \cite{kim2023evidence} and quality \cite{moses2023race}. Among different hardware approaches, trapped-ion quantum processors are a leading technology for quantum computing, with established high-fidelity operations and architectures with promising scaling. Here, we demonstrate and thoroughly benchmark the IonQ Forte system: configured as a single-chain 30-qubit trapped-ion quantum computer with all-to-all operations. We assess the performance of our quantum computer operation at the component level via direct randomized benchmarking (DRB) across all 30 choose 2 = 435 gate pairs. We then show the results of application-oriented \cite{IonQ_AQ20_2022}\cite{qedcPeerReviewed} benchmarks and show that the system passes the suite of algorithmic qubit (AQ) benchmarks up to #AQ 29. Finally, we use our component-level benchmarking to build a system-level model to predict the application benchmarking data through direct simulation. While we find that the system-level model correlates with the experiment in predicting application circuit performance, we note quantitative discrepancies indicating significant out-of-model errors, leading to higher predicted performance than what is observed. This highlights that as quantum computers move toward larger and higher-quality devices, characterization becomes more challenging, suggesting future work required to push performance further.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.22331/q-2024-11-07-1516
- OA Status
- gold
- Cited By
- 50
- References
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- Related Works
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- OpenAlex ID
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Raw OpenAlex JSON
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https://openalex.org/W4404140215Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.22331/q-2024-11-07-1516Digital Object Identifier
- Title
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Benchmarking a trapped-ion quantum computer with 30 qubitsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-11-07Full publication date if available
- Authors
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Jwo-Sy Chen, Erik Nielsen, Matthew Ebert, Volkan Inlek, Kenneth Wright, V. Chaplin, Andrii Maksymov, Eduardo Páez, Amrit Poudel, Peter Maunz, John King GambleList of authors in order
- Landing page
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https://doi.org/10.22331/q-2024-11-07-1516Publisher landing page
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.22331/q-2024-11-07-1516Direct OA link when available
- Concepts
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Benchmarking, Qubit, Trapped ion quantum computer, Quantum computer, Quantum, Physics, Computer science, Quantum mechanics, Business, Quantum error correction, MarketingTop concepts (fields/topics) attached by OpenAlex
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50Total citation count in OpenAlex
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2025: 47, 2024: 3Per-year citation counts (last 5 years)
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41Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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