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Benchmarking a trapped-ion quantum computer with 30 qubits

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arxiv 2308.05071 v2 pith:ENG4YWQ3 submitted 2023-08-09 quant-ph

classification quant-ph
keywords quantumbenchmarkingperformancecomputerqubittrapped-ionapplicationbenchmarks
verification ladder T0 review T1 audit T2 compute T3 formal
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Quantum computers are rapidly becoming more capable, with dramatic increases in both qubit count and quality. 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 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.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Localized Kernel Methods for Signal Processing

    eess.SP 2025-08 reject novelty 2.0 of 10

    The manuscript is internally inconsistent: the abstract describes localized kernel signal processing, while the body is a different paper on quantum task scheduling, leaving the abstract's claims entirely unsupported.

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