Quantum computers are rapidly becoming more capable, with dramatic increases in both qubit count [1] and quality [2]. 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 [3][4] 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.

中文翻译：

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对具有 30 个量子比特的囚禁离子量子计算机进行基准测试


量子计算机的功能正在迅速增强，量子比特数量 [1] 和质量 [2] 都得到了显著提高。在不同的硬件方法中，囚禁离子量子处理器是量子计算的领先技术，具有成熟的高保真运算和架构，具有广阔的可扩展性。在这里，我们演示了 IonQ Forte 系统并对其进行了全面的基准测试：配置为具有多对多操作的单链 30 量子比特阱离子量子计算机。我们通过直接随机基准测试 （DRB） 在所有 30 个 2 = 435 个门对中评估量子计算机操作在组件级别的性能。然后，我们展示了面向应用程序的 [3][4] 基准测试的结果，并表明该系统通过了算法量子比特 （AQ） 基准测试套件，最高可达 #AQ 29。最后，我们使用组件级基准测试来构建系统级模型，通过直接仿真来预测应用程序基准测试数据。虽然我们发现系统级模型与预测应用电路性能的实验相关，但我们注意到定量差异表明存在显著的模型外误差，导致预测性能高于观察到的性能。这突出表明，随着量子计算机朝着更大、更高质量的设备发展，表征变得更具挑战性，这表明未来需要进一步提高性能。