Current development in programmable analogue quantum simulators (AQS), whose physical implementation can be realised in the near-term compared to those of large-scale digital quantum computers, highlights the need for robust testing techniques in analogue platforms. Methods to properly certify or benchmark AQS should be efficiently scalable, and also provide a way to deal with errors from state preparation and measurement (SPAM). Up to now, attempts to address this combination of requirements have generally relied on model-specific properties. We put forward a new approach, applying a well-known digital noise characterisation technique called randomized benchmarking (RB) to the analogue setting. RB is a scalable experimental technique that provides a measure of the average error-rate of a gate-set on a quantum hardware, incorporating SPAM errors. We present the original form of digital RB, the necessary alterations to translate it to the analogue setting and introduce the...

中文翻译：

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模拟环境中的随机基准测试

与大型数字量子计算机相比，可编程模拟量子模拟器（AQS）的当前发展可以在短期内实现其物理实现，这凸显了对模拟平台中强大的测试技术的需求。正确认证或基准AQS的方法应可高效扩展，并提供一种处理状态准备和度量（SPAM）错误的方法。到目前为止，解决这种需求组合的尝试通常依赖于特定于模型的属性。我们提出了一种新方法，将一种称为随机基准（RB）的著名数字噪声表征技术应用于模拟环境。RB是一种可扩展的实验技术，它提供了包含SPAM错误的量子硬件上门集的平均错误率的度量。