自动调整解决方案的电荷稳定性图模拟 (SimCATS)

Fabian Hader;Sarah Fleitmann;Jan Vogelbruch;Lotte Geck;Stefan van Waasen
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引用次数: 0

摘要

量子点(QDs)必须经过精确调谐,才能为量子计算提供合适的基础。只有将调谐过程完全自动化,才能实现可扩展的量子计算平台。其中一个关键步骤是在 QDs 中捕获适当数量的电子,通常通过分析电荷稳定性图(CSD)来实现。训练和测试自动化算法需要大量数据,这些数据既可以在实验中测量和手动标注,也可以模拟。本文介绍了一种对此类测量进行真实模拟的新方法。我们灵活的框架可以模拟理想的 CSD 数据,并辅以适当的传感器响应和失真。我们建议使用这种模拟对已发布的算法进行基准测试。此外,我们鼓励通过自定义模型和参数集进行扩展,以推动与技术无关的稳健算法的发展。
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Simulation of Charge Stability Diagrams for Automated Tuning Solutions (SimCATS)
Quantum dots (QDs) must be tuned precisely to provide a suitable basis for quantum computation. A scalable platform for quantum computing can only be achieved by fully automating the tuning process. One crucial step is to trap the appropriate number of electrons in the QDs, typically accomplished by analyzing charge stability diagrams (CSDs). Training and testing automation algorithms require large amounts of data, which can be either measured and manually labeled in an experiment or simulated. This article introduces a new approach to the realistic simulation of such measurements. Our flexible framework enables the simulation of ideal CSD data complemented with appropriate sensor responses and distortions. We suggest using this simulation to benchmark published algorithms. Also, we encourage the extension by custom models and parameter sets to drive the development of robust technology-independent algorithms.
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