Quantum devices with a large number of gate electrodes allow for precise control of device parameters. This capability is hard to fully exploit due to the complex dependence of these parameters on applied gate voltages. We experimentally demonstrate an algorithm capable of fine-tuning several device parameters at once. The algorithm acquires a measurement and assigns it a score using a variational auto-encoder. Gate voltage settings are set to optimise this score in real-time in an unsupervised fashion. We report fine-tuning times of a double quantum dot device within approximately 40 min.

中文翻译：

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使用无监督嵌入学习的量子设备微调

具有大量栅电极的量子器件允许精确控制器件参数。由于这些参数对施加的栅极电压的复杂依赖性，因此很难充分利用这种能力。我们通过实验证明了一种能够同时微调多个设备参数的算法。该算法获取测量值并使用变分自动编码器为其分配分数。栅极电压设置被设置为以无人监督的方式实时优化该分数。我们在大约 40 分钟内报告了双量子点设备的微调时间。