Intense efforts are underway to produce circuits that integrate a technologically relevant number of qubits. Although qubit control in most material systems is by now mature, device variability is one of the main bottlenecks in qubit scalability. How do we characterize and tune millions of qubits? Machine learning might hold the answer.

中文翻译：

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机器学习是qubit可扩展性的推动力

正在努力生产集成技术上相关的量子比特数量的电路。尽管目前大多数材料系统中的量子位控制已经成熟，但是设备可变性是量子位可伸缩性的主要瓶颈之一。我们如何表征和调整数百万个量子位？机器学习可能会解决问题。