基于改装3D打印机的自动化超导量子比特表征平台
Automated Superconducting Qubit Characterisation Platform Based on a Modified 3D Printer
AI总结：
本文提出一种基于改装3D打印机、Arduino Uno和目标检测的自动化Josephson结电阻表征平台，可自动对准测量，显著节省时间并降低成本。
摘要：
Josephson结（约瑟夫森结）是超导量子比特中的重要元件。它为量子比特的能级间距引入非谐性，使我们能够识别两个独特的量子能态以用于计算。要在同一期望参数范围内制造多个结十分困难，因此在制造完成后对这些结进行表征是必要步骤。具体而言，结的临界电流通过测量其正常态电阻来确定。这项工作通常在手动探针台上采用两点或四点电阻测量完成，过程耗时，尤其在晶圆级制造中更为突出。这一瓶颈可通过结合目标检测的自动化方式加以规避。该自动化探针台的基础是一台经过改装的3D打印机，配备多个Arduino Uno微控制器和电动线性位移台。自动化过程通过探针自动对准以及自动测量流程实现。结果表明，全自动过程测量一个结的电阻约需27至29秒，与手动探针台相比节省28%至51%的时间，并且可以无人监督运行。由于复用了商用3D打印机，该系统成本为800新加坡元，远低于同类商业解决方案。
英文摘要：
Josephson Junctions are important components in superconducting qubits. It introduces anharmonicity to the energy level spacings of the qubit which allow us to identify two unique quantum energy states for computing. It is difficult to fabricate multiple junctions within the same desired parameter range. Characterisation of the junctions is, therefore, a necessary step after fabrication. In particular, the critical current of the junctions is determined by measuring their normal state resistance. This is done via two-point or four-point resistance measurement at a manual probe station which is a time-consuming process, especially for wafer-scale fabrication. This bottleneck can be circumvented by automation with object detection. The base of the automated probe station is a 3D printer modified with multiple Arduino Uno microcontrollers and motorised linear stages. The automation process is achieved via auto-alignment of the probes and an automatic measurement procedure. As a result, the fully automated process will take about 27-29 seconds to measure the resistance of one junction which saves 28-51% of the time compared to the manual probe station and can be unsupervised. Due to the reuse of a commercial 3D printer, the cost of this system is 800 SGD which is much less than comparable commercial solutions.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
