大规模制造超导量子处理器的关键要素

Thorsten Last, M. Mongillo, T. Ivanov, Adriaan Rol, A. Lawrence, G. Alberts, D. Wan, A. Potočnik, K. De Greve
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引用次数: 1

摘要

近年来,经典超级计算机和通用量子计算机提供了稳定增长的价值创造计算能力的计算生态系统取得了巨大进展。特别是超导量子比特技术,已经成为实现可扩展量子计算平台的主要候选者,为商业量子优势铺平了道路。然而,目前量子器件的制造和测试的学术方法是不可扩展的,并且已经开始限制该领域的快速发展。需要新颖的解决方案来应对增加量子处理器上的量子比特计数和进一步降低量子比特错误率的双重挑战。反过来,这将导致量子比特制造、测试和诊断的重新加速。在这里,我们介绍了如何将超导量子比特的制造和测试从小规模实验室转移到大规模制造设施环境的各个方面。为了实现这种转移,展示了两个关键要素:(i)超导量子比特的铸造厂兼容制造工艺,可以受益于工业规模CMOS制造设施的先进过程控制;(ii)通过使用靠近量子设备的毫开尔文低温CMOS信号多路复用器,以及集成的量子比特诊断和基准测试工具,加速测试和低温测量吞吐量,端到端数据分析。虽然其中一些元素已经独立探索,但共同开发对于实现量子计算技术的高效可扩展开发周期至关重要。由可扩展的制造、测试和基准测试组成的完整开发周期将使量子计算设备的大规模制造和控制成为可能,从而为商业量子优势铺平道路。
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Key ingredients for manufacturing superconducting quantum processors at scale
Computational ecosystems in which classical supercomputers and general-purpose quantum computers provide a steady increase in value-creating computation capabilities have shown immense progress in recent years. Superconducting qubit technology, in particular, has emerged as a leading candidate for realizing a scalable quantum computing platform ready for paving the way to commercial quantum advantage. However, current academic approaches in fabrication and testing of quantum devices are not scalable and have already started to limit the rapid development of the field. Novel solutions are required to tackle the combined challenge of increasing the qubit count on a quantum processor and the need to further reduce the qubit’s error rates. This, in turn, will lead to a renewed acceleration in qubit manufacturing, test and diagnostics. Here we present aspects of how to move superconducting qubit manufacturing and testing from small-scale laboratory to large-scale fabrication facility environments. To enable this transfer, two key ingredients are demonstrated: (i) A foundry-compatible fabrication process of superconducting qubits that can benefit from the advanced process control in industry-scale CMOS fabrication facilities, and (ii) an acceleration of testing and cryogenic measurement throughput by using a milli-Kelvin cryo-CMOS signal multiplexer operating in near proximity to quantum devices and integrated qubit diagnostic and benchmarking tools with end-to-end data analytics. Although some of these elements have been explored independently, co-development is crucial to enable an efficient scalable development cycle for quantum computing technology. A full development cycle consisting of scalable manufacturing, testing, and benchmarking will enable the large-scale fabrication and control of quantum computing devices and thus pave the way to commercial quantum advantage.
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