Neuromorphic computing is a broad field that uses biological inspiration to address computing design. It is being pursued in many hardware technologies, both novel and conventional. We discuss the use of superconductive electronics for neuromorphic computing and why they are a compelling technology for the design of neuromorphic computing systems. One example is the natural spiking behavior of Josephson junctions and the ability to transmit short voltage spikes without the resistive capacitive time constants that typically hinder spike-based computing. We review the work that has been done on biologically inspired superconductive devices, circuits, and architectures and discuss the scaling potential of these demonstrations.

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SuperMind：神经形态计算超导电子学潜力调查

神经形态计算是一个广泛的领域，它利用生物学灵感来解决计算设计问题。许多新的和传统的硬件技术都在追求它。我们讨论了超导电子在神经形态计算中的应用，以及为什么它们是设计神经形态计算系统的一项引人注目的技术。一个例子是约瑟夫森结的自然尖峰行为和传输短电压尖峰的能力，而没有通常阻碍基于尖峰计算的阻容时间常数。我们回顾了在受生物启发的超导设备、电路和架构方面所做的工作，并讨论了这些演示的扩展潜力。