约瑟夫森结二进制振荡器计算

S. Lynch, J. Borresen, Kit Latham
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引用次数: 3

摘要

第一台现代计算机是在20世纪40年代末在曼彻斯特大学建造的,其中使用的主要部件是真空管振荡器。随着晶体管的发展,这种基于振荡器的计算机很快就过时了。本文提出了一种基于神经动力学的超导约瑟夫森结(JJ)技术的新应用。神经元型振荡器可以由js构建,它们可以以完全符合现代体系结构的方式连接在一起形成计算机电路。给出了计算和存储的simmetrix模型,并讨论了度量。据估计,JJs的开关速度比晶体管快100倍,耗电量比晶体管低300倍(包括超冷)。利用本文中描述的电路,还估计计算机可以使用至少减少10倍的元件来构建。因此,从理论上讲,这些基于jj的计算机的效率可能比CMOS计算机高30万倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Josephson junction binary oscillator computing
The first modern computers were built at Manchester University in the late 1940s and amongst the principal components used were vacuum tube oscillators. Following the development of the transistor, such oscillator-based computers quickly became obsolete. Here, a novel application of superconducting Josephson Junction (JJ) technology based on neural dynamics is proposed. Neuron-type oscillators can be constructed from JJs and they can be connected together to form computer circuits in a manner entirely consistent with modern architectures. SIMetrix models of both computation and memory are presented and metrics are discussed. It has been estimated that JJs switch 100 times faster than their transistor counterparts and use 300 times less power (including the super-cooling). Utilizing the circuits described in this paper, it is also estimated that computers could be constructed using at least 10 times fewer components. Thus, theoretically these JJ-based computers could be up to 300,000 times more efficient than their CMOS counterparts.
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