JSNPE: A Digital Superconducting Spiking Neural Processing Element

doi:10.1109/TASC.2025.3561667

	JSNPE: A Digital Superconducting Spiking Neural Processing Element
	Jiang, Huilong 1,2; Wang, Zhongqi 1; Huang, Junying 1,3; Chen, Gang 4; Zhang, Zhimin 1,3; Ye, Xiaochun 1,3; Fan, Dongrui 1,3; You, Lixing 2
	2025-06-01
发表期刊	IEEE TRANSACTIONS ON APPLIED SUPERCONDUCTIVITY
ISSN	1051-8223
卷号	35 期号:4 页码:12
摘要	Superconducting electronic devices are considered a compelling candidate for designing neuromorphic hardware due to their similar behavioral characteristics. Previous works have shown high potential for applying them to design spiking neural networks. However, convincing schemes remain lacking. This article proposes a Josephson junction (JJ)-based spiking neural processing element, JSNPE, a digital scheme composed of a neural and synaptic module. The neuron is a concise quasidigital circuit with three JJs. It operates asynchronously and realizes the integrate-and-fire model. The synapse is a digital circuit constructed with superconducting rapid single flux quantum devices. Compared to previous designs, JSNPE facilitates network scalability, exhibits higher computational resolution, and enables easier weight configuration. To validate the design, we conducted inference tasks on the IRIS and MNIST datasets using WRspice simulation, with inference parameters obtained through software-based training. The analysis indicates that the inference network can achieve a classification accuracy of 96.7% on IRIS, while for MNIST, the classification accuracy for digit "0" reached 94%. We also evaluated the performance and energy efficiency of JSNPE, demonstrating that JSNPE could achieve significant improvements in both metrics compared to complementary metal oxide semiconductor designs.
关键词	Neurons Synapses Superconducting transmission lines Superconducting logic circuits Neuromorphics Magnetic flux Josephson junctions SQUIDs Membrane potentials Logic Josephson junction (JJ) neuron spiking neural network (SNN) superconducting electronics synapse
DOI	10.1109/TASC.2025.3561667
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[62302477] ; CAS Project for the Youth Innovation Promotion Association
WOS研究方向	Engineering ; Physics
WOS类目	Engineering, Electrical & Electronic ; Physics, Applied
WOS记录号	WOS:001487985100001
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/42388
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Huang, Junying
作者单位	1.Chinese Acad Sci, Inst Comp Technol, State Key Lab Processors, Beijing 100190, Peoples R China 2.Chinese Acad Sci, Natl Key Lab Mat Integrated Circuits, Shanghai Inst Microsyst & Informat Technol, Shanghai 200050, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Chinese Acad Sci, Inst Semicond, Beijing 100083, Peoples R China
推荐引用方式 GB/T 7714	Jiang, Huilong,Wang, Zhongqi,Huang, Junying,et al. JSNPE: A Digital Superconducting Spiking Neural Processing Element[J]. IEEE TRANSACTIONS ON APPLIED SUPERCONDUCTIVITY,2025,35(4):12.
APA	Jiang, Huilong.,Wang, Zhongqi.,Huang, Junying.,Chen, Gang.,Zhang, Zhimin.,...&You, Lixing.(2025).JSNPE: A Digital Superconducting Spiking Neural Processing Element.IEEE TRANSACTIONS ON APPLIED SUPERCONDUCTIVITY,35(4),12.
MLA	Jiang, Huilong,et al."JSNPE: A Digital Superconducting Spiking Neural Processing Element".IEEE TRANSACTIONS ON APPLIED SUPERCONDUCTIVITY 35.4(2025):12.