Research on the Bias Network of Energy-Efficient Single Flux Quantum Circuits
2019-08
发表期刊IEEE TRANSACTIONS ON APPLIED SUPERCONDUCTIVITY (IF:1.7[JCR-2023],1.5[5-Year])
ISSN1051-8223
卷号29期号:5
发表状态已发表
DOI10.1109/TASC.2019.2910049
摘要Superconducting single flux quantum (SFQ) circuits have been shown to offer huge advantages that are ideal for high performance computing applications. These circuits can operate at very high frequencies (tens of GHz) but consume very low power (from nanowatts to microwatts per gate). Energy-efficient SFQ (ERSFQ) circuits, evolved from traditional rapid SFQ (RSFQ) circuits, were invented with the goal of elimination of static power dissipation. When compared with RSFQ circuits, ERSFQ circuits require a new biasing network that includes biasing Josephson junction(s), biasing inductor(s), and feeding Josephson transmission line(s). Some general suggestions on how to design the network have been offered, but a detailed analysis and optimization scenario for the network is still to be provided. In this paper, we first optimize the previously reported DC-biased two-Josephson junction per bit RSFQ shift register circuit, which can be used to provide a more robust, energy-efficient, and high memory capacity storage unit. The simulated power dissipation of 16-bit RSFQ shift register is 0.45 mu W per bit when operating at 21.7 GHz. We then convert the RSFQ-based shift register into an ERSFQ structure and investigate the effects of the ERSFQ bias network on the margins of the ERSFQ circuit. Finally, we propose a more comprehensive optimization method for the ERSFQ biasing network.
关键词Energy dissipation RSFQ ERSFQ PSCAN
收录类别SCI ; SCIE
语种英语
资助项目National Science Foundation of China[61601445]
WOS研究方向Engineering ; Physics
WOS类目Engineering, Electrical & Electronic ; Physics, Applied
WOS记录号WOS:000467076200001
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS关键词SHIFT REGISTER ; RSFQ
原始文献类型Article
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文献类型期刊论文
条目标识符https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/40878
专题物质科学与技术学院_博士生
通讯作者Ren, Jie
作者单位
1.Chinese Acad Sci, Shanghai Inst Microsyst & Informat Technol, Shanghai 200050, Peoples R China
2.Chinese Acad Sci, Ctr Excellence Superconducting Elect, Shanghai 200050, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
4.ShanghaiTech Univ, Sch Phys Sci & Technol, Shanghai 200031, Peoples R China
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Li, Guanqun,Ren, Jie,Wu, Yu,et al. Research on the Bias Network of Energy-Efficient Single Flux Quantum Circuits[J]. IEEE TRANSACTIONS ON APPLIED SUPERCONDUCTIVITY,2019,29(5).
APA Li, Guanqun.,Ren, Jie.,Wu, Yu.,Ying, Liliang.,Niu, Minghui.,...&Wang, Zhen.(2019).Research on the Bias Network of Energy-Efficient Single Flux Quantum Circuits.IEEE TRANSACTIONS ON APPLIED SUPERCONDUCTIVITY,29(5).
MLA Li, Guanqun,et al."Research on the Bias Network of Energy-Efficient Single Flux Quantum Circuits".IEEE TRANSACTIONS ON APPLIED SUPERCONDUCTIVITY 29.5(2019).
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