沈 泓翔 (シン ゴウショウ)

SHEN Hongxiang

所属組織

先端科学高等研究院

職名

特任教員(助教)


学位 【 表示 / 非表示

  • 博士(工学) - 横浜国立大学

学内所属歴 【 表示 / 非表示

  • 2023年4月
    -
    現在

    専任   横浜国立大学   先端科学高等研究院   特任教員(助教)  

 

論文 【 表示 / 非表示

  • Design and fabrication of integrator using adiabatic quantum-flux-parametron circuit

    Shen, HX; Han, ZY; Li, ZY; He, YX; Yoshikawa, N

    SUPERCONDUCTOR SCIENCE & TECHNOLOGY   38 ( 2 )   2025年2月

    DOI Web of Science

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    記述言語:日本語   掲載種別:研究論文(学術雑誌)   共著  

  • A binary neural computing unit with programmable gate using SFQ and CMOS hybrid circuit

    Li, ZY; Shen, HX; Yoshikawa, N; Yamanashi, Y

    SUPERCONDUCTOR SCIENCE & TECHNOLOGY   37 ( 6 )   2024年6月

    DOI Web of Science

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    記述言語:日本語   掲載種別:研究論文(学術雑誌)   共著  

  • General Matrix Synthesis for Cascaded-Block Filters With Flexible Bandwidth

    He, YX; Zeng, Y; Shen, HX; Yoshikawa, N; Zou, XH; Yan, LS; Macchiarella, G

    IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES   72 ( 6 )   3671 - 3681   2024年6月

    DOI Web of Science

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    記述言語:日本語   掲載種別:研究論文(学術雑誌)   共著  

  • A binary neural computing unit with programmable gate using SFQ and CMOS hybrid circuit

    Li Zongyuan, Shen Hongxiang, Yoshikawa Nobuyuki, Yamanashi Yuki

    Superconductor Science and Technology   37 ( 6 )   2024年5月

    CiNii Research

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:IOP Publishing   共著  

    Superconducting neural networks hold significant potential for future applications such as natural language processing and image recognition. To this end, we propose a binary neural computing unit implemented using a hybrid circuit of cryogenic CMOS and superconducting technologies. It offers two main advantages: firstly, we utilize current-mode computations for neural unit weight calculations, significantly reducing the unit's footprint and enabling the potential for higher integration in the future. Secondly, all computations are performed in a low-temperature environment, which implies the possibility of on-chip learning in superconducting neural networks and the potential for achieving faster training rates in the future. We fabricated the chip using Nb 1 kA cm−2 process (1KP) technology and experimentally verified the correctness of the circuit logic. The margins for various control parameters of the circuit are approximately around 30%, and the superconducting circuit power consumption is estimated to be around 4 microwatts.

  • Generating Microwave Signals with Enhancive Amplitudes Using Superconductor Single Flux Quantum Pulses for Controlling Quantum Bit

    Shen, HX; He, YX; Han, ZY; Li, ZY; Luo, WH; Cheng, L; Luo, YY; Jing, B; Yoshikawa, N

    ADVANCED QUANTUM TECHNOLOGIES   7 ( 8 )   2024年4月

    DOI Web of Science

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    記述言語:日本語   掲載種別:研究論文(学術雑誌)   共著  

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