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Paper Abstract and Keywords
Presentation 2024-08-09 10:30
Design of Single Flux Quantum circuit with ReLU function output characteristics for neurons with superconducting devices
Yuto Ueno, Yuki Hironaka, Nobuyuki Yoshikawa, Yuki Yamanashi (YNU) SCE2024-2
Abstract (in Japanese) (See Japanese page) 
(in English) To design a circuit dedicated to artificial intelligence using single flux quantum circuits to reduce the training time and power consumption of artificial neural networks. The objective is to improve the generality and efficiency of the model by changing the activation function from a sigmoid function to a ReLU function, and by using DFFE and RDFF, a circuit with ReLU function output characteristics is successfully designed.The maximum operating frequency was 49 GHz, and the bias margin ranged from 13.2 % to -23.2 % at an input of 40 GHz.
Keyword (in Japanese) (See Japanese page) 
(in English) Artificial Neural Network / Single Flux Quantum / Artificial Intelligence / ReLU / / / /  
Reference Info. IEICE Tech. Rep., vol. 124, no. 151, SCE2024-2, pp. 6-10, Aug. 2024.
Paper # SCE2024-2 
Date of Issue 2024-08-02 (SCE) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF SCE2024-2

Conference Information
Committee SCE  
Conference Date 2024-08-09 - 2024-08-09 
Place (in Japanese) (See Japanese page) 
Place (in English) Kikai-Shinko-Kaikan Bldg. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Superconducting Electronics, etc. 
Paper Information
Registration To SCE 
Conference Code 2024-08-SCE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Design of Single Flux Quantum circuit with ReLU function output characteristics for neurons with superconducting devices 
Sub Title (in English)  
Keyword(1) Artificial Neural Network  
Keyword(2) Single Flux Quantum  
Keyword(3) Artificial Intelligence  
Keyword(4) ReLU  
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1st Author's Name Yuto Ueno  
1st Author's Affiliation Yokohama National University (YNU)
2nd Author's Name Yuki Hironaka  
2nd Author's Affiliation Yokohama National University (YNU)
3rd Author's Name Nobuyuki Yoshikawa  
3rd Author's Affiliation Yokohama National University (YNU)
4th Author's Name Yuki Yamanashi  
4th Author's Affiliation Yokohama National University (YNU)
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Speaker Author-1 
Date Time 2024-08-09 10:30:00 
Presentation Time 25 minutes 
Registration for SCE 
Paper # SCE2024-2 
Volume (vol) vol.124 
Number (no) no.151 
Page pp.6-10 
#Pages 5 
Date of Issue 2024-08-02 (SCE) 

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