Performance Assessment of an Extremely Energy-Efficient Binary Neural Network Using Adiabatic Superconductor Devices-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Performance Assessment of an Extremely Energy-Efficient Binary Neural Network Using Adiabatic Superconductor Devices

Published:2023-06-11 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS)
language:
Short-container-title:

Author:

Chen Olivia¹,Li Zhengang²,Yamauchi Tomoharu³,Wang Yanzhi²,Yoshikawa Nobuyuki⁴

Affiliation:

1. Tokyo City University,Dept. Computer Science,Tokyo,Japan

2. Northeasetern University,Dept. Electrical and Computer Engineering,Boston,USA

3. Tokyo City University,Grad. Sch. Informative Engineering,Tokyo,Japan

4. Yokohama National University,Dept. Electrical and Computer Engineering,Yokohama,Japan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10168547/10168548/10168607.pdf?arnumber=10168607

Reference22 articles.

1. Logic Synthesis of Sequential Logic Circuits for Adiabatic Quantum-Flux-Parametron Logic

2. Algebraic and Boolean Optimization Methods for AQFP Superconducting Circuits

3. MANA: A Monolithic Adiabatic iNtegration Architecture Microprocessor Using 1.4-zJ/op Unshunted Superconductor Josephson Junction Devices

4. Fabrication of Adiabatic Quantum-Flux-Parametron Integrated Circuits Using an Automatic Placement Tool Based on Genetic Algorithms

5. Nb 9-Layer Fabrication Process for Superconducting Large-Scale SFQ Circuits and Its Process Evaluation

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP