Design of an efficient ALU blocks in quantum dot cellular automata (QCA)

Ravi N, Veena MB
{"title":"Design of an efficient ALU blocks in quantum dot cellular automata (QCA)","authors":"Ravi N,&nbsp;Veena MB","doi":"10.1016/j.gltp.2022.03.004","DOIUrl":null,"url":null,"abstract":"<div><p>Quantum-dot cellular automata (QCA) is a raising nanotechnology with the potential for quicker speed, smaller size and low power consumption than CMOS based technology. This paper proposes the design of functional blocks for Arithmetic Logic Unit (ALU) and for majority gate (MV) using certain unique QCA characteristics. Previous works were based on the conventional design and have different approaches when compared with QCA method. This paper helps to resolve the conventional method by converting all Boolean logics into a NAND and NOR based majority voter by fixing one of the inputs. The proposed work presents a significant amount of reduction in the cell count, area of the cell, and clock delay phase, compared to previous work in QCA. The experimental result shows a reduction in number of cells is by 35.40%, Area of cells (um2) by 15.88% and clock delay phase by 48.21%. Simulations indicate an appealing performance in terms of area, delay, and complexity. Simulation results are validated using the quantum-dot cellular automata (QCA) Designer 2.0.3 tool.</p></div>","PeriodicalId":100588,"journal":{"name":"Global Transitions Proceedings","volume":"3 1","pages":"Pages 157-168"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666285X22000048/pdfft?md5=b375f0669cd474777951f5bb75b55047&pid=1-s2.0-S2666285X22000048-main.pdf","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Global Transitions Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666285X22000048","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

Quantum-dot cellular automata (QCA) is a raising nanotechnology with the potential for quicker speed, smaller size and low power consumption than CMOS based technology. This paper proposes the design of functional blocks for Arithmetic Logic Unit (ALU) and for majority gate (MV) using certain unique QCA characteristics. Previous works were based on the conventional design and have different approaches when compared with QCA method. This paper helps to resolve the conventional method by converting all Boolean logics into a NAND and NOR based majority voter by fixing one of the inputs. The proposed work presents a significant amount of reduction in the cell count, area of the cell, and clock delay phase, compared to previous work in QCA. The experimental result shows a reduction in number of cells is by 35.40%, Area of cells (um2) by 15.88% and clock delay phase by 48.21%. Simulations indicate an appealing performance in terms of area, delay, and complexity. Simulation results are validated using the quantum-dot cellular automata (QCA) Designer 2.0.3 tool.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
量子点元胞自动机(QCA)中高效ALU模块的设计
量子点元胞自动机(QCA)是一种新兴的纳米技术,与基于CMOS的技术相比,具有更快的速度、更小的尺寸和更低的功耗。本文提出了利用特定的QCA特性设计算术逻辑单元(ALU)和多数门(MV)的功能模块。以往的工作都是基于传统的设计,与QCA方法相比,方法有所不同。本文通过固定其中一个输入,将所有布尔逻辑转换为基于NAND和NOR的多数投票人,从而有助于解决传统方法。与QCA之前的工作相比,所提出的工作在细胞计数、细胞面积和时钟延迟阶段方面都有显著的减少。实验结果表明,该方法使单元数减少35.40%,单元面积(um2)减少15.88%,时钟延迟相位减少48.21%。仿真结果表明,该算法在面积、延迟和复杂度方面具有良好的性能。利用量子点元胞自动机(QCA) Designer 2.0.3工具验证了仿真结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Enhanced Energy Efficient Secure Routing Protocol for Mobile Ad-Hoc Network Grid interconnected H-bridge multilevel inverter for renewable power applications using repeating units and level boosting network Power Generation Using Ocean Waves: A Review Development of an Arabic HQAS-based ASAG to consider an ignored knowledge in misspelled multiple words short answers Smartphone assist deep neural network to detect the citrus diseases in Agri-informatics
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1