169
Views
5
CrossRef citations to date
0
Altmetric
Research Articles

An efficient QCA-based full adder design with power dissipation analysis

, &
Pages 55-67 | Received 06 Dec 2020, Accepted 13 Nov 2021, Published online: 09 Jan 2022
 

ABSTRACT

Quantum Dot-Cellular automata (QCA) is a developing technology that is considered as the best viable alternate solution for CMOS technology which has short-channel effects. QCA is a transistor-free technology, and the information is distributed formulated on the charge of the electron and by Columbic repulsion theory. In this paper, an optimal adder circuit is proposed using QCA technology which consist only 14 cells. The proposed adder circuit is further utilised for designing of 4-bit adder design efficiently. Simulations results, are obtained precisely using QCADesigner software version 2.0.3., confirm that the proposed circuits work well. Moreover, the energy dissipations of the proposed adder circuit design is estimated using QCAPro tool. The performance of the proposed design was compared with the existing ones which shows better performance in terms of cell count, area, and latency. Suggested 1-bit and 4-bit QCA adders exhibit a delay of 0.5 and 1.25 clock cycle, occupy an active area of 0.01 and 0.1 and μm2, and use 14 and 84 QCA cells, respectively.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 309.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.