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An energy efficient design of a multi-layered crossover based 3:8 decoder using quantum-dot cellular automata

Quantum Dot Cellular Automata (QCA) is advancing as an expectant and ongoing nanotechnology that relies on the behavior of electrons interacting with each other in a quantum cell where a single quantum cell acts like a molecule. This emergent technology promises to deal with the limitations of CMOS...

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Detalles Bibliográficos
Autores principales: Das, Rajasree, Shah Alam, Md., Ahmmed, Kazi Tanvir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9691940/
https://www.ncbi.nlm.nih.gov/pubmed/36439764
http://dx.doi.org/10.1016/j.heliyon.2022.e11643
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author Das, Rajasree
Shah Alam, Md.
Ahmmed, Kazi Tanvir
author_facet Das, Rajasree
Shah Alam, Md.
Ahmmed, Kazi Tanvir
author_sort Das, Rajasree
collection PubMed
description Quantum Dot Cellular Automata (QCA) is advancing as an expectant and ongoing nanotechnology that relies on the behavior of electrons interacting with each other in a quantum cell where a single quantum cell acts like a molecule. This emergent technology promises to deal with the limitations of CMOS technology offering very low power operation with high speed. This paper presents an efficient 3:8 decoder using multilayer crossover technique and successfully implemented by QCA. The proposed decoder is more fault tolerant, having high performance and zero crosstalk due to adopting multilayer crossover technique. A comparative study also shows that the proposed design is less complex, dissipates less power and is more cost effective i.e. almost half of the cost of existing decoder having coplanar type. To validate our proposed design QCA Designer tool has been used.
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spelling pubmed-96919402022-11-26 An energy efficient design of a multi-layered crossover based 3:8 decoder using quantum-dot cellular automata Das, Rajasree Shah Alam, Md. Ahmmed, Kazi Tanvir Heliyon Research Article Quantum Dot Cellular Automata (QCA) is advancing as an expectant and ongoing nanotechnology that relies on the behavior of electrons interacting with each other in a quantum cell where a single quantum cell acts like a molecule. This emergent technology promises to deal with the limitations of CMOS technology offering very low power operation with high speed. This paper presents an efficient 3:8 decoder using multilayer crossover technique and successfully implemented by QCA. The proposed decoder is more fault tolerant, having high performance and zero crosstalk due to adopting multilayer crossover technique. A comparative study also shows that the proposed design is less complex, dissipates less power and is more cost effective i.e. almost half of the cost of existing decoder having coplanar type. To validate our proposed design QCA Designer tool has been used. Elsevier 2022-11-15 /pmc/articles/PMC9691940/ /pubmed/36439764 http://dx.doi.org/10.1016/j.heliyon.2022.e11643 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Research Article
Das, Rajasree
Shah Alam, Md.
Ahmmed, Kazi Tanvir
An energy efficient design of a multi-layered crossover based 3:8 decoder using quantum-dot cellular automata
title An energy efficient design of a multi-layered crossover based 3:8 decoder using quantum-dot cellular automata
title_full An energy efficient design of a multi-layered crossover based 3:8 decoder using quantum-dot cellular automata
title_fullStr An energy efficient design of a multi-layered crossover based 3:8 decoder using quantum-dot cellular automata
title_full_unstemmed An energy efficient design of a multi-layered crossover based 3:8 decoder using quantum-dot cellular automata
title_short An energy efficient design of a multi-layered crossover based 3:8 decoder using quantum-dot cellular automata
title_sort energy efficient design of a multi-layered crossover based 3:8 decoder using quantum-dot cellular automata
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9691940/
https://www.ncbi.nlm.nih.gov/pubmed/36439764
http://dx.doi.org/10.1016/j.heliyon.2022.e11643
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