A1 Journal article (refereed)
Toward Quaternary QCA : Novel Majority and XOR Fuzzy Gates (2022)

Akbari-Hasanjani, R., Sabbaghi-Nadooshan, R., & Haghparast, M. (2022). Toward Quaternary QCA : Novel Majority and XOR Fuzzy Gates. IEEE Access, 10, 38511-38522. https://doi.org/10.1109/ACCESS.2022.3165200

JYU authors or editors

Publication details

All authors or editors: Akbari-Hasanjani, Reza; Sabbaghi-Nadooshan, Reza; Haghparast, Majid

Journal or series: IEEE Access

eISSN: 2169-3536

Publication year: 2022

Publication date: 06/04/2022

Volume: 10

Pages range: 38511-38522

Publisher: Institute of Electrical and Electronics Engineers (IEEE)

Publication country: United States

Publication language: English

DOI: https://doi.org/10.1109/ACCESS.2022.3165200

Publication open access: Openly available

Publication channel open access: Open Access channel

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/80633

Abstract

As an emerging nanotechnology, quantum-dot cellular automata (QCA) has been considered an alternative to CMOS technology that suffers from problems such as leakage current. Moreover, QCA is suitable for multi-valued logic due to the simplicity of implementing fuzzy logic in a way much easier than CMOS technology. In this paper, a quaternary cell is proposed with two isolated layers because of requiring three particles to design this quaternary cell. Moreover, due to the instability of the basic gates, the three particles cannot be placed in one layer. The first layer of the proposed two-layer cell includes a ternary cell and the second one includes a binary cell. It is assumed that the overall polarization of the quaternary QCA (QQCA) cell is determined as the combined polarization of the two layers. The proposed QQCA cell can also be implemented in one layer. Simulations of the QQCA cell are performed based on analytical calculations. Moreover, a majority fuzzy gate, an XOR fuzzy gate, and a crossbar structure are simulated.

Keywords: quantum computers; quantum computing; nanotechnology; fuzzy logic; lithography (microfabrication)

Free keywords: logic gates; integrated circuit modeling; quantum dots; potential well; CMOS technology; quantum computing; lithography; multi-valued QCA; majority fuzzy gate; XOR fuzzy gate; quaternary; polarization; QQCA

Contributing organizations

Ministry reporting: Yes

VIRTA submission year: 2022

JUFO rating: 2