An efficient design of left shifter in quantum cellular automata

Biplab Das, Debashis De, Jadav Chandra Das, Sagar Sarkar

    Research output: Chapter in Book/Conference paperConference paper

    Abstract

    Quantum-dot Cellular Automata (QCA) is one of the rapidly growing nano-electronic computing technology. QCA is based on electron presents in quantum dots. QCA technology have features on high density, low power and smallest design compare to the other technologies. This paper proposed the basic paradigm of an efficient design of a 4-bit binary Logical Left Shifter circuit for single shift as well as multiple shifts. Due to inherent nature, QCA has been utilized in this paper to achieve low power faster circuit for proposed design. These shifter circuits are useful in floating point processing systems, particularly very useful for mantissa multiplication technique. All the designs are implemented with QCADesigner tool. The accuracy is verified comparing theoretical values and corresponding simulation results.

    Original languageEnglish
    Title of host publicationComputational Intelligence, Communications, and Business Analytics - 1st International Conference, CICBA 2017, Revised Selected Papers
    PublisherSpringer
    Pages108-120
    Number of pages13
    Volume776
    ISBN (Print)9789811064296
    DOIs
    Publication statusPublished - 2017
    Event1st International Conference on Computational Intelligence, Communications, and Business Analytics, CICBA 2017 - Kolkata, India
    Duration: 24 Mar 201725 Mar 2017

    Publication series

    NameCommunications in Computer and Information Science
    Volume776
    ISSN (Print)1865-0929

    Conference

    Conference1st International Conference on Computational Intelligence, Communications, and Business Analytics, CICBA 2017
    CountryIndia
    CityKolkata
    Period24/03/1725/03/17

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    Cite this

    Das, B., De, D., Das, J. C., & Sarkar, S. (2017). An efficient design of left shifter in quantum cellular automata. In Computational Intelligence, Communications, and Business Analytics - 1st International Conference, CICBA 2017, Revised Selected Papers (Vol. 776, pp. 108-120). (Communications in Computer and Information Science; Vol. 776). Springer. https://doi.org/10.1007/978-981-10-6430-2_10