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State-of-art design: data selectors using quantum-dot cellular automata

Author

Listed:
  • Menda Sreevani

    (Institute of Aeronautical Engineering)

  • Vallabhuni Vijay

    (MLR Institute of Technology)

  • Kancharapu Chaitanya

    (Vignan’s Institute of Information Technology (A))

  • Chelle Radhika

    (Institute of Aeronautical Engineering)

  • Nandi Manjula

    (Institute of Aeronautical Engineering)

  • D. Radha Krishna Koushik

    (Institute of Aeronautical Engineering)

  • B. Sai Venumadhav

    (Institute of Aeronautical Engineering)

  • T. Sai Jaideep

    (Institute of Aeronautical Engineering)

  • Chandra Shaker Pittala

    (MLR Institute of Technology)

  • Sadulla Shaik

    (KKR & KSR Institute of Technology and Sciences)

Abstract

The remedial and high-speed designs are implemented at the optimized performance through quantum-dot cellular automata (QCA). The prime reasons for using the QCA are its features and the adaptability of the software. Features of the QCA are speed, its less size, and power consumption, which is relatively more minor. Attracts the users and researchers to develop new technologies in CMOS. QCA comprises two most important blocks, which are helpful in Boolean functions and their designs. Furthermore, by implementing QCA, there is an easy option of importing gates and multiplexers for development purposes. QCA helps in the practical design of multiplexers through a quantum way of designing. In this designing process, cells and areas, latency are used. Moreover, these can also be seen in the output waveforms. Moreover, the QCA used multiplexer of 4:1 is built using the required specifications.

Suggested Citation

  • Menda Sreevani & Vallabhuni Vijay & Kancharapu Chaitanya & Chelle Radhika & Nandi Manjula & D. Radha Krishna Koushik & B. Sai Venumadhav & T. Sai Jaideep & Chandra Shaker Pittala & Sadulla Shaik, 2024. "State-of-art design: data selectors using quantum-dot cellular automata," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 15(3), pages 1285-1293, March.
  • Handle: RePEc:spr:ijsaem:v:15:y:2024:i:3:d:10.1007_s13198-023-02215-5
    DOI: 10.1007/s13198-023-02215-5
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    References listed on IDEAS

    as
    1. Puli Raju & Vallabhuni Vijay & P. Ashok Babu & P. Sridhar, 2023. "State of the art design of adder modules: performance validation of GDI methodology for energy harvesting applications," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(6), pages 2176-2186, December.
    2. Yihan Wang & E. Turkina & S. Khoury & N. Lemay, 2023. "Causal Configurations of SME Strategic Renewal in Crisis: Qualitative Comparative Analysis (QCA) of Quebec Entrepreneurs amid COVID-19," Post-Print hal-04434047, HAL.
    3. Sadulla Shaik & Satish Kanapala & Vallabhuni Vijay & Chandra Shaker Pittala, 2023. "Design and performance analysis of low power and energy-efficient vedic multipliers," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(3), pages 894-902, June.
    4. Songsong Cheng & Qunpeng Fan & Minghao Huang, 2023. "Strategic Orientation, Dynamic Capabilities, and Digital Transformation of Commercial Banks: A Fuzzy-Set QCA Approach," Sustainability, MDPI, vol. 15(3), pages 1-19, January.
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