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A Novel Architecture for Binary Code to Gray Code Converter Using Quantum Cellular Automata

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Edge Analytics

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 869))

Abstract

In CMOS, the channel length is sinking day by day which raises a lot of questions about its future. Quantum dot computation is an alternative solution to the CMOS technology, which has the strength to increase the speed of computations and reduce the power while performing those computations as well as it reduces the area when compared to CMOS technology. To perform computations using quantum, we generate arithmetic circuits where code converters play a significant role. In this paper, we are discussing 2-, 3-, and 4-bit binary to gray code converters that are designed with a minimum number of qubits using 0.0251, 0.0382, 0.06 \(\upmu \text {m}^2\) area respectively.

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Author information

Authors and Affiliations

  1. National Institute of Technology Karnataka, Surathkal, India

    Mummadi Swathi & Bhawana Rudra

Authors
  1. Mummadi Swathi
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  2. Bhawana Rudra
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, National Institute of Technology Silchar, Silchar, Assam, India

    Ripon Patgiri

  2. National Institute of Technology Silchar, Silchar, Assam, India

    Sivaji Bandyopadhyay

  3. Department of Computer Science and Engineering, National Institute of Technology Silchar, Silchar, Assam, India

    Malaya Dutta Borah

  4. Aurel Vlaicu University of Arad, Arad, Romania

    Valentina Emilia Balas

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Swathi, M., Rudra, B. (2022). A Novel Architecture for Binary Code to Gray Code Converter Using Quantum Cellular Automata. In: Patgiri, R., Bandyopadhyay, S., Borah, M.D., Emilia Balas, V. (eds) Edge Analytics. Lecture Notes in Electrical Engineering, vol 869. Springer, Singapore. https://doi.org/10.1007/978-981-19-0019-8_4

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  • DOI: https://doi.org/10.1007/978-981-19-0019-8_4

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-0018-1

  • Online ISBN: 978-981-19-0019-8

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