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Implementation and Performance Evaluation of Binary to Gray Code Converter Using Quantum Dot Cellular Automata

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Inventive Systems and Control

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 436))

Abstract

Quantum dot cellular automata (QCA) is one of the most well-known nanometre-scale technologies, offering significant size and power reductions as well as a fast switching frequency to surpass the scaling restrictions of complementary metal-oxide semiconductors. A new technological revolution is necessary when an existing technology approaches a deadlock. In response to new challenges in current technology, a complex technology based on Quantum dot cellular automata (QCA) is developed. QCA is an intriguing field of nano-computing technology that offers unmatched compactness, high-speed operation, and very low-power consumption. In comparison to other designs, a 4-bit Binary to Gray Converter with various designs has been illustrated in this article with minimal cell utilization using QCAD simulation tool.

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Author information

Authors and Affiliations

  1. Nitte Meenakshi Institute of Technology, Bangalore, Karnataka, India

    Uttkarsh Sharma, K. Pradeep, N. Samanvita & Sowmya Raman

Authors
  1. Uttkarsh Sharma
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  2. K. Pradeep
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  3. N. Samanvita
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  4. Sowmya Raman
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Corresponding author

Correspondence to N. Samanvita .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Design, Dayananda Sagar College of Engineering, Bengaluru, India

    V. Suma

  2. School of Information Technology, Deakin University, Geelong, VIC, Australia

    Zubair Baig

  3. Department of Mathematics and Computer Science, Ashland University, Wilmington, NC, USA

    Selvanayaki Kolandapalayam Shanmugam

  4. University of Haute Alsace, Alsace, France

    Pascal Lorenz

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Sharma, U., Pradeep, K., Samanvita, N., Raman, S. (2022). Implementation and Performance Evaluation of Binary to Gray Code Converter Using Quantum Dot Cellular Automata. In: Suma, V., Baig, Z., Kolandapalayam Shanmugam, S., Lorenz, P. (eds) Inventive Systems and Control. Lecture Notes in Networks and Systems, vol 436. Springer, Singapore. https://doi.org/10.1007/978-981-19-1012-8_21

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