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Feed Forward Neural Network Approach for Reversible Logic Circuit Simulation in QCA

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Information Systems Design and Intelligent Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 339))

Abstract

Quantum dot Cellular Automata (QCA) is becoming a new paradigm in nanoscale computing. Artificial Neural Network model is a promising model to design and simulate QCA circuits. This study proposes a new approach to design, model and simulate small circuit as well as large circuit. Feed Forward Neural Network (FFNN) model is used to design and simulate the reversible circuit as well as conservative circuit. The simulation result of this proposed FFNN model gives better result than exhaustive simulation of QCADesigner.

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Author information

Authors and Affiliations

  1. Department of Computer Application, B.P. Poddar Institute of Management and Technology, Kolkata, 700052, West Bengal, India

    Arijit Dey

  2. Department of Information Technology, B.P. Poddar Institute of Management and Technology, Kolkata, 700052, West Bengal, India

    Kunal Das

  3. Department of Engineering and Technological Studies, Kalyani University, Kalyani, 741235, West Bengal, India

    Sanjoy Das

  4. Dr. Sudhir Chandra Sur Degree Engineering College, Kolkata, 700052, West Bengal, India

    Mallika De

Authors
  1. Arijit Dey
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  2. Kunal Das
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  3. Sanjoy Das
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  4. Mallika De
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Corresponding author

Correspondence to Arijit Dey .

Editor information

Editors and Affiliations

  1. University of Kalyani, Kalyani, West Bengal, India

    J. K. Mandal

  2. Department of Computer Science and Engineering, Anil Neerukonda Institute of Technology and Sciences, Vishakapatnam, India

    Suresh Chandra Satapathy

  3. Dean, Faculty of Engineering, Technology, University of Kalyani, Kalyani, West Bengal, India

    Manas Kumar Sanyal

  4. Engineering and Technological Studies, University of Kalyani, Kalyani, West Bengal, India

    Partha Pratim Sarkar

  5. Department Computer Science & Engineering, University of Kalyani, Kalyani, India

    Anirban Mukhopadhyay

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Dey, A., Das, K., Das, S., De, M. (2015). Feed Forward Neural Network Approach for Reversible Logic Circuit Simulation in QCA. In: Mandal, J., Satapathy, S., Kumar Sanyal, M., Sarkar, P., Mukhopadhyay, A. (eds) Information Systems Design and Intelligent Applications. Advances in Intelligent Systems and Computing, vol 339. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2250-7_7

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  • DOI: https://doi.org/10.1007/978-81-322-2250-7_7

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2249-1

  • Online ISBN: 978-81-322-2250-7

  • eBook Packages: EngineeringEngineering (R0)

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