Overview
- Covers several futuristic computing technologies, e.g. quantum computing, quantum-dot cellular automata, DNA computing, and optical computing
- Includes explanatory examples, and tutorials on a CAD tool that will greatly benefit beginners
- Discusses the advantages of reversible logic
Part of the book series: Studies in Computational Intelligence (SCI, volume 879)
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Table of contents (10 chapters)
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Front Matter
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Back Matter
Keywords
About this book
This book covers several futuristic computing technologies like quantum computing, quantum-dot cellular automata, DNA computing, and optical computing. In turn, it explains them using examples and tutorials on a CAD tool that can help beginners get a head start in QCA layout design. It discusses research on the design of circuits in quantum-dot cellular automata (QCA) with the objectives of obtaining low-complexity, robust designs for various arithmetic operations. The book also investigates the systematic reduction of majority logic in the realization of multi-bit adders, dividers, ALUs, and memory.
Authors and Affiliations
About the authors
Dr. Ashutosh Kumar Singh is working as a Professor and Head; Department of Computer Applications; National Institute of Technology; Kurukshetra, India. He has more than 15 years research and teaching experience. Dr Singh has obtained Ph. D. degree in Electronics Engineering from Indian Institute of Technology, BHU, India, Post Doc from Department of Computer Science, University of Bristol, UK and Charted Engineer from UK. His research area includes Verification, Synthesis, Design and Testing of Digital Circuits. He has published more than 150 research papers till now in peer reviewed journals, conferences and news magazines and in these areas. He is the co-author of six books which includes “Web Spam Detection Application using Neural Network”, “Digital Systems Fundamentals” and “Computer System Organization & Architecture”. He is also an Editorial Board Member of several international journals. He is also involved in reviewing process in different journals and conferences such as; IEEE transaction of computer, IET, IEEE conference on ITC, ADCOM etc.
Prof. Anand Mohan, former Director of National Institute of Technology (NIT), Kurukshetra, Haryana has 41 years of rich experience in teaching, research, industrial R & D. He is currently working as Professor (HAG) in the Department of Electronics Engineering, IIT(BHU), Varanasi. He has made notable research contributions in the areas of robust watermarking, telemedicine, and fault tolerant digital system design. Eleven students have been awarded Ph.D. degree under his supervision. He has published 145 research papers in reputed international / national journals and conference proceedings and made two chapter contributions in books. Prof. Mohan obtained UG, PG and Ph. D. degrees in Electronics Engineering from Banaras Hindu University. He is recipient of ‘Life Time Achievement Award’ conferred by Kamla Nehru Institute of Technology (KNIT), Sultanpur (2016). His co-authored research papers have merited Best Postgraduate Research Paper Award of Bintulu Development Authority, Malaysia (2012), awards of International Union of Radio Science, Belgium (2005), Institution of Engineers, India (2003), and Indian Science Congress (1999). Prof. Mohan is Fellow of Institution of Electronics and Telecommunication Engineers (IETE), Fellow of Institution of Engineers (I), Member, IEEE, USA life member of Project Management Associates (PMA), New Delhi, and Life member of Indian Society of Technical Education (ISTE), New Delhi.
Bibliographic Information
Book Title: Quantum-Dot Cellular Automata Based Digital Logic Circuits: A Design Perspective
Authors: Trailokya Nath Sasamal, Ashutosh Kumar Singh, Anand Mohan
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-981-15-1823-2
Publisher: Springer Singapore
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2020
Hardcover ISBN: 978-981-15-1822-5Published: 18 January 2020
Softcover ISBN: 978-981-15-1825-6Published: 18 January 2021
eBook ISBN: 978-981-15-1823-2Published: 16 December 2019
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XIV, 178
Topics: Nanotechnology and Microengineering, Logic Design, Logic in AI