10% off all books and free delivery over £50
Buy from our bookstore and 25% of the cover price will be given to a school of your choice to buy more books. *15% of eBooks.

Design of Arithmetic Circuits in Quantum Dot Cellular Automata Nanotechnology

View All Editions (2)

The selected edition of this book is not available to buy right now.
Add To Wishlist
Write A Review

About

Design of Arithmetic Circuits in Quantum Dot Cellular Automata Nanotechnology Synopsis

This research monograph focuses on the design of arithmetic circuits in Quantum Dot Cellular Automata (QCA). Using the fact that the 3-input majority gate is a primitive in QCA, the book sets out to discover hitherto unknown properties of majority logic in the context of arithmetic circuit designs.

The pursuit for efficient adders in QCA takes two forms. One involves application of the new results in majority logic to existing adders. The second involves development of a custom adder for QCA technology. A QCA adder named as hybrid adder is proposed and it is shown that it outperforms existing multi-bit adders with respect to area and delay. The work is extended to the design of a low-complexity multiplier for signed numbers in QCA. Furthermore the book explores two aspects unique to QCA technology, namely thermal robustness and the role of interconnects.

In addition, the book introduces the reader to QCA layout design and simulation using QCADesigner.

Features & Benefits:

This research-based book:

·Introduces the reader to Quantum Dot Cellular Automata, an emerging nanotechnology.

·Explores properties of majority logic.

·Demonstrates application of the properties to design efficient arithmetic circuits.

·Guides the reader towards layout design and simulation in QCADesigner.

About This Edition

ISBN: 9783319365114
Publication date:
Author: K Sridharan, Vikramkumar Pudi
Publisher: Springer an imprint of Springer International Publishing
Format: Paperback
Pagination: 116 pages
Series: Studies in Computational Intelligence
Genres: Artificial intelligence
Electronics: circuits and components
Mathematical theory of computation
Atomic and molecular physics
Quantum physics (quantum mechanics and quantum field theory)