Computing with Multi-Value Logic in Quantum Dot Cellular Automata - Hardcover

Sabbaghi-Nadooshan, Reza; Akbari-Hasanjani, Reza; Dehbozorgi, Leila; Haghparast, Majid; Akbari-Hasanjani, Hamid Reza

Hardcover

ISBN 10: 139425394X ISBN 13: 9781394253944

Publisher: Wiley-IEEE Press, 2024

Synopsis

Meet the latest challenges in quantum computing with this cutting-edge volume

Miniaturization is one of the major forms (and drivers) of innovation in electronics and computing. In recent years, the rapid reduction in the size of semiconductors and other key elements of digital technology has created major challenges, which new technologies are being continuously mobilized to meet. Quantum dot cellular automata (QCA) is a technology with huge potential to meet these challenges, particularly if multi-value computing is brought to bear.

Computing with Multi-Value Logic in Quantum Dot Cellular Automata introduces this groundbreaking area of technology and its major applications. Using MATLAB^® software and a novel multi-value logic simulator, the book demonstrates that multi-value circuits with a function that approximates fuzzy logic are within reach of modern engineering and design. Rigorous and clear, this book offers a crucial introduction to the processes of designing multi-value logic circuits with QCA technology.

Readers will also find:

• The tools required to design fuzzy-quantum controllers with high processing speed
• Detailed discussion of topics including basic gate function, the energy consumption of QCA multi-value cells, and much more
• Extensive MATLAB^® data and other worked-through examples

Computing with Multi-Value Logic in Quantum Dot Cellular Automata is ideal for researchers and readers who are looking for an explanation of the basic concepts required to design multi-value circuits in this field.

About this title

About the Author

Reza Sabbaghi-Nadooshan, PhD, is a Professor with the Department of Electrical Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran.

Reza Akbari-Hasanjani, PhD, is with the Department of Electrical Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran.

Leila Dehbozorgi is with the Department of Electrical Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran.

Majid Haghparast is affiliated with the Faculty of Information Technology at the University of Jyväskylä, Jyväskylä, Finland.

Hamid Reza Akbari-Hasanjani, PhD, is with the School of Chemistry, Damghan University, Damghan, Iran.

From the Back Cover

Meet the latest challenges in quantum computing with this cutting-edge volume

Miniaturization is one of the major forms (and drivers) of innovation in electronics and computing. In recent years, the rapid reduction in the size of semiconductors and other key elements of digital technology has created major challenges, which new technologies are being continuously mobilized to meet. Quantum dot cellular automata (QCA) is a technology with huge potential to meet these challenges, particularly if multi-value computing is brought to bear.

Computing with Multi-Value Logic in Quantum Dot Cellular Automata introduces this groundbreaking area of technology and its major applications. Using MATLAB^® software and a novel multi-value logic simulator, the book demonstrates that multi-value circuits with a function that approximates fuzzy logic are within reach of modern engineering and design. Rigorous and clear, this book offers a crucial introduction to the processes of designing multi-value logic circuits with QCA technology.

Readers will also find:

• The tools required to design fuzzy-quantum controllers with high processing speed
• Detailed discussion of topics including basic gate function, the energy consumption of QCA multi-value cells, and much more
• Extensive MATLAB^® data and other worked-through examples

Computing with Multi-Value Logic in Quantum Dot Cellular Automata is ideal for researchers and readers who are looking for an explanation of the basic concepts required to design multi-value circuits in this field.

Edition details

• Publisher: Wiley-IEEE Press
• Publication date: 2024
• ISBN 10: 139425394X
• ISBN 13: 9781394253944
• Binding: Hardcover
• Language: English
• Edition number: 1
• Number of pages: 272