Principles and Applications of Quantum Computing Using Essential Math - Hardcover

Hardcover

ISBN 10: 1668475359 ISBN 13: 9781668475355

Verlag: IGI Global, 2023

Inhaltsangabe

In the swiftly evolving realm of technology, the challenge of classical computing’s constraints in handling intricate problems has become pronounced. While classical computers excel in many areas, they struggle with complex issues in cryptography, optimization, and molecular simulation. Addressing these escalating challenges requires a disruptive solution to push the boundaries of computation and innovation. Principles and Applications of Quantum Computing Using Essential Math , authored by A. Daniel, M. Arvindhan, Kiranmai Bellam, and N. Krishnaraj. This guide pioneers the transformative potential of quantum computing by seamlessly blending rigorous mathematics with quantum theory. It equips scholars, researchers, and aspiring technologists with insights to grasp and harness quantum computing’s capabilities. By delving into quantum gates, algorithms, and error correction techniques, the book demystifies quantum computing, inviting exploration of quantum machine learning, cryptography, and the dynamic interplay between classical and quantum computing. As the quantum landscape expands, this book acts as a vital companion, navigating readers through the converging realms of industry, academia, and innovation. Principles and Applications of Quantum Computing Using Essential Math arrives as a timely answer to the limitations of classical computing, providing scholars with an essential roadmap to navigate the quantum technology landscape. With its clear explanations, practical applications, and forward-looking perspectives, this book serves as an indispensable tool for unraveling quantum computing’s mysteries and driving innovation into uncharted domains.

Über diesen Titel

Über die Autorinnen und Autoren

Dr. Kiranmai Bellam is currently working as an Associate Professor in the Department of Computer Science and Associate Dean at Roy G. Perry College of Engineering, Prairieview A&M University, Texas, USA. She completed her B.S. (Information Technology) from Madras University and her M.S. (Computer Science) from New Mexico Tech, USA. She obtained her PhD in computer science from Auburn University, USA. She has more than 15 years of teaching and research experience. Her research interests include energy-efficient algorithms, cybersecurity, and energy conservation. wireless networks, and deep learning. She has published many research articles at international conferences and in reputed international journals like IEEE, Springer, ACM, Taylor & Francis, etc. She is a member in IEEE, UPE, ACM, and SIGCSE.

Krishnaraj Nagappan is working as a Associate Professor, School of Computing, SRM Institute of Science and Technology, Kattankulathur, Tamilnadu, India. He is having 13 years of experience in teaching and research, his research areas are Biometrics, Wireless sensor networks, Internet of Things, Medical image processing. He has completed one funded research project supported by DST, India. He is Cisco certified Routing and switching professional. He has published more than 65 articles in reputed international journals and 15 articles presented in international conferences. He is being serving as a Editorial board member of MAT Journal, IRED and Allied Academic Sciences. He has delivered several special lectures in workshops and seminars. He is a professional society member for ISTE, IEI and IAENG.

Details zur Ausgabe

• Verlag: IGI Global
• Erscheinungsdatum: 2023
• Sprache: Englisch
• ISBN 10: 1668475359
• ISBN 13: 9781668475355
• Einband: Tapa dura
• Anzahl der Seiten: 256
• Herausgeber: Daniel A., Bellam Kiranmai, Arvindhan M.
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: Nicht verfügbar