1st Edition

Quantum Computing The Future of Information Processing

Edited By Shrikant Tiwari, Amit Kumar Tyagi, S.V. Nagaraj Copyright 2025
347 Pages 96 B/W Illustrations
by Auerbach Publications

347 Pages 96 B/W Illustrations
by Auerbach Publications

347 Pages 96 B/W Illustrations
by Auerbach Publications

Quantum computing and algorithms are set to revolutionize information processing. Covering such topics, Quantum Computing: The Future of Information Processing explains its principles, practical applications, and future implications in a clear and accessible manner. The book strives to simplify the essential concepts and practical applications of quantum computing. Its aim is to help students... Read more

1. Quantum Computing: Evolution, Recent Advancements, Future Opportunities, and Challenges for Future Generations

Senthil Kumar Arumugam, Bukola Fatimah Balogun, Ajanthaa Lakkshmanan, and Amit Kumar Tyagi

2. Application of Qubits in Artificial Intelligence and Machine Learning

S. Nalini, Amit Kumar Tyagi, Shrikant Tiwari, and Shabnam Kumari

3. Quantum Computing Applications

Ushaa Eswaran, Vivek Eswaran, Keerthna Murali, and Vishal Eswaran

4. Qubit-Based Applications for Next Generation Society

Kandan M., Priyanga Subbiah, Krishnaraj N., and Shaji. K.A. Theodore

5. Quantum Computing: Necessary Applications for the Future

Kali Charan Rath, Emmanuel Philip Ododo, Niranjanamurthy M., Chitta Ranjan Deo, and Biswadip Basu Mallik

6.  Securing IoT: Advanced Algorithmic Approaches for Malware Detection

Vergin Raja Sarobin M., Ashish Choudhary, Azrina Abd Aziz, and Ranjith J.

7. Advancing Drug Discovery with Quantum Machine Learning

Rati Kailash Prasad Tripathi

8. Quantum Neural Networks: An Overview

Priyanga Subbiah, Kandan M., Krishnaraj N., and Shaji. K.A. Theodore

9. Exploring the Intersection of Quantum Neural Networks and Classical Neural Networks for Early Cancer Identification

J. Olalekan Awujoola, T. Aniemeka Enem, J. Adeyemi Owolabi, O. Christiana Akusu, O. Abioye, E. AbidemiAwujoola, and R. OlayinkaAdelegan

10. Cybersecurity Forensics with AI: A Comprehensive Review

Pragati Jain, Priyanka Verma, Tania Debnath, Leoson Heisnam, Shefali Chaudhary, and Sonali Balouria

11. Remote Sensing Imagery Classification Techniques Using Quantum Deep Learning

Puneet Anchalia, G. S. Smrithy, D. Kavitha, and S. Sijin Kumar

12. Mutation-Based Quantum Particle Swarm Optimization (MQPSO): A Novel Approach to Global Optimisation

Biswajit Jana, Bireshwar Dass Mazumdar, Anindya Ghatak, and Manmohan Mishra

13. Decentralizing Trust: Innovating Social Media with Blockchain for Enhanced Authenticity and Fake News Mitigation

Vedant Singh, Andleeb Tanveer, Kalpana A. V., and Ciro Rodriguez R.

14. Quantum Computing Integration: Cutting-Edge and Quantum Computing for Building a Smart and Sustainable Environment

Senthil Kumar Arumugam, Bukola Fatimah Balogun, S. Nalini, and Amit Kumar Tyagi

15. Quantum Computing for Next-Generation Artificial Intelligence-Based Blockchain

Senthil Kumar Arumugam, Shabnam Kumari, Shrikant Tiwari, and Amit Kumar Tyagi

16.  Securing Patient Data in Healthcare with Quantum Cryptography in the Quantum Era

P. Manju Bala, S. Usharani, and A. Balachandar

17. An Analysis of Security Threats in Quantum Computing Information Processing

Kanthavel R., Anju A., Adline Freeda R., S. Krithikaa Venket, Dhaya R., Frank Vijay, and Joseph Fisher

18. Fortifying Cyber Defenses with IDPS Implementation and Management Best Practices

M. Baritha Begum, R. Thillaikarasi, M. Sandhiya, R.C. Jeni Gracia, Suresh Balakrishnan T., Rengaraj Alias R. Muralidharan, Suresh Sankaranarayanan, and Lakshmi Kanthan Narayanan

19. Data Encryption in 6G Networks: A Zero Knowledge Proof Model

P. Selvaraj, A. Hyils Sharon Magdalene, Suresh Sankaranarayanan, Rengaraj Alias Muralidharan R., Priyanga Subbiah, Saranniya S., and Lakshmi Kanthan Narayanan

Biography

Amit Kumar Tyagi is an assistant professor, Department of Fashion Technology, National Institute of Fashion Technology, New Delhi. He earned a Ph.D. from Pondicherry Central University, India. He has worked as assistant professor, and senior researcher at the School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, India.

Shrikant Tiwari is an associate professor in the School of Computing Science and Engineering (SCSE), Galgotias University, Greater Noida, India. He received a Ph.D. from the Department of Computer Science & Engineering at the Indian Institute of Technology (Banaras Hindu University), Varanasi, India. He has authored or co-authored more than 50 national and international journal publications, book chapters, and conference articles. He has five patents filed to his credit. His research interests include machine learning, deep learning, computer vision, medical image analysis, pattern recognition, and biometrics. Dr. Tiwari is a FIETE; a senior member of the IEEE; and member of ACM, IET, CSI, ISTE, IAENG, and SCIEI.

S. V. Nagaraj is currently a professor at Vellore Institute of Technology, Chennai. He obtained a bachelor of engineering in 1992 in computer science from the University of Madras. At the Institute of Mathematical Sciences, Chennai, he completed a master of science via the research program in theoretical computer science in 1994 and obtained a doctoral degree in the same field in 2000.