1st Edition

Quantum Artificial Intelligence Technologies, Algorithms and Programming

160 Pages 97 B/W Illustrations
by Chapman & Hall

160 Pages 97 B/W Illustrations
by Chapman & Hall

This book explores the transformative potential of quantum computing in artificial intelligence (AI) and its impact on various fields. It delves into the foundational concepts, mathematical frameworks, and algorithmic paradigms, providing a roadmap for interdisciplinary research of quantum computing in AI. With a focus on practical applications and prospects, this book bridges the gap between... Read more

Chapter 1. Introduction to Quantum Computing and Artificial Intelligence

Gursewak Singh, Nimisha Singh, Ramandeep Sandhu, Deepak Saroj, Deepika Ghai

 

Chapter 2. Role of Artificial Intelligence in Quantum Computers: A New Era of Advancements

Sandeep Chouhan, Ramandeep Sandhu, Chandani Bhasin

 

Chapter 3. Navigating the Fusion of Quantum Artificial Intelligence Paradigm Principles and Algorithms

Ahmed Mateen Buttar, Muhammad Anwar Shahid, Sadaf Naz

 

Chapter 4. Future of Quantum Computing: Emerging Trends, Challenges and Applications

Krishan Arora

 

Chapter 5. Quantum Encryption Techniques for Quantum Computers

G. Usha, Kumar Gautaum

 

Chapter 6. Quantum Artificial Intelligence and its Benefits for Businesses

Abhishek Bhattacharjee, Ajay Kumar Badhan, Raman Kumar, Rita Roy

 

Chapter 7. E-business using Quantum Computing and Quantum Artificial Intelligence Methodologies

Harpreet Kaur Channi, Surinder Kaur, Ramandeep Sandhu, Nimisha Singh

 

Chapter 8. A Comprehensive Analysis of the Integration of Quantum Artificial Intelligence with the Internet of Things

Manorama Patnaik, Sakshi Gupta

 

Chapter 9. Quantum Adaptive Key Management and Optimization Network (QAKM-ON): Blockchain Integration to Enhance the Efficiency and Privacy in Quantum Networks

J. Viji Gripsy, N. A. Sheela Selvakumari, John T Mesia Dhas, S. Sahul Hameed

 

Chapter 10. Blockchain-Powered Framework Scheme for Quantum Defensive Artificial Intelligence

Manik Rakhra, Tiyas Sarkar, Gagandeep Singh Cheema

 

Chapter 11. Utilizing Quantum Computing for Modern Agriculture

Sakshi Gupta, Archana Singh, Neetu Singh

 

Chapter 12. Pros and Cons of Quantum Artificial Intelligence w.r.t. Applications

N. Radha, A. Deepika, S. Manju Priya, N. Kavitha, Kiruthika R

 

Chapter 13. Unravelling the Mysteries of Quantum Entanglement's Revolution in Computing and Communication

Mukesh Kumar, Sangeeta Prasher

 

Chapter 14. Quantum Artificial Intelligence for Environmental Management

Manjushree Nayak, N. Toyaad Kumar Reddy

Biography

Deepika Ghai earned her Ph.D in Signal and Image Processing from Punjab Engineering College (Deemed to be University), Chandigarh. She did her M.Tech in VLSI Design & CAD at Thapar University, Patiala, and B.Tech in Electronics and Communications Engineering at Rayat Institute of Engineering and Technology, Ropar. At Lovely Professional University, she is an Associate Professor with more than eight years of experience in academics. She received the Dr. C.B. Gupta Award in 2021 at Lovely Professional University. She has published more than 50 research papers in refereed journals and conferences. Her area of expertise includes Signal and Image Processing, Bio-medical Signal and Image Processing, Artificial Intelligence, Machine Learning, Deep Learning, and VLSI Signal Processing.

Suman Lata Tripathi is a Professor at Symbiosis Institute of Technology (SIT), Symbiosis International (Deemed University), Pune, with more than 23 years of experience in academics. She earned her Ph.D. in microelectronics and VLSI Design from MNNIT, Allahabad. She did her M.Tech in Electronics Engineering at UP Technical University, Lucknow, and her B.Tech in Electrical Engineering at Purvanchal University, Jaunpur. She was also a remote post-doc researcher at Nottingham Trent University, London, UK, in 2022. She has published more than 181 research papers in refereed Springer, Elsevier, IEEE, and IOP science journals, conference proceedings, and e-books. She received the "Research Excellence Award" in 2019 and "Research Appreciation Award" in 2020-2024 at Lovely Professional University, India. She has also received a funded project from SERB DST under the TARE scheme in the area of microelectronic devices.  Her area of expertise includes microelectronics device modeling and characterization, low-power VLSI circuit design, VLSI design of testing, advanced FET design for IoT, Embedded System Design, reconfigurable architecture with FPGAs and biomedical applications.

Ramandeep Sandhu is an Associate Professor at Lovely Professional University with more than 17 years of experience in academics. She earned her Ph.D. in Computer Science and Engineering from Lovely Professional University, Phagwara, Punjab, India. She did her M.Tech and B.Tech in Computer Science and Engineering at Guru Nanak Dev Engineering College, Ludhiana, Punjab, India. She has published more than 30 research papers in journals & conferences. Her academic and research expertise includes Cloud Computing, Cloud Optimization, Machine Learning, Quantum Computing, Data Sciences, Opinion Mining/Sentiment Analysis, C/C++, and Python. She has also published 2 authored books on C++.

Sardar M. N. Islam (Naz) Ph. D, LL.B. (Law) is a Professor, ISILC, & Victoria University, Australia. He is also a Distinguished Visiting Professor of Artificial Intelligence, UniSri, and an Adjunct Professor of IT and Business at Armstrong Institute, Melbourne, Australia. He has published 31 authored books, plus 4 edited books and about 250 articles, including 60 Q1 and Q2 grade journal articles.  He is the Editor-in-Chief of International Transactions on Artificial Intelligence - An AI and Modelling journal. His area of research includes Quantum Computing and Artificial Intelligence.