Singh / Bonkra | Quantum-Enhanced Cloud AI:The Next Frontier in Machine Learning and Deep Learning | E-Book | www.sack.de
E-Book

E-Book, Englisch, 315 Seiten

Singh / Bonkra Quantum-Enhanced Cloud AI:The Next Frontier in Machine Learning and Deep Learning


1. Auflage 2026
ISBN: 979-8-89881-321-5
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 315 Seiten

ISBN: 979-8-89881-321-5
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection



Quantum-Enhanced Cloud AI: The Next Frontier in Machine Learning and Deep Learning presents a scholarly and comprehensive examination of the convergence of quantum computing, cloud infrastructure, and advanced artificial intelligence. As classical computing approaches approach their practical and physical limits, this volume positions quantum-enhanced cloud platforms as a transformative foundation for next-generation machine learning and deep learning systems.
The book systematically introduces core principles of quantum computing, cloud-based quantum architectures, and hybrid quantum-classical models, establishing a strong conceptual foundation before advancing to practical implementations. It critically examines quantum algorithms, error correction challenges, coherence limitations, and architectural considerations that shape the feasibility of Quantum AI. Through detailed case studies and comparative analyses, the book demonstrates how quantum machine learning techniques can outperform classical approaches in domains such as healthcare, bioinformatics, finance, cybersecurity, agriculture, smart cities, and Internet of Vehicles systems. Emerging topics including edge intelligence, quantum-enabled IoT, sustainable supply chains, and secure cloud-based healthcare frameworks are also explored.
Written in a rigorous yet accessible style, this reference work serves graduate students, researchers, and professionals seeking to understand both the theoretical underpinnings and real-world implications of quantum-enhanced AI. It offers valuable insights into the technological, industrial, and societal impact of this rapidly evolving field.
Key Features
· Comprehensive coverage of quantum computing principles and cloud-based AI architectures
· In-depth analysis of hybrid quantum-classical machine learning models and algorithms
· Comparative evaluation of quantum and classical AI approaches across multiple application domains
· Practical insights into implementation challenges, scalability, and security
· Forward-looking perspectives on the future of Quantum AI and intelligent computing systems.

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Weitere Infos & Material


List of Contributors


Aditi Dutta Department of Computer Science and Engineering, CGC - College of Engineering, Mohali, Punjab, India
Akshit Patyal Department of Computer Science and Engineering, CGC - College of Engineering, Mohali, Punjab, India
Aman Modgil Department of Computer Science and Engineering, CGC - College of Engineering, Mohali, Punjab, India
Amanpreet Singh Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, Punjab, India
Anil Kumar Department of Computer Engineering and Technology, Guru Nanak Dev University, Amritsar, Punjab, India
Anupam Bonkra Department of Computer Science and Engineering, Maharishi Markandeshwar (Deemed to be University), Mullana, Haryana, India
Arun Kumar Rana Department of Computer Science and Engineering (CSE), Galgotias College of Engineering and Technology, Greater Noida, Uttar Pradesh, India
Bhawandeep Kaur Department of Computer Engineering and Technology, Guru Nanak Dev University, Amritsar, Punjab, India
Davinder Kaur Department of Computer Applications, Algoma University, Brampton Campus, Ontario, Canada
Gurpreet Singh Department of Computer Engineering and Technology, Guru Nanak Dev University, Amritsar, Punjab, India
Harleen Kaur Department of Computer Science and Engineering, CGC - College of Engineering, Mohali, Punjab, India
Harvinder Singh Department of Mechanical Engineering, Chandigarh Engineering College-CGC Landran, Mohali, Punjab, India
Hatem Salem Abu Hamatta Department of Applied Sciences, Al-Balqa Applied University, Aqaba, Jordan
Indu Bharti Jain Department of Law, Maharishi Markandeshwar (Deemed to be University), Mullana, Haryana, India
Ishpreet Singh Virk Department of Computer Science & Engineering, Chandigarh Engineering College (CEC) Landran, Mohali, Punjab, India
Jagdeep Singh Sappal Department of Transport Engineering Deployment, Telus Corporation, Edmonton, Alberta, Canada
Jasjit Singh Samagh Department of Computer Science and Engineering, Chaudhary Devi Lal University, Sirsa, Haryana, India
Jaspreet Kaur School of Computer Science and Engineering, Lovely Professional University, Punjab, India
Jaspreet Singh Department of Computer Science and Engineering, Chandigarh University, Mohali, Punjab, India
Jaswinder Singh Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, Punjab, India
Jyoti Jyoti Department of Engineering and Technology, Guru Nanak Dev University, Regional Campus Jalandhar, Jalandhar, Punjab, India
Karan Sood Department of Computer Science and Engineering, CGC - College of Engineering, Mohali, Punjab, India
Kashif Nisar School of Arts and Sciences, The University of Notre Dame Australia, Sydney, New South Wales, Australia
Kirandeep Kaur Department of Computer Engineering and Technology, Guru Nanak Dev University, Amritsar, Punjab, India
Komal Komal Department of Computer Science and Engineering, CGC - College of Engineering, Mohali, Punjab, India
Kumari Sarita Department of Computer Science, Guru Nanak Dev University, Amritsar, Punjab, India
Kunjana Mittal Department of Law, Maharishi Markandeshwar University (deemed to be University), Mullana, Ambala, Haryana, India
Manish Sharma Department of Computer Science and Engineering, Chandigarh University, Mohali, Punjab, India
Manuraj Moudgil Department of Computer Science and Engineering, Bhai Gurdas Institute of Engineering & Technology, Sangrur, Punjab, India
Megha Bhushan Department of Computer Languages and Systems, University of Seville, Seville, Andalusia, Spain
Mohammad Tabrez Quasim College of Computing and Information Technology, University of Bisha, Bisha, Asir, Saudi Arabia
Mustafa Ali Khan Compunnel Software Group Inc, Compunnel Software Group Inc, Phoenix, Arizona, USA
Noor Adnan Department of Computer Science, College of Science for Women, University of Baghdad, Baghdad, Iraq
Omar Mbrouk Department of Nano-Chemistry and its Environmental Applications, Environmental Studies and Research Institute, University of Sadat City, Sadat City, Menofia, Egypt
Palwinder Singh Department of Computer Science and Applications, BBK DAV College for Women, Amritsar, Punjab, India
Paramjot Kaur Sarao Department of Computer Science and Engineering, Chandigarh University, Mohali, Punjab, India
Pardeep Tiwana Department of Computer Science and Engineering, CGC - College of Engineering, Mohali, Punjab, India
Parwinder Kaur Dhillon Department of Computer Science, Guru Nanak Dev University, Regional Campus Jalandhar, Jalandhar, Punjab, India
Piyush Samant Department of Data Science, Mirxes Labs Pte Ltd., Kuala Lumpur, Malaysia
Pratibha Pratibha Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, Punjab, India
Preet Kamal Sharma Department of Computer Applications, Post Graduate Government College for Girls, Chandigarh, Punjab, India
Pummy Dhiman Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, Punjab, India
Ritu Ritu Department of Computer Science & Engineering, Chandigarh College of Engineering- CGC Jhanjeri, Mohali, Punjab, India
Rupinder Singh Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, Punjab, India
Sandeep Sood Department Computer Science & Engineering, Guru Nanak Dev University, Amritsar, Punjab, India
Satinder Kaur Department of Computer Engineering and Technology, Guru Nanak Dev University, Amritsar, Punjab, India
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