Deep Quantum Neural Networks:

AI for 6G/7G Communication Systems

Abhishek Kumar, Pramod Singh Rathore, Reyes Juárez-Ramírez (Herausgeber)

Buch | Hardcover

236 Seiten

2026
Springer Verlag, Singapore
978-981-95-1682-7 (ISBN)

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This book looks at how quantum computing, neural networks, and next-generation communication systems can work together in new and exciting ways. The book presents details about cutting edge techniques, such as Tensor Networks and the n-Sci framework, that make 6G and 7G networks faster, safer, and able to grow. It has in-depth discussion on quantum-assisted channel estimates, energy-efficient designs, and ultra-reliable low-latency communication (URLLC), which makes it an important tool for wireless communication scholars and engineers. Some of the unique features are- in-depth case studies, real-life examples in smart cities and autonomous systems, and the use of graphs and tables to make complicated ideas easy to understand. Readers will learn a lot about how future communication will work and how quantum neural networks can be used to change the development of global wireless standards.

Dr. Abhishek Kumar specializes in deep learning and neural networks, with numerous publications in top-tier journals and conferences. His research has significantly contributed to the development of generative models for medical image analysis, particularly in the early diagnosis of neurological disorders. He has been honored with multiple awards for his groundbreaking work in AI applications in healthcare. Dr. Pramod is a leading expert in the application of computational models to medical problems and editors of many medical books. His research has pioneered the use of AI for early detection of diseases, with a strong focus on neurological conditions. Dr. Reyes Juárez-Ramírez has two main areas of interest: software engineering and human–computer interaction. His current research focuses on adaptive interfaces for autistic users, affective aspects in intelligent tutors and videogames, and affective aspects of users in intelligent spaces.

Quantum Neural Networks in 6G/7G Communication Systems.-Tensor Networks in Quantum Neural Network Architectures.- n-Sci: Bridging Science and Quantum Neural Networks.- Quantum-Assisted Channel Estimation for 6G/7G Networks.- n-Sci and Tensor Networks in Smart City and IoT Deployments.- Quantum Neural Networks in Satellite and Space-Based 7G Communications.- Enhancing URLLC in 6G/7G Using Quantum Neural Networks.- Energy-Efficient 7G Networks Using Tensor and Quantum Neural Networks.- Quantum Neural Networks for Security in 6G/7G.- New Paradigms in Edge Computing with Quantum Neural Networks.- Towards Standardization: Quantum Neural Networks in Global 7G Standards.- Quantum Neural Networks for Autonomous 7G Vehicle Communication.- Quantum Neural Networks in Healthcare and Critical Systems.- Tensor Networks and n-Sci: The Road to Beyond 7G.- Quantum Neural Networks in Post-7G Communication.

Erscheinungsdatum	29.11.2025
Reihe/Serie	Signals and Communication Technology
Zusatzinfo	64 Illustrations, color; 16 Illustrations, black and white
Verlagsort	Singapore
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Mathematik / Informatik ► Mathematik ► Angewandte Mathematik
	Naturwissenschaften ► Physik / Astronomie ► Quantenphysik
	Naturwissenschaften ► Physik / Astronomie ► Theoretische Physik
	Technik ► Nachrichtentechnik
Schlagworte	6G/7G Networks • 7G Wireless Technology • Autonomous Systems Communication • Energy-Efficient Wireless Networks • Future 7G Technologies • Next-Generation Wireless Networks • n-Sci Framework • post-quantum cryptography • Quantum AI • Quantum AI for IoT • Quantum AI for Smart Cities • Quantum AI in Satellite Communications • Quantum-Assisted Channel Estimation • Quantum Communications • Quantum Edge Computing • Quantum machine learning • Smart Cities and IoT • Tensor Networks • Ultra-reliable low-latency communication (URLLC)
ISBN-10	981-95-1682-X / 981951682X
ISBN-13	978-981-95-1682-7 / 9789819516827
Zustand	Neuware