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Deep Quantum Neural Networks:: AI for 6g/7g Communication Systems

Contributor(s): Kumar, Abhishek (Editor), Rathore, Pramod Singh (Editor), Juárez-Ramírez, Reyes (Editor)

ISBN: 9789819516827

Publisher: Springer

Hardcover
$159.99
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Pub Date: January 3, 2026

Lexile Code: 0000

Target Age Group: NA to NA

Physical Info: 0.67" H x 9.38" L x 6.44" W ( 1.29 lbs) 236 pages

Series: Signals and Communication Technology

Descriptions, Reviews, etc.

Description:

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.

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