Deep Quantum Neural Networks:
AI for 6G/7G Communication Systems
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Beschreibung
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.
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.
Highlights the integration of quantum neural networks with 6G/7G technologies, for next-gen communication systems Explores methods like Tensor Networks, n-Sci framework, driving network performance, security, and scalability Includes case studies on quantum networks for smart cities, IoT, & autonomous systems, showcasing practical applications
Autor*in
Abhishek Kumar
Themen in »Deep Quantum Neural Networks:«
Quantum Communications 6G/7G Networks Quantum Machine Learning Tensor Networks n-Sci Framework Quantum AI Next-Generation Wireless Networks 7G Wireless Technology Smart Cities and IoT Autonomous Systems Communication Quantum-Assisted Channel Estimation Quantum AI for Smart Cities Energy-Efficient Wireless Networks Post-Quantum Cryptography Quantum Edge Computing