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Record Nr. |
UNINA9911049073803321 |
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Autore |
Kumar Abhishek |
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Titolo |
Deep Quantum Neural Networks : AI for 6G/7G Communication Systems / / edited by Abhishek Kumar, Pramod Singh Rathore, Reyes Juárez-Ramírez |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2026 |
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ISBN |
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Edizione |
[1st ed. 2026.] |
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Descrizione fisica |
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1 online resource (285 pages) |
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Collana |
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Signals and Communication Technology, , 1860-4870 |
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Altri autori (Persone) |
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RathorePramod Singh |
Juárez-RamírezReyes |
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Disciplina |
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Soggetti |
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Quantum communication |
Neural networks (Computer science) |
Wireless communication systems |
Mobile communication systems |
Artificial intelligence |
Quantum Communications and Cryptography |
Mathematical Models of Cognitive Processes and Neural Networks |
Wireless and Mobile Communication |
Artificial Intelligence |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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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 |
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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. |
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Sommario/riassunto |
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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. |
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