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Comprehensive description of the principles, algorithms, design technology, quantum machine learning and quantum physics in quantum computing and communications A standalone volume moving from introductory to advanced level, Wireless Quantum Networks Volume 2 provides a step-by-step approach to the subject, with numerous design examples, replacing the classical concept of using "problems and solutions" addendums at the end of the chapters/book, interspersed throughout for students to work on. Further reading is available in Wireless Quantum Networks Volume 1: Intelligent Continuous Variable Technology. Sample topics covered in Wireless Quantum Networks Volume 2 include: Distributed quantum computing (QC), which requires quantum networks (QN) to enable connections between quantum computers General QC algorithms and communication, QC and artificial intelligence (quantum machine learning), quantum cyber security, quantum circuit design, and related quantum physics phenomena Advanced research areas in which quantum technology is becoming a part of, including communications, medicine, biotechnology, chemistry, and more Quantum key distribution over optical and sub optical bands (Terahertz) including wavelengths significantly lower than optical, QC reinforcement learning based protocols, satellite QN, post-quantum cryptography, qubit physics, and implementation examples QN optimization, Q Memories and QN Stability Wireless Quantum Networks Volume 2 is an essential learning resource on the subject for professional computer science and communication engineers, researchers, and under/post-graduate students. It is also a useful reference for regulators in industry seeking to gain an understanding of the subject and complexities of the field.
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