Book excerpt: This is a comprehensive description of the principles, algorithms, design technology, quantum machine learning and quantum physics in quantum computing and communications. Current work on quantum computers is motivated by the need for significantly faster and more powerful computers, and there are already in use so-called near-term quantum computers, with initial, reduced capabilities used for research and further enhancement of the technology. The outcome is distributed quantum computing which requires quantum networks to enable connections between such computers, which is a focus of this book. Moving from introductory to advanced level, this is a step-by-step approach, with numerous design examples throughout for students to work on. This is a stand-alone volume, and onward reading is available in Wireless Quantum Networks Volume 1: Intelligent Continuous Variable Technology. Topics covered in Volume 2 include: Quantum Key Distribution; Reinforcement Learning Based on Protocols; Satellite QN; Post-Quantum Cryptography; qubit Physics; Implementation Examples; and more.