Quantum Networks is focused on density matrix theory cast into a product operator representation, particularly adapted to describing networks of finite state subsystems. This approach is important for understanding non-classical aspects such as single subsystem and multi-subsystem entanglement. An intuitive picture evolves of how these features are generated and destroyed by interactions with the environment. This second edition has been revised and enlarged. For better clarity the text has been partly reorganized and figures and formulae are presented in a more attractive way.

Quantum Communication, Quantum Networks, and Quantum Sensing represents a self-contained introduction to quantum communication, quantum error-correction, quantum networks, and quantum sensing. It starts with basic concepts from classical detection theory, information theory, and channel coding fundamentals before continuing with basic principles of quantum mechanics including state vectors, operators, density operators, measurements, and dynamics of a quantum system. It continues with fundamental principles of quantum information processing, basic quantum gates, no-cloning and theorem on indistinguishability of arbitrary quantum states. The book then focuses on quantum information theory, quantum detection and Gaussian quantum information theories, and quantum key distribution (QKD). The book then covers quantum error correction codes (QECCs) before introducing quantum networks. The book concludes with quantum sensing and quantum radars, quantum machine learning and fault-tolerant quantum error correction concepts. - Integrates quantum information processing fundamentals, quantum communication, quantum error correction, quantum networks, QKD, quantum sensing, and quantum machine learning - Provides in-depth exposition on the design of quantum error correction circuits, quantum communications systems, quantum networks, and quantum sensing systems - Shows how to design the information processing circuits, stabilizer codes, CSS codes, entanglement-assisted quantum error correction codes - Describes quantum machine learning

The union of quantum networks and artificial intelligence marks a pivotal moment in the trajectory of technological advancement. This encompasses data security, optimization, finance, high-precision sensors, simulations, and computer applications. Numerous quantum information and processing systems have been created and proven in labs, fields, and commercial settings during the last few decades. Quantum technologies have received considerable support for research and development from corporations and governments. However, considerable work is required to bring quantum technology-based gadgets and systems to consumers' homes. Quantum Networks and Their Applications in AI investigates the potential uses of artificial intelligence and related technologies in quantum networks and to educate the computational intelligence community about current advances in quantum information technology. The purpose of this research topic is to bring together individuals from academia and industry, from the classical and quantum artificial intelligence communities in order to discuss the theory, technology, and applications of quantum technologies, and to exchange ideas on how to efficiently advance the engineering and development of this fascinating field. Covering topics such as machine learning, management systems, and quantum networks, this book is a valuable resource for computer scientists, engineers, professionals, researchers, academicians, government officials, policy makers, and more.

The multidisciplinary applications of artificial intelligence (AI) and quantum networking drive transformations across various fields, providing new technology, scientific discoveries, and industry improvements. AI's capability to analyze and interpret data along with quantum networking's secure communication, enables breakthroughs in sectors such as healthcare, finance, and logistics. Continued research into this integration may offer opportunities for innovative models and simulations, improved decision-making, and the development of interdisciplinary collaboration. Multidisciplinary Applications of AI and Quantum Networking explores the application of artificial intelligence and quantum computing across multiple industries, disciplines, and sectors. A variety of intelligent tools and technologies like machine learning, networks, augmented and virtual technology, and artificial intelligence are examined for their usefulness in business, medicine, engineering, marketing, and infrastructure. This book covers topics such as quantum computing, intrusion detection, and web technologies, and is a useful resource for computer engineers, business owners, security professionals, researchers, scientists, and academicians.

Quantum networks build on entanglement and quantum measurement to achieve tasks that are beyond the reach of classical systems. Using quantum effects, we can detect the presence of eavesdroppers, raise the sensitivity of scientific instruments such as telescopes, or teleport quantum data from one location to another. Long-distance entanglement can be used to execute important tasks such as Byzantine agreement and leader election in fewer rounds of communication than classical systems, improving the efficiency of operations that are critical in distributed systems.

This book highlights the novel research in quantum memory networking, especially quantum memories based on cold atomic ensembles. After discussing the frontiers of quantum networking research and building a DLCZ-type quantum memory with cold atomic ensemble, the author develops the ring cavity enhanced quantum memory and demonstrates a filter-free quantum memory, which significantly improves the photon-atom entanglement. The author then realizes for the first time the GHZ-type entanglement of three separate quantum memories, a building block of 2D quantum repeaters and quantum networks. The author also combines quantum memories and time-resolved measurements, and reports the first multiple interference of three single photons with different colors. The book is of good reference value for graduate students, researchers, and technical personnel in quantum information sciences.

This is the first book on secure quantum network coding, which integrates quantum cryptography into quantum communication. It summarizes the main research findings on quantum network coding, while also systematically introducing readers to secure quantum network coding schemes. With regard to coding methods, coding models and coding security, the book subsequently provides a series of quantum network coding schemes based on the integration of quantum cryptography into quantum communication. Furthermore, it describes the general security analysis method for quantum cryptographic protocols. Accordingly, the book equips readers with effective tools for researching and applying quantum network coding.

A highly interdisciplinary overview of the emerging topic of the Quantum Internet. Current and future quantum technologies are covered in detail, in addition to their global socio-economic impact. Written in an engaging style and accessible to graduate students in physics, engineering, computer science and mathematics.

From Distributed Quantum Computing to Quantum Internet Computing Understand the future of the internet with this accessible guide Quantum computing, which draws upon the principles of quantum mechanics to perform computing functions unrestricted by the binary language of ordinary computing, has developed with extraordinary speed in recent years. Progress in quantum computing and its related technological subfields, including quantum internet, has been rapid enough to suggest that we are living in a “new Quantum Age.” To understand the future of the internet, it’s now essential to understand the present and future of quantum computing and quantum internet computing. This book provides a groundbreaking overview of this field of technology and its latest developments. It provides readers with a working knowledge of the key topics required to connect quantum computing to the future of distributed computing and the internet, including important issues like quantum protocols, distributed quantum computations, fundamental computations in the quantum internet architecture, and more. The result is an accessible and essential reference for any reader looking to better understand quantum technologies. From Distributed Quantum Computing to Quantum Internet Computing readers will also find: Detailed discussion of topics including qubit states, entanglement, quantum gates, and more. Mathematical background for underlying key concepts. Worked out examples that aim to initiate readers into the emerging area of quantum internet computing. This book is ideal for researchers and graduate students in quantum computing, quantum internet, quantum communications, and related fields, as well as Computer Scientists and Information Technology students and researchers who want an introductory overview to quantum internet computing.