Quantum Communication, Quantum Networks, and Quantum Sensing
An Applied Approach
- 2 Edición - 27 de noviembre de 2025
- Última edición
- Autor: Ivan B. Djordjevic
- Idioma: Inglés
Quantum Communication, Quantum Networks and Quantum Sensing: An Applied Approach, Second Edition, is a self-contained and up-to date introduction to quantum communication, quantu… Leer más
Descripción
Descripción
Quantum Communication, Quantum Networks and Quantum Sensing: An Applied Approach, Second Edition, is a self-contained and up-to date introduction to quantum communication, quantum error-correction, quantum networks, and quantum sensing. It provides everything an engineer or computer scientist needs in one tutorial-based introduction to understand and implement quantum-level circuits and modules for quantum communication and networking, quantum sensing, and quantum error correction. This text is suitable for engineers, computer scientists, optical engineers, physicists and mathematicians who want a non-theoretical and practical introduction to quantum communications, quantum networks and quantum sensing.
Puntos claves
Puntos claves
- Provides a clear and easy to understand introduction to the principles that do not require knowledge of quantum mechanics
- Gives an in-depth explanation of designing quantum error correction circuits, quantum communication systems, quantum networks, and quantum sensing systems
- Shows how to design information processing circuits, stabilizer codes, CCS codes, entanglement-assisted quantum error correction codes
- Gives an introduction to quantum machine learning
De interès para
De interès para
Engineers, computer scientists, optical engineers, physicists and mathematicians wanting to understand the principles of quantum communications, quantum networks; quantum sensing; quantum information processing; Quantum machine learning
Índice
Índice
1. Introduction
2. Information theory, channel coding, and detection and estimation
3. Quantum information processing fundamentals
4. Quantum information theory (QIT) and quantum channels
5. Quantum Optics Fundamentals
6. Quantum detection and quantum communications
7. Quantum key distribution (QKD)
8. Quantum error correction
9. Quantum Networks
10. Quantum metrology, quantum sensing, and quantum radars
11. Quantum Machine Learning
12. Fault-tolerant QEC
2. Information theory, channel coding, and detection and estimation
3. Quantum information processing fundamentals
4. Quantum information theory (QIT) and quantum channels
5. Quantum Optics Fundamentals
6. Quantum detection and quantum communications
7. Quantum key distribution (QKD)
8. Quantum error correction
9. Quantum Networks
10. Quantum metrology, quantum sensing, and quantum radars
11. Quantum Machine Learning
12. Fault-tolerant QEC
Detalles del producto
Detalles del producto
- Edición: 2
- Última edición
- Publicado: 5 de diciembre de 2025
- Idioma: Inglés
Sobre el autor
Sobre el autor
ID
Ivan B. Djordjevic
Ivan B. Djordjevic is a Professor of Electrical and Computer Engineering at the Department of Electrical and Computer Engineering, FAMU-FSU College of Engineering, Florida State University, Tallahassee, FL. He used to be a Professor of ECE and Optical Sciences, Director of the Optical Communications Systems Laboratory
and the Quantum Communications Laboratory, and co-Director of the Signal Processing and Coding Lab at the University of Arizona, from which he recently retired. He is a fellow of IEEE and the Optica. Dr. Djordjevic has authored or co-authored 12 books and more than 610 journal and conference publications. He holds 58 US patents. He has served as Area Editor/Associate Editor/Member of Editorial Board/Guest Editor for: IEEE Transactions on Communications, Optica/IEEE Journal of Optical Communications and Networking, IEEE Communications Letters, IOP Journal of Optics, Elsevier Physical Communication (PHYCOM) Journal, Optical
and Quantum Electronics, Frequenz, IEEE Signal Processing Magazine, Entropy, and IEEE/Optica Journal of Lightwave Technology.
Afiliaciones y experiencia
Professor of Department of Electrical and Computer Engineering, FAMU-FSU College of Engineering Florida State University, Tallahassee, FL, USAVer libro en ScienceDirect
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