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The Second Edition of Quantum Information Processing, Quantum Computing, and Quantum Error Correction: An Engineering Approach presents a self-contained introduction to all aspects of the area, teaching the essentials such as state vectors, operators, density operators, measurements, and dynamics of a quantum system. In additional to the fundamental principles of quantum computation, basic quantum gates, basic quantum algorithms, and quantum information processing, this edition has been brought fully up to date, outlining the latest research trends. These include: Key topics include: Quantum error correction codes (QECCs), including stabilizer codes, Calderbank-Shor-Steane (CSS) codes, quantum low-density parity-check (LDPC) codes, entanglement-assisted QECCs, topological codes, and surface codes Quantum information theory, and quantum key distribution (QKD) Fault-tolerant information processing and fault-tolerant quantum error correction, together with a chapter on quantum machine learning. Both quantum circuits- and measurement-based quantum computational models are described The next part of the book is spent investigating physical realizations of quantum computers, encoders and decoders; including photonic quantum realization, cavity quantum electrodynamics, and ion traps In-depth analysis of the design and realization of a quantum information processing and quantum error correction circuits This fully up-to-date new edition will be of use to engineers, computer scientists, optical engineers, physicists and mathematicians.
List of contents
1. Introduction2. Quantum Mechanics Fundamentals3. Quantum Circuits and Modules4. Quantum Information Processing Fundamentals5. Quantum Algorithms and Methods6. Information Theory and Classical Error Correcting Codes7. Quantum Information Theory8. Quantum Error Correction9. Quantum Stabilizer Codes and Beyond10. Quantum LDPC Codes11. Fault-Tolerant Quantum Error-Correction and Fault-Tolerant Quantum Computing12. Cluster State-Based Quantum Computing13. Physical Implementations of Quantum Information Processing14. Quantum Machine Learning15. Quantum Key Distribution
About the author
Ivan B. Djordjevic is a Professor of Electrical and Computer Engineering 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. He is a fellow of IEEE and the Optical Society.
Prof. Djordjevic has authored or co-authored seven books and more than 530 journal and conference publications. He presently serves as a Senior Editor and member of the Editorial Board on the OSA/IEEE Journal of Optical Communications and Networking; the IOP Journal of Optics; IEEE Communications Letters; the Elsevier Physical Communication Journal, PHYCOM; Optical and Quantum Electronics; and Frequenz.
As of August 2020, he holds 53 U.S. patents.
