Skip to main content
Elsevier
View Cart

Quantum Communication, Quantum Networks, and Quantum Sensing

Quantum Communication, Quantum Networks, and Quantum Sensing represents a self-contained introduction to quantum communication, quantum error-correction, quantum networks,… Read more

World Book Day celebration

Where learning shapes lives

Up to 25% off trusted resources that support research, study, and discovery.

Explore resources

Description

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.

Key features

  • 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

Readership

Engineers, computer scientists, optical engineers, physicists and mathematicians wanting to understand the principles of quantum communications, quantum networks and sensing

Table of contents

1. Introduction

2. Detection theory, information theory, and channel coding fundamentals

3. Quantum information processing fundamentals

4. Quantum information theory

5. Quantum detection and gaussian quantum information theories

6. Quantum key distribution (QKD)

7. Quantum error correction fundamentals

8. Quantum stabilizer codes and beyond

9. Quantum LDPC codes

10. Quantum networks

11. Quantum sensing

12. QIP and machine learning (ML)

13. Fault-tolerant QEC

Product details

About the author

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.
Affiliations and expertise
Professor of Department of Electrical and Computer Engineering, FAMU-FSU College of Engineering Florida State University, Tallahassee, FL, USA

View book on ScienceDirect

Read Quantum Communication, Quantum Networks, and Quantum Sensing on ScienceDirect