"Quantum computing is a field in which advanced technologies like quantum communication, artificial intelligence, and machine learning can be used to secure and speed up connectivity using quantum computers, quantum drones, or quantum satellites. This book serves as a foundation for researchers and scientists in this field. Future technologies, such as quantum drone delivery systems, quicker internet, and climate change mitigation, will need quantum information processing and quantum computation. Quantumcomputing's importance in real-time applications are explored in depth in this book. It may be used as a reference book for students in higher education, including undergraduate and graduate students, as well as researchers. This book provides clear insight into the Internet of Drone for Academicians, Postdoc fellows, Research scholars, Graduate and Post-graduate students, Industry-fellows, and Software Engineers. This work will be useful to professionals who seek information about the Internet of Drones. Experts in Quantum Computing and Physics; Post-Quantum Cryptography; Data Scientists; and Data Analysts are among them. Quantum computing and security for Unmanned Aerial Vehicles (UAV) or Drones are widely useful for applications such as military, government, and non-government systems. Thus, this work explores these applications. The Internet of Drones offers vast prospects to improve everyday living for ordinary people. This work also explores similar futuristic aspects"--
Quantum computing's importance in real-time applications are explored in depth in this book which will serve as a foundation for researchers and scientists in this field. Future technologies, such as quantum drone delivery systems, quicker internet, and climate change mitigation.
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Chapter 1 Quantum Information Processes: Role of Quantum Logic Gates |
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1 | (14) |
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Chapter 2 A Brief Study on Quantum Walks and Quantum Mechanics |
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15 | (20) |
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Chapter 3 A Keen Study on Quantum Information Systems |
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35 | (12) |
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Chapter 4 Prologue to Quantum Computing and Blockchain Technology |
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47 | (16) |
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Chapter 5 Quantum Computing Application for Satellites and Satellite Image Processing |
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63 | (20) |
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Chapter 6 Evolution of Deep Quantum Learning Models Based on Comprehensive Survey on Effective Malware Identification and Analysis |
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83 | (24) |
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Chapter 7 Healthcare System 4.0 Driven by Quantum Computing and Its Use Cases: A Covid-19 Perspective |
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107 | (20) |
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Chapter 8 An Overview of Future Applications of Quantum Computing |
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127 | (12) |
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Bijjahalli Sadanandamurthy Sushma |
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Chapter 9 Authentication and Authorization for Electronic Health Records Using Merkle Tree - Attribute-Based Encryption |
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139 | (20) |
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Chapter 10 Artificial Intelligence, Machine Learning and Smartphone-Internet of Things (S-IoT) for Advanced Student Network and Learning |
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159 | (12) |
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Chapter 11 IoT-Based Smart Mask to Combat Covid-19 |
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171 | (12) |
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Chapter 12 Encryption Algorithms for Cloud Computing and Quantum Blockchain: A Futuristic Technology Roadmap |
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183 | (16) |
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Chapter 13 Quantum Artificial Intelligence for the Science of Climate Change |
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199 | (10) |
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Chapter 14 Quantum Computing-Based Optimization in Depression Detection Using Speech |
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209 | (20) |
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Dr. Thiruselvan Subramanian obtained a Graduate degree in Computer Science from Bharathidasan University Tiruchirappalli, India. He received a Postgraduate degree and Ph.D. in Cloud Computing in the Department of Computer Applications, National Institute of Technology, Tiruchirappalli, India. He worked in Softeon Inc, Chennai, as Project Trainee from February 2010 to June 2010 and as a Software Engineer from June 2010 to August 2011. He worked in Vignans Foundation for Science, Technology & Research, Guntur as an Assistant Professor from March 2017 to April 2019. He is currently working as Assistant Professor at Presidency University, Bengaluru. His research interest includes Cloud Computing, Decision Theory, and Parallel Programming.
Dr. Archana Dhyani is an Assistant Professor at the University of Petroleum and Energy Studies, Dehradun, India. She has received her Ph.D. in physics from G.B. Pant University of Ag. and Technology, Pantnagar, India in 2009. She has authored several publications including articles in reputed journals and chapters in standard books etc. She has also been an external expert member for National Science Center, Poland and life time member of Indian Physics Association (IPA). She is also in the reviewer panel of many reputed journals. Her current research interest is to study the spectral and transport properties of quantum dot-based nano-junctions for their various applications like quantum computation etc.
Adarsh Kumar is an Associate Professor in the School of Computer Science with University of Petroleum & Energy Studies, Dehradun, India . He received his Master degree (M. Tech) in Software Engineering from Thapar University, Patiala, Punjab, India and earned his PhD degree from Jaypee Institute of Information Technology University, Noida, India followed by Post-Doc from SRI, AIT, Ireland. From 2005 to 2016, he has been associated with the Department of CSE, JIIT, India, where he worked as Assistant Professor. His main research interests are cybersecurity, cryptography, network security, and ad-hoc networks. He has many research papers in reputed journals, conferences and workshops. He participated in one European Union H2020 sponsored research project and he is currently executing two research projects sponsored from UPES SEED division and one sponsored from Lancaster University.
Sukhpal Singh Gill is a Lecturer (Assistant Professor) in Cloud Computing at the School of Electronic Engineering and Computer Science, Queen Mary University of London, UK. Prior to his present stint, Dr. Gill has held positions as a Research Associate at the School of Computing and Communications, Lancaster University, UK and also as a Postdoctoral Research Fellow at CLOUDS Laboratory, The University of Melbourne, Australia. Dr. Gill received his Bachelors degree in Computer Science and Engineering from Punjab Technical University with Distinction in 2010. Then, he obtained the Degree of Master of Engineering in Software Engineering (Gold Medallist), as well as a Doctoral Degree specialisation in Autonomic Cloud Computing from Thapar University. He was a DST (Department of Science & Technology) Inspire Fellow during his doctoral studies and also worked as a Senior Research Fellow (Professional) on a DST Project sponsored by the Government of India. One of his research paper has been nominated and selected for the ACMs 21st annual Best of Computing Notable Books and Articles as one of the notable items published in computing 2016. His research interests include Cloud Computing, Fog Computing, Software Engineering, Internet of Things and Energy Efficiency. For further information, please visit http://www.ssgill.me.
