Artificial Intelligence, Machine Learning and Blockchain in Quantum Satellite, Drone and Network

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 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, will need quantum information processing and quantum computation. This book deeply explores the importance of quantum computing in real-time applications. It may be used as a reference book for students in higher education, including undergraduate and graduate students, as well as researchers. Key features: Provides a clear insight into the Internet of Drones for academicians, postdoc fellows, research scholars, graduate and postgraduate students, industry fellows and software engineers Useful to professionals who seek information about the Internet of Drones, including experts in quantum computing and physics and post-quantum cryptography, as well as data scientists and data analysts Covers quantum computing and security for Unmanned Aerial Vehicles (UAV) or drones which are widely useful for applications such as military, government, and non-government systems Explores futuristic aspects of the Intenet of Drones to improve everyday living for ordinary people

Quantum Information Processes: Role of Quantum Logic Gates B.S. Tewari, P.Mandal, and Prashant Rawat A Brief Study on Quantum Walks and Quantum Mechanics Sapna Renukaradhya, Preethi, Rupam Bhagawati, andThiruselvan Subramanian A Keen Study on Quantum Information Systems Rupam Bhagawati, Thiruselvan Subramanian, and Arish Pitchai Prologue to Quantum Computing and Blockchain Technology Manasa C.M and Pavithra N. Quantum Computing Application for Satellites and Satellite Image Processing Ajay Kumar, Bhagya Sindhu Tewari, and Kamal Pandey Evolution of Deep Quantum Learning Models based on Comprehensive Survey on Effective Malware Identification and Analysis S. PoornimaandThiruselvan Subramanian Healthcare System 4.0 Driven by Quantum Computing and Its Use Cases: A COVID-19 Perspective Naga Raju Mysore An Overview of Future Applications of Quantum Computing Taskeen Zaidi and Bijjahalli Sadanandamurthy Sushma Authentication and Authorization for Electronic Health Records using Merkle Tree - Attribute Based Encryption Mahalingam P. R. Artificial Intelligence, Machine Learning and Smartphone-Internet of Things (S-IoT) for Advanced Student Network and Learning Santosh R. Gaikwad Role of IoT-Based Smart Mask to Combat COVID-19 Harveen Kaur, Harpreet Kaur, and Navjot Kaur Encryption Algorithms for Cloud Computing and Quantum Blockchain: A Futuristic Technology Roadmap Prabhsharan Kaur, Isha Sharma, and Rahul Kumar Singh Quantum Artificial Intelligence for the Science of Climate Change Manmeet Singh, Chirag Dhara, Adarsh Kumar, Sukhpal Singh Gill, and Steve Uhlig Quantum Computing-Based Optimization in Depression Detection Using Speech Surbhi Sharma

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 Vignan’s 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 Bachelor’s 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 ACM’s 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.