Online Library TheLib.net » Artificial Intelligence, Machine Learning and Blockchain in Quantum Satellite, Drone and Network
cover of the book Artificial Intelligence, Machine Learning and Blockchain in Quantum Satellite, Drone and Network

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

00
13.02.2024
4
0

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

    Download the book Artificial Intelligence, Machine Learning and Blockchain in Quantum Satellite, Drone and Network for free or read online
    Read Download
    Continue reading on any device:
    QR code
    Last viewed books
    Related books
    Comments (0)
    reload, if the code cannot be seen