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


Book Theme

The principles of quantum mechanics are known to humans from the last century with limited technological developments but generally has been the stuff of science fiction movies. The rapid and real development of quantum-based devices is observed in recent years, which opened up new areas of research. During the same time, the rapid progress made in artificial intelligence with machine learning and space technology led to extraordinary accomplishments for the whole human race. Artificial intelligence has emerged as an essential tool to upgrade any machine’s working in an automated way. Whereas, space technology has been recognized in developing and launching satellites to reach out to unknown planets and reveal the unfolding stories of the universe. Today, these developments are being unified to question how quantum computing and artificial intelligence may influence the advancement of satellites & drones into automated quantum satellites & drones. A modern satellite and drone system involves advanced technology including quantum computing and artificial intelligence. An automated satellite system, which can take decisions by itself, may be very helpful for the data collections from the planets, which are very far from the operating station. Such operations require high-speed and very precise computation. Hence, quantum computing is an essential need for such systems to improve performance, decrease computational costs in these satellite operations. Such quantum computations, using a quantum computer, are performed by exploiting quantum phenomena such as superposition, entanglement, and tunneling. Quantum computers are very fast in solving and analysis of very complex problems for which a classical computer would take thousands of years. Despite the acceleration and high performance, there are things, such as the size of the quantum computer and cryogenic temperature required, that still need attention and require improvements. Artificial intelligence also plays an important role in addition to design a modern satellite in addition to quantum computation. The observed improvements by applying quantum computing in artificial intelligence (known as quantum AI) are the quick resolution of complex problems, optimization, ability to spot patterns in extremely large datasets, etc. The use of such quantum AI techniques in satellites or drones improves efficiency and applicability in a great manner. Quite recently, scientists have reported developing a quantum satellite ground station, which is not only very small but also capable of sending messages (data) anywhere in the world. These quantum satellites or drones also provide ultra-high data security. Unlike ordinary satellites, the encryption methods for data security used in such quantum satellites are based on fundamental laws of quantum physics instead of abstract mathematics-based algorithms. Therefore, even a very fast computer cannot creak the transferring data and quantum key communication will remain intact because any attempt to eavesdrop will cause a physical change in the message and trigger a security alert to the sender or receiver.

Topics of interest include, but are not limited the following:

  • Post-quantum Cryptography and Blockchain Technology for Drones and Satellites

  • Blockchain security and quantum Mechanisms in cloud, fog and edge computing environments for Drones

  • Post-quantum blockchain for cryptocurrencies and blockchain networks for drones and Satellites

  • Quantum walks and Quantum Mechanics

  • IoT-based blockchain solutions for futuristic networks

  • Quantum-computing inspired optimization approaches for IoT applications

  • Cloud, Fog, Edge, and serverless computing with quantum science

  • Post-quantum cryptography-enabled secure network for the people, of the people, and by the people.

  • Industry 4.0 integrated solutions using quantum science

  • Case Studies over Healthcare 4.0 and Quantum world

  • Quantum design physical property measurement system for pandemic situations

  • Blockchain solution scalability and autoscaling issues in cryptocurrency networks

  • Blockchain-based security aspects for Quantum systems using Artificial Intelligence Concepts.

  • Blockchain-based security aspects for Quantum systems using Machine Learning Concepts.

  • Blockchain technologies, concepts, models, methodologies, frameworks, simulation, and implementation for Quantum systems.

  • Latest developments, trends, research directions and technological advancements related to Blockchain-based Quantum systems.


Deadlines:

· Chapter abstract/proposal submission deadline: 30 August, 2021

· Notification of proposal acceptance: September 15, 2021

· Full chapter submission deadline: October 15, 2021

· Chapter review report to authors: November 01, 2021

· Final version/CRC submission: December 01, 2021


Abstract Submission:

Kindly submit your abstract here: adarsh.kumar@ddn.upes.ac.in


Submission and formatting:

Abstracts in Word / PDF files should be e-mailed to adarsh.kumar@ddn.upes.ac.in. The abstract should contain: 1) Title 2) Authors & affiliation 3) Type of contribution: case study/ research paper / conceptual paper 4) Estimated no. of pages (excl. references) 5) Abstract of 300 words describing contents of the book chapter (incl. methodology) 6) Keywords (4-5).

Full book chapters will also be submitted through e-mail to adarsh.kumar@ddn.upes.ac.in.

Website: https://sites.google.com/view/qbpc2021,

For queries, please contact (adarsh.kumar@ddn.upes.ac.in).