Dr. Santosh Kumar Nanda is working as Asst. General Manager (Lead Data Scientist) in Analytics Center of Excellence, (R & D), FLYTXT Mobile Solution Pvt. Ltd., Trivandrum, India. He completed his Ph.D. from National Institute of Technology, Rourkela. His research interests are Computational Intelligence, Artificial Intelligence, Machine Learning, Statistics and Data Science, Mathematical modeling, Pattern Recognition. He has more than 60 research articles in reputed International Journals and International conferences etc. He is now Editor-in-Chief of Journal of Artificial Intelligence, Associate Editor in International Journal of Intelligent System and Application. He is a member of World Federation Soft Computing, USA.
Over the past half-century, the rapid progression in computing devices, availability of high-performance computing devices helps a researcher to do more research with high volume data. Recently IBM successfully developed quantum processor-based computing devices which very faster than the current computing devices. In general, quantum computing based computing devices integrated with a quantum bit which is faster than a binary bit. Therefore, quantum computing based computer can able to read and process high volume data in a very faster way to compare with conventional 64-bit computing devices. In a similar way, the available classical machine learning algorithms based on binary bit operation has slow performance in high volume data. It is also predicted after commercialization of quantum processor based computer, it will help many industries with maximum benefit and the field of quantum machine learning will widely open to new innovation for solving of future complex problems. This course is representing the quantum machine learning concepts, architectures and model development with quantum bit operations.