The course starts with a review of the basic principles of quantum mechanics and quantum information processing from perspective of detection and estimation. This is aimed to both reinforce prior learning and make course self-contained. We then introduce the results from classical detection and estimation is centered on applications to radar. This is followed by the study of quantum detection and estimation, with particular focus on quantum radar proposals and their limitations. Finally, after introduction to the fundamentals of classical machine learning, course concludes with the study of quantum machine learning.
Course Credits
3