Study

COURSE
Methods of Machine Learning
2166
Radiofrequency systems and devices
2160 Ф
Applied and theoretical physics
2165
Semiconductor physics
2163
Quantum and hybrid materials

In this express-course I will provide the state-of-the-art knowledge in the field of machine learning (ML) interfaced with a quantum information paradigm. Various facets of the subjects will be touched, including quantum inspired machine learning algorithms, modern applications of ML in condensed matter and chemistry, as well as full fledged quantum machine learning developments.
The course is divided into 8 lectures (~2 academic hours each) and 2 seminars, and is intended to be run over 2 weeks period. The lectures will be supplemented with a homework, structured in the form of coding tasks or contemporary literature analysis. After the course, the examination will be performed in the passed/not-passed form.

Language learning
English
Study program:  
Module:  
Special module (Theoretical)
Additional Information

Лектор: Александр Кириенко (University of Exeter)

Syllabus
Syllabus258.53 KB