Machine Learning and Big Data in quantum computing age

Description Hey guys, this needs to be an exposé. If you have any questions please do not hesitate to ask. The instructions are as following: 1. Introduction with relevance / motivation (objective reasons – for personal reasons) 2. possibly more detailed presentation of the practical environment (context-related) 3. Problem identification / need for change / determination of the first requirements 4. Goal (results-oriented!) And research question (e.g. what impact can quantum computing have on machine learning and big data) 5. Delimitation (positive formulation) – What can build on the results of the work? Or what can be done? 6. Knowledge level / state of research in the topic context 7. Relevant theoretical approaches (models, methods, …) 8. Questions about the literature search 9. Definition of the procedure • Contentwise stringency (logical structure, not in the form of the chapter structure – see below) • scientific methodology, theoretical approaches, … • If necessary, alternative solutions 10. Measurability / verifiability of the result 11. Basic literature / initial situation 12. Personal motivation / starting points for your previous work 13. Planning • Chapter structure (up to 3 levels – planned page volume) • Timetable (important milestones) • dependence on external influences 14. Bibliography for this exposé