/qmlcourse

Quantum Machine Learning Community Course

Primary LanguageJupyter NotebookCreative Commons Attribution 4.0 InternationalCC-BY-4.0

QMLCourse

Main repository of the course.

  1. Contributing Guide
  2. Course Program
    1. How-to go through the course?
  3. Our Team
  4. Bibtex Citations

Contributing Guide

Course Program

How to read the schema?

  • WHITE - introductory blocks covering prerequisites for the rest of the course;
  • GREEN - main flow of the course with simple introductory lectures on QC and QML;
  • YELLOW - highly recommended facultative lectures which explain additional topics about QML and QC;
  • RED - advanced level lectures which deeply explain the math and the principles underlying QML.

Our Team

Bibtex 

@misc{qmlcourse2021,
  author = {Sinchenko SA et al.},
  title = {QMLCourse},
  year = {2021},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/SemyonSinchenko/qmlcourse.ai}},
}