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FAQ

Do I have to be registered for the main conference to participate at the workshop?

Yes. Registration can be found here. Once you have registered, join our slack.

| Deadline | Initially 10th January 2023, Extended 6th February 2023 (23:59 AoE)|

Who can apply to attend the event ?

Although the event is open to anyone willing to attend, the target audience for this workshop are STEM student, at the levels of Masters, but also interested PhD's and young researchers, and of course AIMS students. As prerequisites, we shal leverage on Computational skills: Background that includes some (beginners' level) Python/R; Rudimentary knowledge of programming in Python. It is not required but would be an advantage if one followed an undergraduate course in topology (e.g. chapter 1-3 of J.R. Munkres: Topology). Ideally, the student should be familiar with the construction of free vector spaces and quotient vector spaces, representation of linear maps by matrices, and matrix operations such as multiplication and row/column operations. We will mostly be concerned with finite-dimensional vector spaces over the field of two elements (and occasionally other prime fields).

I have not registered, can I still attend?

Yes, you can still attend even though registration is closed. Here is the link to our Slack. We'll post a link to join the sessions via Zoom even if you aren't able to register! Feel free to reach out to Colleen or Yaé, should you experience any problem.

Where do I get the notebooks for the practical?

The notebooks for the practicl part can be viewed here.

A few other things:

  1. Star the workshop repository on GitHub as well as the original website template repository.
  2. Subscribe to the public workshop Google calendar .
  3. Tell your friends about the workshop.
  4. If you are not sure about what you know in Python, go through this article.
  5. You will also get an overview of Topology (Wikipedia), its branches. A sound introduction to Topology is A First Course in Topology by J. McCleary.
  6. Here is a GitHub repository for resources in Quantum Computing (Wikipedia).
  7. Check FAQ for the list of frequently asked questions.