Topological Data Analysis and Quantum Computing for beginners

Overview :

Type	Training school & Workshop (aka wosum (workshop and summer school))
Duration/Date	Five-day workshop from the 6th February to 10th February 2023
Format	Hybrid – Online & In-person
Location	The workshop will be hybrid, both virtually and in person in QLA Training room in Kigali, Rwanda. In person attendance is subject to venue capcity and will be done on a first come, first served basis.

Target audience : Masters, interested PhD’s and young researchers, AIMS students.

### Preference :

1. Computational skills: Background that includes some (beginners’ level) Python/R; Rudimentary knowledge of programming in Python.
2. (undergraduate) Mathematics/Physics background; An undergraduate course in topology (e.g. chapter 1-3 of J.R. Munkres: Topology should be familiar). 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).

How to participate

• Visit the registration page of the workshop or the QLA page for the event.

• Join our Slack workspace WoComToQC-Slack for more information about the workshop. Use the channel #general to communicate with the attendees, and organisers. Remember that the workshop onference will be held in both virtual and in-person mode.

• QLA has some limited funding for supporting postgrads and early career researchers, not living in Rwanda, to attend the workshop in person in Kigali. Make sure to apply by the 10th January if you would lke to be considered for such. Please note that funding is not guaranteed. However, on can attend the event online, free of charge.

• For the people joining online, these are the Zoom meting details:

  • Join Zoom Meeting

  • Meeting ID: 825 5499 2803

  • Passcode: 062641

Follow us on our GitHub page .

Please, also visit QLA for more information.