For IBM Quantum Challenge Africa 2021, 9 September (07:00 UTC) - 20 September (23:00 UTC).

Related tags

Deep Learning ibm-quantum-challenge-africa-2021
Overview

IBM Quantum Challenge Africa 2021

To ensure Africa is able to apply quantum computing to solve problems relevant to the continent, the IBM Research Lab in South Africa and the University of the Witwatersrand have developed a quantum computing challenge that focuses on the fields of optimization, finance, and chemistry. This challenge will boost participant's quantum computing skills and give them the tools to devise the best solutions to real-world issues faced in Africa.

The challenge exercises are developed by African researchers for African learners, researchers, and industry professionals. Participants need not have any formal education in quantum computing, as the challenge focuses on its application to already existing classical problems.

The challenge will take place from 9 September (07:00 UTC) to 20 September (23:00 UTC). Read more about the challenge in the announcement blog.

Make sure to join the dedicated Slack channel #challenge-africa-2021 where you can connect with mentors and fellow attendees! Join the Qiskit Slack workspace here if you haven't already. Please also review our Slack Guidelines to make the most of your experience!

Event Code of Conduct

Preliminary Content

FAQ

Submitting Solutions

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Comments
  • Added my exercise answers and explanations

    Added my exercise answers and explanations

    My open-ended solutions were scored as 100 and ~85, respectively. All other answers were marked as correct. Each exercise has a section titled as follows:

    Solution This shows the solution explanation.

    opened by Mouhamedaminegarrach 1
  • Add community guideline doc from iqc21 repo (with edits)

    Add community guideline doc from iqc21 repo (with edits)

    Changes include

    • Rename challenge to IBM Quantum Challenge Africa 2021
    • Fix incorrect capitalization of Slack
    • Change Slack channel name to #challenge-africa-2021
    • Change Slack channel link to match the channel name
    opened by conradhaupt 1
  • Added my exercise answers and explanations

    Added my exercise answers and explanations

    My open-ended solutions were scored as 100 and ~85, respectively. All other answers were marked as correct. Each exercise has a section titled as follows:

    Solution

    This shows the solution explanation.

    opened by RoyalWeden 1
  • Fixed erros in subscripts

    Fixed erros in subscripts

    The subscripts in the commentary were different from the subscripts in the paper that was supposed to be cited.

    In the text, "\textbf{X}_N" is used, but I think "\textbf{X}_M" is correct.

    notebook : lab2.ipynb section : Monte Carlo methods for option pricing body : Generate a large number, $M$, of random values which can serve as price paths ${\textbf{X}_1, \textbf{X}_2, . . . , \textbf{X}_N} $ for the underlying asset. These random values should be drawn from the probability distribution implied by the stochastic process. Let's call this distribution $\mathbb{P}$.

    source : Option Pricing Using Quantum Computers https://arxiv.org/abs/1905.02666

    It would be helpful if you could check it out.

    Thank you.

    opened by rsobt 1
Owner
Qiskit Community
Qiskit Community
GitHub https://ibm.co/ibmQuantumAfrica21
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