ANNOUNCEMENT!
We have reached max capacity of this event. Please join #india channel in our Slack Workspace to interact directly with our community and be informed of future events.
Everyone currently registered will be able to participate in the challenge.
The best way to learn is by doing.
Qiskit Challenge India is a 2-week, India only Quantum Machine Learning Challenge. Contestants will progress from the fundamentals of quantum computing and machine learning toward the final task of solving a Quantum classification problem. The challenge will encourage contestants to learn quantum computation by working through exercises, so no prior knowledge of machine learning or quantum computing—though rudimentary python and linear algebra is highly recommended.
Disclaimer: We have limited seats for the Qiskit Challenge India event and they are available on a first come, first serve basis! So go ahead and reserve your seat by registering now!
IBM Quantum is an industry leader in quantum computing, working everyday towards achieving quantum advantage. Qiskit is the open source framework enabling developers around the world to write code for quantum computers. The Qiskit community is organizing the event and will provide mentors to help guide you and answer your Qiskit-related questions.
The Challenge begins on September 1st at 17:00 IST. Teams of up to 5 can participate. The team formation process will be re-enabled before the Week 2 challenge!
How the challenge works: During week 1, a new Daily Challenge will be released each day at 17:00 IST. During week 2, we will release a final challenge on how to implement a VQC algorithm. You will have until the end of the challenge, September 15, 2020 at 16:59 IST, to complete every question and the final challenge.
How to sign up for the challenge:
- Register for the challenge by clicking on 'Register Now'.
- Join the Qiskit Slack workspace, and add yourself to the #india-challenge-2020 channel. This will be the main place for all the contestants to talk and work with mentors.
- When you register, by default you are added as the team leader of your own team. You can either invite others to your team by clicking on 'Build a Team' or join another team by clicking on 'Join a Team'.
Grading criteria:
- Grading will take place based on the Accuracy of the Model.
- In the case of the accuracy of two participants is the same we will use Cost of the Circuit as the tiebreaker—this is a measure of how efficiently the circuit was built.
- In the case that both the accuracy of the model and cost of the circuit match we will use Time of Submission as the final tiebreaker.
- In the case of multiple submissions from one team, only the submission with best accuracy and cost of the circuit with its corresponding time of submission will be considered.
