ibm-quantum-challenge-fall-2021
Thank you! We have completed this challenge.
Leaderboard
The Leaderboard shows the top ten scores and the list of the participants who completed the final bonus challenge 4c.
Challenge contents
- Challenge 1: Optimizing your portfolio with quantum computers (Japanese, Korean)
- Challenge 2: Calculate bandgap of OLED molecules (Japanese, Korean)
- Challenge 3: Classify images with quantum machine learning (Japanese, Korean)
- Challenge 4: Battery revenue optimization (Japanese, Korean)
Challenge solution examples
- Challenge 1: by authors
- Challenge 2: by authors
- Challenge 3: by authors
- Challenge 4: by top scorers, by participants, by authors
Introduction
We are proud to welcome you back for another IBM Quantum Challenge. Our team has developed an exciting series of exercises designed to showcase some of quantum computing's different industry applications using Qiskit's application modules: Finance, Nature, Machine Learning, and Optimization.
Starting October 27 at 09:00 AM (EDT), join us on a 10-day challenge that will grow your quantum computing knowledge and skills as you use Qiskit to tackle real-life problems with quantum algorithms.
Read more about the challenge in the announcement blog.
Make sure to join the dedicated Slack channel #challenge-fall-2021 where you can connect with mentors and fellow attendees! Join the Qiskit Slack workspace here if you haven't already.
YouTube livestream
You can watch YouTube livestreams recordings for the four Qiskit application modules.
- Qiskit Optimization & Machine Learning with Atsushi Matsuo & Anton Dekusar
- Qiskit Nature & Finance with Max Rossmannek & Julien Gacon