Quantum Simulation and QEC Decoding on a GPU: The Open Quantum Challenge
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TL;DR
The Open Quantum Challenge turns two of the hardest quantum problems into measurable, reproducible tasks on classical hardware: quantum simulation (Season 1) and QEC decoding (Season 2). You compete with a GPU and a public harness, no quantum computer, for a 2,000 USD prize pool. Here is what each task measures and why it is a good benchmark.
Two tasks, two clean measurements
| Season | Task | What is scored |
|---|---|---|
| 1 | Quantum simulation | How accurately your code reproduces the target quantum system |
| 2 | QEC decoder | How well your decoder corrects errors on the coded states |
Both are attractive as benchmarks because the ground truth is well defined, so submissions are scored against a known target rather than a subjective judge. The harness is public, which means results are reproducible by anyone.
Why simulate and decode on a GPU?
Quantum hardware is scarce, but much of the research value, testing decoders, validating simulation methods, is classical work that a GPU can do now. Opening these tasks to the GPU community widens the pool of people who can push QEC and simulation forward, and it produces a shared, measurable leaderboard instead of scattered private results.
How to enter
- Open the challenge: https://huggingface.co/spaces/FINAL-Bench/open-quantum-challenge
- Copy the guide from the page.
- Paste it into Codex or Claude Code to scaffold your entry.
- Run against the public harness and submit.
FAQ
What are the two seasons? Season 1 is quantum simulation, Season 2 is a QEC decoder.
Do I need quantum hardware? No. A GPU and the public harness are enough.
How is it scored? Against a defined target with a public, reproducible harness.
What is the prize? A total of 2,000 USD.
A note from QuantID. Hosted by FINAL-Bench.