humanfia-lab/QIT
QIT Humanize-Physic Formalizations and Proofs QIT (Quantum Information Theory) is a blind benchmark for formalizing theorems in quantum information. It evaluates whether an AI agent can faithfully translate natural-language and TeX problem statements into Lean 4 theorems and then construct formal proofs checked by the Lean kernel. Its 40 tasks cover quantum channels and Choi representations, entropy and coding, mixed-unitary obstructions and symmetry, norm and fidelity tools… See the full description on the dataset page: https://huggingface.co/datasets/humanfia-lab/QIT.
| Author / organization | humanfia-lab |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 463 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 29 July 2026 |
| Last updated at source | 31 July 2026 |
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