Dataset · Hugging Face

humanfia-lab/QAlg

Name: QAlg
Creator: humanfia-lab
License: apache-2.0
Keywords: task_categories:text-generation, language:en, license:apache-2.0, size_categories:n<1K, format:json, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, region:us, lean, theorem-proving, quantum-computing, autoformalization

QAlg Humanize-Physic Formalizations and Proofs QAlg (Quantum Algorithms) is a blind benchmark for formalizing theorems in quantum algorithms. 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 36 tasks cover quantum circuits, linear algebra, the quantum Fourier transform, Hamiltonian simulation, hidden subgroups, QSP/QSVT, and parameterized… See the full description on the dataset page: https://huggingface.co/datasets/humanfia-lab/QAlg.

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Author / organization	humanfia-lab
License (as declared)	apache-2.0
Downloads	298 (as reported by Hugging Face)
Likes	0
Created	28 July 2026
Last updated at source	31 July 2026

leantheorem-provingquantum-computingautoformalizationformal-verification

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