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Research PaperResearchia:202602.20086

MerLean: An Agentic Framework for Autoformalization in Quantum Computation

Yuanjie Ren

Abstract

We introduce MerLean, a fully automated agentic framework for autoformalization in quantum computation. MerLean extracts mathematical statements from \LaTeX{} source files, formalizes them into verified Lean~4 code built on Mathlib, and translates the result back into human-readable \LaTeX{} for semantic review. We evaluate MerLean on three theoretical quantum computing papers producing 2,050 Lean declarations from 114 statements in total. MerLean achieves end-to-end formalization on all three p...

Submitted: February 20, 2026Subjects: Quantum Physics; Quantum Computing

Description / Details

We introduce MerLean, a fully automated agentic framework for autoformalization in quantum computation. MerLean extracts mathematical statements from \LaTeX{} source files, formalizes them into verified Lean~4 code built on Mathlib, and translates the result back into human-readable \LaTeX{} for semantic review. We evaluate MerLean on three theoretical quantum computing papers producing 2,050 Lean declarations from 114 statements in total. MerLean achieves end-to-end formalization on all three papers, reducing the verification burden to only the newly introduced definitions and axioms. Our results demonstrate that agentic autoformalization can scale to frontier research, offering both a practical tool for machine-verified peer review and a scalable engine for mining high-quality synthetic data to train future reasoning models. Our approach can also be generalized to any other rigorous research in mathematics and theoretical physics.


Source: arXiv:2602.16554v1 - http://arxiv.org/abs/2602.16554v1 PDF: https://arxiv.org/pdf/2602.16554v1 Original Link: http://arxiv.org/abs/2602.16554v1

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Date:
Feb 20, 2026
Topic:
Quantum Computing
Area:
Quantum Physics
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