AI RESEARCH
QCalEval: Benchmarking Vision-Language Models for Quantum Calibration Plot Understanding
arXiv CS.CV
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ArXi:2604.25884v1 Announce Type: cross Quantum computing calibration depends on interpreting experimental data, and calibration plots provide the most universal human-readable representation for this task, yet no systematic evaluation exists of how well vision-language models (VLMs) interpret them. We