132 Quantum Circuits, 5 Core Modalities, 792 Experiment Results, Bilingual Annotations.
@misc{liu2026qcv, title={QCV: Cost-Aware Evaluation of Visual AI Agents for Quantum Code Generation}, author={Liu, Dongping and Zhang, Aoyu and Zhang, Luyao}, year={2026}, url={https://github.com/QuantBlockchain/quantum-circuit-vision}}
Circuits generated using Qiskit + expert curation. Verified on Braket LocalSimulator.
Computational generation with manual expert annotation
Synthetic generation via Qiskit + expert curation
Limited to Amazon Braket SDK circuits; framework-specific syntax
State vectors from LocalSimulator only; hardware results may differ
Depth range 1-27; may not represent extremely deep circuits
Dataset includes 23.5% blockchain-relevant circuits, which may over-represent cryptographic applications relative to general quantum computing.
Training visual AI agents for quantum circuit understanding
Evaluating multimodal LLMs on code generation from circuit diagrams
Quantum program verification and equivalence checking
Cost-aware model selection for quantum code generation tasks
Community-driven updates; issue tracking via GitHub
No sensitive data; all synthetic quantum circuits