QCV-Dataset
type: Dataset
description: 132 Quantum Circuits, 5 Core Modalities, 792 Experiment Results, Bilingual Annotations.
license: https://spdx.org/licenses/MIT.html
cite as: @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}}
creator: Dongping Liu
creator: Aoyu Zhang
creator: Luyao Zhang
date published: 2026-04
version: 1.0.0
data collection:
  description: Circuits generated using Qiskit + expert curation. Verified on Braket LocalSimulator.
  collection method: Computational generation with manual expert annotation
  source: Synthetic generation via Qiskit + expert curation
data limitations: Limited to Amazon Braket SDK circuits; framework-specific syntax
data limitations: State vectors from LocalSimulator only; hardware results may differ
data limitations: Bilingual annotations cover EN/CN only
data limitations: Depth range 1-27; may not represent extremely deep circuits
data limitations: No real quantum hardware execution data
data biases: Dataset includes 23.5% blockchain-relevant circuits, which may over-represent cryptographic applications relative to general quantum computing.
use cases: Training visual AI agents for quantum circuit understanding
use cases: Evaluating multimodal LLMs on code generation from circuit diagrams
use cases: Quantum program verification and equivalence checking
use cases: Cost-aware model selection for quantum code generation tasks
data release maintenance:
  version: 1.0.0
  release date: 2026-04
  maintenance plan: Community-driven updates; issue tracking via GitHub
security privacy:
  personal information: No personal information included
  sensitive data: No sensitive data; all synthetic quantum circuits