AIResAgTeam/Quantum_LIMIT-GRAPH_v2.4.0

Quantum LIMIT-GRAPH v2.4.0

Backend Benchmarking, QEC Integration & Visualization Platform

  

🎯 Core Objectives

1. 1.Backend Benchmarking: Compare Russian vs IBM quantum backends on multilingual edit reliability
2. 2.QEC Integration: Extend REPAIR with Quantum Error Correction for hallucination resilience
3. 3.Performance Visualization: Interactive dashboards across languages, domains, and edit types
4. 4.Hugging Face Integration: Deploy demos, models, and datasets to HF Spaces

✨ Key Features

🔬 Backend Comparison

• —Russian quantum compiler vs IBM Quantum benchmarking
• —Multilingual edit reliability metrics (13+ languages)
• —Domain-specific performance analysis
• —Real-time leaderboard generation

🛡️ Quantum Error Correction (QEC)

• —Surface code integration for REPAIR edits
• —Stabilizer-based hallucination detection
• —Syndrome extraction and correction
• —QEC-enhanced validation pipeline

📊 Visualization Suite

• —Edit trace visualization with correction paths
• —Backend performance heatmaps
• —Language-domain correlation matrices
• —Interactive Plotly dashboards

🤗 Hugging Face Integration

• —Spaces: Interactive demo notebooks
• —Models: Quantum modules with multilingual tags
• —Datasets: Backend-specific edit logs and traces

🚀 Quick Start

# Install dependencies
pip install -r requirements.txt

# Run backend comparison
python src/evaluation/quantum_backend_comparison.py

# Generate leaderboard
python src/evaluation/leaderboard_generator.py

# Launch visualization
python src/visualization/edit_trace_visualizer.py

# Deploy to Hugging Face
python scripts/deploy_to_hf.py

📊 Metrics Tracked

Backend Performance

• —Edit Success Rate: % of valid edits per backend
• —Hallucination Rate: % of hallucinated edits detected
• —Correction Efficiency: QEC correction success rate
• —Latency: Average processing time per edit
• —Fidelity: Quantum circuit fidelity estimation

Language-Specific

• —Cross-Lingual Accuracy: Edit accuracy across language pairs
• —Domain Transfer: Performance across domains (code, text, math)
• —Cyrillic Support: Russian language pattern accuracy

QEC Metrics

• —Syndrome Detection Rate: % of errors detected
• —Correction Success: % of errors corrected
• —Logical Error Rate: Post-QEC error rate
• —Code Distance: QEC code distance used

🏆 Contributor Challenge

Challenge Format

Goal: Improve backend performance or add new QEC codes

Tracks:

1. 1.Backend Optimization: Improve Russian/IBM backend performance
2. 2.QEC Innovation: Implement new error correction codes
3. 3.Visualization: Create new performance dashboards
4. 4.Multilingual: Add support for new languages

Prizes:

• —🥇 Gold: Featured on leaderboard + HF Space showcase
• —🥈 Silver: Contributor badge + Documentation credit
• —🥉 Bronze: GitHub recognition

Submission: PR with benchmarks, tests, and documentation

📁 Repository Structure

quantum-limit-graph-v2.4.0/
├── src/
│   ├── evaluation/
│   │   ├── quantum_backend_comparison.py
│   │   └── leaderboard_generator.py
│   ├── agent/
│   │   ├── repair_qec_extension.py
│   │   └── backend_selector.py
│   └── visualization/
│       └── edit_trace_visualizer.py
├── configs/
│   └── backend_config.yaml
├── data/
│   └── multilingual_edit_logs/
├── notebooks/
│   └── backend_comparison_demo.ipynb
├── tests/
│   ├── test_backend_comparison.py
│   ├── test_qec_integration.py
│   └── test_visualization.py
├── huggingface/
│   ├── spaces/
│   ├── model_cards/
│   └── dataset_cards/
└── scripts/
    └── deploy_to_hf.py

🔗 Links

• —Hugging Face Space: quantum_limit-graph_v2.4.0
• —Model Hub: Quantum Modules
• —Datasets: Edit Logs & Traces
• —Documentation: Full Docs

📄 License

CC BY-NC-SA 4.0 License - See LICENSE for details

🙏 Acknowledgments

Built on top of:

• —Quantum LIMIT-GRAPH v2.3.1 (Superconducting + Compiler Integration)
• —REPAIR Model Editing (Mitchell et al., 2022)
• —Qiskit Quantum Computing Framework
• —Hugging Face Transformers & Spaces

Version: 2.4.0 Release Date: October 15, 2025 Status: ✅ Production Ready