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---
title: Quantum LIMIT-GRAPH v2.4.0-NSN Dashboard
app_file: app.py
python_version: 3.9
sdk_version: 5.49.1
emoji: 🚀
colorFrom: indigo
colorTo: green
sdk: gradio
license: cc-by-nc-sa-4.0
pinned: true
---

# Quantum LIMIT-Graph v2.4.0: NSN Integration Dashboard

Interactive dashboard for contributor challenges in Nested Subspace Networks (NSN) integration with quantum backends.

## 🎯 Features

### Panel 1: Backend Telemetry Rank Adaptation
- **Function**: Adjust NSN rank based on backend health metrics
- **Visualization**: Line chart of rank vs reliability across backend states
- **Contributor Task**: Submit edits optimized for dynamic rank shifts
- **Metric**: Responsiveness vs reliability trade-off

### Panel 2: Multilingual Accuracy Heatmap
- **Function**: Track accuracy across languages and ranks
- **Visualization**: Heatmap showing performance matrix
- **Contributor Task**: Optimize edits for multilingual scenarios
- **Metric**: Average accuracy across language-rank pairs

### Panel 3: Cross-Lingual Edit Propagation
- **Function**: Transfer edits from high-resource to low-resource languages
- **Visualization**: Containment heatmap with flow arrows
- **Contributor Task**: Submit propagation strategies
- **Metric**: Quality score of propagated edits

### Panel 4: Pareto Frontier
- **Function**: Visualize efficiency vs expressiveness trade-offs
- **Visualization**: Scatter plot with Pareto frontier
- **Contributor Task**: Optimize for compute-performance balance
- **Metric**: Position on Pareto frontier

### Panel 5: Contributor Leaderboard
- **Function**: Track contributor performance and provide feedback
- **Visualization**: Leaderboard table + personalized feedback
- **Contributor Task**: Submit edits across ranks and languages
- **Metric**: Efficiency badge (accuracy/FLOPs)

### Panel 6: Ensemble Inference
- **Function**: Run edits across multiple quantum backends
- **Visualization**: Agreement matrix heatmap
- **Contributor Task**: Submit ensemble edits
- **Metric**: Agreement score + reliability boost

## 🚀 Quick Start

### Using the Dashboard

1. **Select a Panel**: Choose from the 6 tabs
2. **Configure Parameters**: Adjust backends, languages, ranks
3. **Generate Visualizations**: Click the refresh button
4. **Analyze Results**: Review metrics and insights
5. **Submit Contributions**: Export your results

### Example Workflow

```python
# 1. Test backend adaptation
backend = 'ibm_washington'
# View FLOPs vs Reliability chart

# 2. Analyze multilingual performance
languages = ['english', 'chinese', 'indonesian']
# View accuracy heatmap

# 3. Test edit propagation
source = 'english'
target = 'indonesian'
rank = 128
# View containment scores

# 4. Check your position on Pareto frontier
# Submit your data and see your ranking

# 5. Get personalized feedback
contributor_id = 'your_id'
# View recommendations and badges

# 6. Run ensemble inference
backends = ['ibm_manila', 'ibm_washington', 'russian_simulator']
# View agreement matrix
```

## 📊 Leaderboard Metrics

### Scenario 1: Telemetry Adaptation
- **Responsiveness**: Adaptation speed (higher is better)
- **Reliability**: Predicted reliability score (0-1)
- **Score**: `0.6 * reliability + 0.4 * (responsiveness / 1000)`

### Scenario 2: Edit Propagation
- **Quality**: Propagated edit quality (0-1)
- **Containment**: Subspace containment score (0-1)
- **Score**: `0.7 * quality + 0.3 * containment`

### Scenario 3: Rank Feedback
- **Efficiency**: `accuracy / flops`
- **Diversity**: Unique rank-language pairs
- **Score**: `0.6 * efficiency * 1e8 + 0.4 * diversity`

### Scenario 4: Ensemble Inference
- **Agreement**: Backend consensus (0-1)
- **Reliability Boost**: Ensemble improvement (0-1)
- **Score**: `0.5 * agreement + 0.5 * reliability_boost`

## 🏆 Badges

- 🏆 **Master Contributor**: 50+ submissions, 10+ languages
- ⚡ **Efficiency Expert**: Efficiency > 1e-7
- 🎯 **Accuracy Champion**: Avg accuracy > 0.95
- 🔬 **Rank Explorer**: Tested 5+ ranks
- 🌍 **Multilingual Specialist**: 8+ languages
- 💪 **Active Contributor**: 20+ submissions
- 📈 **Rising Star**: 10+ submissions
- 🚀 **Getting Started**: First submissions
- 🌟 **Newcomer**: Welcome!

## 📚 Documentation

- **Full Documentation**: [GitHub Repository](https://github.com/NurcholishAdam/Quantum-LIMIT-Graph-v2.4.0-NSN)
- **Contributor Guide**: [CONTRIBUTOR_GUIDE.md](https://github.com/NurcholishAdam/Quantum-LIMIT-Graph-v2.4.0-NSN/blob/main/CONTRIBUTOR_GUIDE.md)
- **API Reference**: [V2.4.0_SCENARIOS_SUMMARY.md](https://github.com/NurcholishAdam/Quantum-LIMIT-Graph-v2.4.0-NSN/blob/main/V2.4.0_SCENARIOS_SUMMARY.md)

## 🤝 Contributing

We welcome contributions! See our [Contributor Guide](https://github.com/your-repo/quantum-limit-graph/blob/main/quantum_integration/nsn_integration/CONTRIBUTOR_GUIDE.md) for details.

### How to Contribute

1. Fork the repository
2. Run experiments using the modules
3. Export your results
4. Submit a pull request
5. See your name on the leaderboard!


## 📝 Citation

```bibtex
@software{nsn_limit_graph_v2_4_0,
  title={Quantum LIMIT-Graph v2.4.0: NSN Integration Dashboard},
  author={AI Research Agent Team},
  year={2025},
  url={https://huggingface.co/spaces/AIResAgTeam/quantum-nsn-integration}
```

## 📧 Contact

- **GitHub**: [Issues](https://github.com/NurcholishAdam/Quantum-LIMIT-Graph-v2.4.0-NSN/issues)
- **Email**: nurcholisadam@gmail.com

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**Built with ❤️ for the quantum computing and multilingual NLP community**