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---
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title: NSN Integration Dashboard
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emoji: π
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colorFrom: blue
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colorTo: purple
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sdk: gradio
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sdk_version: 4.0.0
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app_file: app.py
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pinned: false
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license: mit
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---
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# Quantum LIMIT-Graph v2.4.0: NSN Integration Dashboard
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Interactive dashboard for contributor challenges in Nested Subspace Networks (NSN) integration with quantum backends.
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## π― Features
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### Panel 1: Backend Telemetry Rank Adaptation
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- **Function**: Adjust NSN rank based on backend health metrics
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- **Visualization**: Line chart of rank vs reliability across backend states
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- **Contributor Task**: Submit edits optimized for dynamic rank shifts
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- **Metric**: Responsiveness vs reliability trade-off
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### Panel 2: Multilingual Accuracy Heatmap
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- **Function**: Track accuracy across languages and ranks
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- **Visualization**: Heatmap showing performance matrix
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- **Contributor Task**: Optimize edits for multilingual scenarios
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- **Metric**: Average accuracy across language-rank pairs
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### Panel 3: Cross-Lingual Edit Propagation
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- **Function**: Transfer edits from high-resource to low-resource languages
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- **Visualization**: Containment heatmap with flow arrows
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- **Contributor Task**: Submit propagation strategies
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- **Metric**: Quality score of propagated edits
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### Panel 4: Pareto Frontier
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- **Function**: Visualize efficiency vs expressiveness trade-offs
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- **Visualization**: Scatter plot with Pareto frontier
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- **Contributor Task**: Optimize for compute-performance balance
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- **Metric**: Position on Pareto frontier
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### Panel 5: Contributor Leaderboard
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- **Function**: Track contributor performance and provide feedback
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- **Visualization**: Leaderboard table + personalized feedback
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- **Contributor Task**: Submit edits across ranks and languages
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- **Metric**: Efficiency badge (accuracy/FLOPs)
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### Panel 6: Ensemble Inference
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- **Function**: Run edits across multiple quantum backends
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- **Visualization**: Agreement matrix heatmap
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- **Contributor Task**: Submit ensemble edits
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- **Metric**: Agreement score + reliability boost
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## π Quick Start
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### Using the Dashboard
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1. **Select a Panel**: Choose from the 6 tabs
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2. **Configure Parameters**: Adjust backends, languages, ranks
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3. **Generate Visualizations**: Click the refresh button
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4. **Analyze Results**: Review metrics and insights
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5. **Submit Contributions**: Export your results
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### Example Workflow
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```python
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# 1. Test backend adaptation
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backend = 'ibm_washington'
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# View FLOPs vs Reliability chart
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# 2. Analyze multilingual performance
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languages = ['english', 'chinese', 'indonesian']
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# View accuracy heatmap
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# 3. Test edit propagation
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source = 'english'
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target = 'indonesian'
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rank = 128
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# View containment scores
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# 4. Check your position on Pareto frontier
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# Submit your data and see your ranking
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# 5. Get personalized feedback
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contributor_id = 'your_id'
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# View recommendations and badges
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# 6. Run ensemble inference
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backends = ['ibm_manila', 'ibm_washington', 'russian_simulator']
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# View agreement matrix
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```
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## π Leaderboard Metrics
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### Scenario 1: Telemetry Adaptation
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- **Responsiveness**: Adaptation speed (higher is better)
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- **Reliability**: Predicted reliability score (0-1)
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- **Score**: `0.6 * reliability + 0.4 * (responsiveness / 1000)`
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### Scenario 2: Edit Propagation
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- **Quality**: Propagated edit quality (0-1)
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- **Containment**: Subspace containment score (0-1)
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- **Score**: `0.7 * quality + 0.3 * containment`
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### Scenario 3: Rank Feedback
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- **Efficiency**: `accuracy / flops`
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- **Diversity**: Unique rank-language pairs
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- **Score**: `0.6 * efficiency * 1e8 + 0.4 * diversity`
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### Scenario 4: Ensemble Inference
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- **Agreement**: Backend consensus (0-1)
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- **Reliability Boost**: Ensemble improvement (0-1)
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- **Score**: `0.5 * agreement + 0.5 * reliability_boost`
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## π Badges
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- π **Master Contributor**: 50+ submissions, 10+ languages
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- β‘ **Efficiency Expert**: Efficiency > 1e-7
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- π― **Accuracy Champion**: Avg accuracy > 0.95
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- π¬ **Rank Explorer**: Tested 5+ ranks
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- π **Multilingual Specialist**: 8+ languages
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- πͺ **Active Contributor**: 20+ submissions
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- π **Rising Star**: 10+ submissions
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- π **Getting Started**: First submissions
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- π **Newcomer**: Welcome!
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## π Documentation
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- **Full Documentation**: [GitHub Repository](https://github.com/your-repo/quantum-limit-graph)
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- **Contributor Guide**: [CONTRIBUTOR_GUIDE.md](https://github.com/your-repo/quantum-limit-graph/blob/main/quantum_integration/nsn_integration/CONTRIBUTOR_GUIDE.md)
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- **API Reference**: [V2.4.0_SCENARIOS_SUMMARY.md](https://github.com/your-repo/quantum-limit-graph/blob/main/quantum_integration/nsn_integration/V2.4.0_SCENARIOS_SUMMARY.md)
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## π€ Contributing
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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.
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### How to Contribute
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1. Fork the repository
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2. Run experiments using the modules
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3. Export your results
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4. Submit a pull request
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5. See your name on the leaderboard!
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url={https://huggingface.co/spaces/your-org/nsn-integration-dashboard}
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}
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```
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## π§ Contact
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- **GitHub**: [Issues](https://github.com/your-repo/quantum-limit-graph/issues)
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- **Discord**: [Join Server](https://discord.gg/quantum-limit-graph)
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- **Email**: nurcholisadam@gmail.com
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---
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**Built with β€οΈ for the quantum computing and multilingual NLP community**
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---
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title: NSN Integration Dashboard
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emoji: π
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colorFrom: blue
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colorTo: purple
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sdk: gradio
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sdk_version: 4.0.0
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app_file: app.py
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pinned: false
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license: mit
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---
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+
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# Quantum LIMIT-Graph v2.4.0: NSN Integration Dashboard
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| 14 |
+
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| 15 |
+
Interactive dashboard for contributor challenges in Nested Subspace Networks (NSN) integration with quantum backends.
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+
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+
## π― Features
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+
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+
### Panel 1: Backend Telemetry Rank Adaptation
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| 20 |
+
- **Function**: Adjust NSN rank based on backend health metrics
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| 21 |
+
- **Visualization**: Line chart of rank vs reliability across backend states
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| 22 |
+
- **Contributor Task**: Submit edits optimized for dynamic rank shifts
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| 23 |
+
- **Metric**: Responsiveness vs reliability trade-off
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| 24 |
+
|
| 25 |
+
### Panel 2: Multilingual Accuracy Heatmap
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| 26 |
+
- **Function**: Track accuracy across languages and ranks
|
| 27 |
+
- **Visualization**: Heatmap showing performance matrix
|
| 28 |
+
- **Contributor Task**: Optimize edits for multilingual scenarios
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+
- **Metric**: Average accuracy across language-rank pairs
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| 30 |
+
|
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+
### Panel 3: Cross-Lingual Edit Propagation
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| 32 |
+
- **Function**: Transfer edits from high-resource to low-resource languages
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| 33 |
+
- **Visualization**: Containment heatmap with flow arrows
|
| 34 |
+
- **Contributor Task**: Submit propagation strategies
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| 35 |
+
- **Metric**: Quality score of propagated edits
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| 36 |
+
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+
### Panel 4: Pareto Frontier
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+
- **Function**: Visualize efficiency vs expressiveness trade-offs
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| 39 |
+
- **Visualization**: Scatter plot with Pareto frontier
|
| 40 |
+
- **Contributor Task**: Optimize for compute-performance balance
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+
- **Metric**: Position on Pareto frontier
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+
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+
### Panel 5: Contributor Leaderboard
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+
- **Function**: Track contributor performance and provide feedback
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+
- **Visualization**: Leaderboard table + personalized feedback
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+
- **Contributor Task**: Submit edits across ranks and languages
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+
- **Metric**: Efficiency badge (accuracy/FLOPs)
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+
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### Panel 6: Ensemble Inference
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- **Function**: Run edits across multiple quantum backends
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- **Visualization**: Agreement matrix heatmap
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+
- **Contributor Task**: Submit ensemble edits
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+
- **Metric**: Agreement score + reliability boost
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+
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## π Quick Start
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+
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### Using the Dashboard
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+
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1. **Select a Panel**: Choose from the 6 tabs
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| 60 |
+
2. **Configure Parameters**: Adjust backends, languages, ranks
|
| 61 |
+
3. **Generate Visualizations**: Click the refresh button
|
| 62 |
+
4. **Analyze Results**: Review metrics and insights
|
| 63 |
+
5. **Submit Contributions**: Export your results
|
| 64 |
+
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+
### Example Workflow
|
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+
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```python
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# 1. Test backend adaptation
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backend = 'ibm_washington'
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# View FLOPs vs Reliability chart
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+
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# 2. Analyze multilingual performance
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languages = ['english', 'chinese', 'indonesian']
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# View accuracy heatmap
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+
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# 3. Test edit propagation
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source = 'english'
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target = 'indonesian'
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rank = 128
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# View containment scores
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# 4. Check your position on Pareto frontier
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# Submit your data and see your ranking
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+
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# 5. Get personalized feedback
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contributor_id = 'your_id'
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# View recommendations and badges
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+
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# 6. Run ensemble inference
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backends = ['ibm_manila', 'ibm_washington', 'russian_simulator']
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# View agreement matrix
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```
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## π Leaderboard Metrics
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+
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+
### Scenario 1: Telemetry Adaptation
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| 97 |
+
- **Responsiveness**: Adaptation speed (higher is better)
|
| 98 |
+
- **Reliability**: Predicted reliability score (0-1)
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| 99 |
+
- **Score**: `0.6 * reliability + 0.4 * (responsiveness / 1000)`
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| 100 |
+
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+
### Scenario 2: Edit Propagation
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+
- **Quality**: Propagated edit quality (0-1)
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+
- **Containment**: Subspace containment score (0-1)
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+
- **Score**: `0.7 * quality + 0.3 * containment`
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+
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### Scenario 3: Rank Feedback
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+
- **Efficiency**: `accuracy / flops`
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+
- **Diversity**: Unique rank-language pairs
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+
- **Score**: `0.6 * efficiency * 1e8 + 0.4 * diversity`
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+
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+
### Scenario 4: Ensemble Inference
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+
- **Agreement**: Backend consensus (0-1)
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+
- **Reliability Boost**: Ensemble improvement (0-1)
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- **Score**: `0.5 * agreement + 0.5 * reliability_boost`
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+
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## π Badges
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+
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+
- π **Master Contributor**: 50+ submissions, 10+ languages
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| 119 |
+
- β‘ **Efficiency Expert**: Efficiency > 1e-7
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| 120 |
+
- π― **Accuracy Champion**: Avg accuracy > 0.95
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+
- π¬ **Rank Explorer**: Tested 5+ ranks
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+
- π **Multilingual Specialist**: 8+ languages
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+
- πͺ **Active Contributor**: 20+ submissions
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+
- π **Rising Star**: 10+ submissions
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+
- π **Getting Started**: First submissions
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| 126 |
+
- π **Newcomer**: Welcome!
|
| 127 |
+
|
| 128 |
+
## π Documentation
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| 129 |
+
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| 130 |
+
- **Full Documentation**: [GitHub Repository](https://github.com/your-repo/quantum-limit-graph)
|
| 131 |
+
- **Contributor Guide**: [CONTRIBUTOR_GUIDE.md](https://github.com/your-repo/quantum-limit-graph/blob/main/quantum_integration/nsn_integration/CONTRIBUTOR_GUIDE.md)
|
| 132 |
+
- **API Reference**: [V2.4.0_SCENARIOS_SUMMARY.md](https://github.com/your-repo/quantum-limit-graph/blob/main/quantum_integration/nsn_integration/V2.4.0_SCENARIOS_SUMMARY.md)
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+
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## π€ Contributing
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| 135 |
+
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+
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.
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+
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### How to Contribute
|
| 139 |
+
|
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+
1. Fork the repository
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| 141 |
+
2. Run experiments using the modules
|
| 142 |
+
3. Export your results
|
| 143 |
+
4. Submit a pull request
|
| 144 |
+
5. See your name on the leaderboard!
|
| 145 |
+
|
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+
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## π Citation
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```bibtex
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@software{nsn_limit_graph_v2_4_0,
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title={Quantum LIMIT-Graph v2.4.0: NSN Integration Dashboard},
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author={AI Research Agent Team},
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year={2025},
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url={https://huggingface.co/spaces/AIResAgTeam/quantum-nsn-integration}
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```
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## π§ Contact
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- **GitHub**: [Issues](https://github.com/NurcholishAdam/Quantum-LIMIT-Graph-v2.4.0-NSN/issues)
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- **Email**: nurcholisadam@gmail.com
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---
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**Built with β€οΈ for the quantum computing and multilingual NLP community**
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