README.md

metadata

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

# 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
• Contributor Guide: CONTRIBUTOR_GUIDE.md
• API Reference: V2.4.0_SCENARIOS_SUMMARY.md

🤝 Contributing

We welcome contributions! See our Contributor Guide 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

@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
• Email: nurcholisadam@gmail.com

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