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517f71b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 | # NSN Integration Quick Start Guide
Get started with NSN integration in 5 minutes!
## Installation
No additional dependencies required. The NSN integration uses existing quantum_integration packages.
## Quick Examples
### 1. Backend-Aware Rank Selection (30 seconds)
```python
from quantum_integration.nsn_integration import BackendAwareRankSelector, BackendType
selector = BackendAwareRankSelector()
recommendation = selector.get_rank_recommendation(
backend_type=BackendType.IBM_WASHINGTON,
compute_budget=1e8,
min_reliability=0.85
)
print(f"Recommended Rank: {recommendation['recommended_rank']}")
print(f"Rationale: {recommendation['rationale']}")
```
### 2. Multilingual Evaluation (1 minute)
```python
from quantum_integration.nsn_integration import MultilingualNSNEvaluator
evaluator = MultilingualNSNEvaluator()
result = evaluator.evaluate_language_edit('indonesian', rank=64)
print(f"Accuracy: {result.edit_accuracy:.3f}")
print(f"Uncertainty: {result.uncertainty:.3f}")
```
### 3. Contributor Challenge (2 minutes)
```python
from quantum_integration.nsn_integration import NSNLeaderboard
leaderboard = NSNLeaderboard()
challenge = leaderboard.create_challenge(
challenge_id="my_challenge",
title="My First Challenge",
description="Test multilingual editing",
languages=['english', 'chinese']
)
# Submit edit
rank_results = {
32: {'accuracy': 0.88, 'uncertainty': 0.12, 'flops': 1e7, 'efficiency': 0.009}
}
submission = leaderboard.submit_edit(
challenge_id="my_challenge",
contributor_id="me",
language="english",
edit_description="My edit",
rank_results=rank_results
)
rankings = leaderboard.get_leaderboard("my_challenge")
print(f"Position: {rankings[0]['position']}")
```
## Run Complete Demo
```bash
python quantum_integration/nsn_integration/demo_complete_nsn_integration.py
```
## Run Tests
```bash
python quantum_integration/nsn_integration/test_nsn_integration.py
```
## Next Steps
- Read the full [README.md](README.md) for detailed documentation
- Explore visualization with NSNDashboard
- Integrate with LIMIT-Graph benchmarking
- Submit to contributor challenges
## Support
Check the README.md or open an issue for help!
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