Quantum LIMIT-GRAPH v2.5.0-L3
Level 3 Adaptive Quantum Intelligence Platform
π― Core Objectives
v2.5.0-L3 (Level 3 Maturity) - Adaptive Quantum Intelligence:
- Quantum Transformers: Adaptive reasoning with entangled shard propagation
- Meta-Cognitive RL: Personalized contributor feedback and learning paths
- Multimodal Perception: Text + Image + Scientific data processing
- Adaptive Optimization: Intelligent fault-aware backend orchestration
- Entangled Memory: Complete edit lineage tracking and provenance
- Domain Modules: Specialized validation for legal, medical, scientific domains
v2.4.0-NSN (Maintained) - Backend Benchmarking:
- Backend Benchmarking: Compare Russian vs IBM quantum backends
- QEC Integration: Quantum Error Correction for hallucination resilience
- Performance Visualization: Interactive dashboards
- Hugging Face Integration: Deploy demos and models
β¨ Key Features
π¬ Backend Comparison
- Russian quantum compiler vs IBM Quantum benchmarking
- Multilingual edit reliability metrics (13+ languages)
- Domain-specific performance analysis
- Real-time leaderboard generation
π‘οΈ Quantum Error Correction (QEC)
- Surface code integration for REPAIR edits
- Stabilizer-based hallucination detection
- Syndrome extraction and correction
- QEC-enhanced validation pipeline
π Visualization Suite
- Edit trace visualization with correction paths
- Backend performance heatmaps
- Language-domain correlation matrices
- Interactive Plotly dashboards
π€ Hugging Face Integration
- Spaces: Interactive demo notebooks
- Models: Quantum modules with multilingual tags
- Datasets: Backend-specific edit logs and traces
π Quick Start
Level 3 Agent (v2.5.0-L3)
# Install dependencies
pip install -r requirements.txt
pip install qiskit qiskit-aer
# Run Level 3 demo
python level_3_agent.py
# Run tests
pytest tests/test_level3_maturity.py -v
# Python usage
from level_3_agent import Level3Agent, Level3Config
agent = Level3Agent(Level3Config())
result = agent.process_edit(
edit_content="Your edit text",
language="english",
rank=128,
domain="legal"
)
v2.4.0-NSN Features (Maintained)
# 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
π See LEVEL_3_QUICK_START.md for detailed guide
π 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
π Contributor Challenge
Challenge Format
Goal: Improve backend performance or add new QEC codes
Tracks:
- Backend Optimization: Improve Russian/IBM backend performance
- QEC Innovation: Implement new error correction codes
- Visualization: Create new performance dashboards
- Multilingual: Add support for new languages
π Repository Structure
quantum-limit-graph-v2.4.0/
βββ src/
β βββ evaluation/
β β βββ quantum_backend_comparison.py
β β βββ leaderboard_generator.py
β βββ agent/
β β βββ repair_qec_extension.py
β β βββ backend_selector.py
β βββ visualization/
β βββ edit_trace_visualizer.py
βββ configs/
β βββ backend_config.yaml
βββ data/
β βββ multilingual_edit_logs/
βββ notebooks/
β βββ backend_comparison_demo.ipynb
βββ tests/
β βββ test_backend_comparison.py
β βββ test_qec_integration.py
β βββ test_visualization.py
βββ huggingface/
β βββ spaces/
β βββ model_cards/
β βββ dataset_cards/
βββ scripts/
βββ deploy_to_hf.py
π Links
- Hugging Face Space: quantum-limit-graph-v2.4.0-NSN-level-3-Maturity
- Model Hub: Quantum Modules
- Datasets: Edit Logs & Traces
- Documentation: Full Docs
π License
CC BY-NC-SA 4.0 License - See LICENSE for details
π 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 27, 2025
Status: β
Production Ready
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