Quantum LIMIT-GRAPH v2.5.0-L3

Level 3 Adaptive Quantum Intelligence Platform

License: CC BY-NC-SA 4.0 Python Maturity Hugging Face

🎯 Core Objectives

v2.5.0-L3 (Level 3 Maturity) - Adaptive Quantum Intelligence:

  1. Quantum Transformers: Adaptive reasoning with entangled shard propagation
  2. Meta-Cognitive RL: Personalized contributor feedback and learning paths
  3. Multimodal Perception: Text + Image + Scientific data processing
  4. Adaptive Optimization: Intelligent fault-aware backend orchestration
  5. Entangled Memory: Complete edit lineage tracking and provenance
  6. Domain Modules: Specialized validation for legal, medical, scientific domains

v2.4.0-NSN (Maintained) - Backend Benchmarking:

  1. Backend Benchmarking: Compare Russian vs IBM quantum backends
  2. QEC Integration: Quantum Error Correction for hallucination resilience
  3. Performance Visualization: Interactive dashboards
  4. Hugging Face Integration: Deploy demos and models

✨ Key Features

πŸ”¬ Backend Comparison

  • Russian quantum compiler vs IBM Quantum benchmarking
  • Multilingual edit reliability metrics (13+ languages)
  • Domain-specific performance analysis
  • Real-time leaderboard generation

πŸ›‘οΈ Quantum Error Correction (QEC)

  • Surface code integration for REPAIR edits
  • Stabilizer-based hallucination detection
  • Syndrome extraction and correction
  • QEC-enhanced validation pipeline

πŸ“Š Visualization Suite

  • Edit trace visualization with correction paths
  • Backend performance heatmaps
  • Language-domain correlation matrices
  • Interactive Plotly dashboards

πŸ€— Hugging Face Integration

  • Spaces: Interactive demo notebooks
  • Models: Quantum modules with multilingual tags
  • Datasets: Backend-specific edit logs and traces

πŸš€ 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

πŸ“– See LEVEL_3_QUICK_START.md for detailed guide

πŸ“Š 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

πŸ† Contributor Challenge

Challenge Format

Goal: Improve backend performance or add new QEC codes

Tracks:

  1. Backend Optimization: Improve Russian/IBM backend performance
  2. QEC Innovation: Implement new error correction codes
  3. Visualization: Create new performance dashboards
  4. Multilingual: Add support for new languages

πŸ“ Repository Structure

quantum-limit-graph-v2.4.0/
β”œβ”€β”€ src/
β”‚   β”œβ”€β”€ evaluation/
β”‚   β”‚   β”œβ”€β”€ quantum_backend_comparison.py
β”‚   β”‚   └── leaderboard_generator.py
β”‚   β”œβ”€β”€ agent/
β”‚   β”‚   β”œβ”€β”€ repair_qec_extension.py
β”‚   β”‚   └── backend_selector.py
β”‚   └── visualization/
β”‚       └── edit_trace_visualizer.py
β”œβ”€β”€ configs/
β”‚   └── backend_config.yaml
β”œβ”€β”€ data/
β”‚   └── multilingual_edit_logs/
β”œβ”€β”€ notebooks/
β”‚   └── backend_comparison_demo.ipynb
β”œβ”€β”€ tests/
β”‚   β”œβ”€β”€ test_backend_comparison.py
β”‚   β”œβ”€β”€ test_qec_integration.py
β”‚   └── test_visualization.py
β”œβ”€β”€ huggingface/
β”‚   β”œβ”€β”€ spaces/
β”‚   β”œβ”€β”€ model_cards/
β”‚   └── dataset_cards/
└── scripts/
    └── deploy_to_hf.py

πŸ”— Links

πŸ“„ License

CC BY-NC-SA 4.0 License - See LICENSE for details

πŸ™ 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: βœ… Production Ready

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