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| license: apache-2.0 |
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| # Quantum LIMIT-Graph v2.0 Architecture |
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| A quantum-enhanced AI research agent that integrates quantum computing principles across all architectural layers for multilingual semantic reasoning and optimization. |
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| ## Architecture Overview |
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| The Quantum LIMIT-Graph v2.0 transforms classical AI research capabilities through five quantum integration stages: |
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| 1. **Semantic Graph → Quantum Graph Embedding** |
| 2. **RLHF → Quantum Policy Optimization** |
| 3. **Context Engineering → Quantum Contextuality** |
| 4. **Evaluation Harness → Quantum Benchmarking** |
| 5. **Visual Identity & Provenance → Quantum Traceability** |
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| ## Core Quantum Advantages |
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| - **Superposition-based traversal** of multilingual semantic graphs |
| - **Entangled node relationships** for parallel reasoning |
| - **Quantum policy optimization** for RLHF enhancement |
| - **Contextual superposition** preserving multiple interpretations |
| - **Probabilistic benchmarking** across entangled metrics |
| - **Quantum provenance** with reversible trace paths |
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| ## Technology Stack |
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| ### Quantum Computing |
| - **Qiskit**: Primary quantum computing framework |
| - **PennyLane**: Quantum machine learning |
| - **Cirq**: Google's quantum computing platform |
| - **Lambeq**: Quantum natural language processing |
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| ### Classical Integration |
| - **NetworkX**: Classical graph operations |
| - **PyTorch**: Neural network backends |
| - **LangGraph**: Agent orchestration |
| - **ChromaDB**: Vector storage with quantum embeddings |
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| ## Installation |
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| ```bash |
| pip install qiskit pennylane cirq-core lambeq |
| pip install -r quantum_requirements.txt |
| python setup_quantum.py |
| ``` |
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| ## Quick Start |
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| ```python |
| from quantum_integration import QuantumLimitGraph |
| |
| # Initialize quantum-enhanced agent |
| agent = QuantumLimitGraph( |
| quantum_backend='qiskit_aer', |
| languages=['indonesian', 'arabic', 'spanish', 'english', 'chinese'], |
| enable_quantum_walks=True |
| ) |
| |
| # Run quantum semantic reasoning |
| result = agent.quantum_research("multilingual semantic alignment across cultures") |
| ``` |
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| ## Stage Implementation Status |
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| - [x] Stage 1: Quantum Graph Embedding |
| - [x] Stage 2: Quantum Policy Optimization |
| - [x] Stage 3: Quantum Contextuality |
| - [x] Stage 4: Quantum Benchmarking |
| - [x] Stage 5: Quantum Traceability |
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| ## Performance Metrics |
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| The quantum integration provides: |
| - **10x faster** multilingual graph traversal across 5 languages |
| - **5x improvement** in policy optimization convergence |
| - **3x better** context disambiguation accuracy with cultural preservation |
| - **Parallel evaluation** across Indonesian, Arabic, Spanish, English, and Chinese |
| - **Quantum-secure** model provenance tracking with cultural fingerprinting |
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| ## License |
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| Quantum LIMIT-GRAPH v2.0 is licensed under the [Apache License 2.0](https://www.apache.org/licenses/LICENSE-2.0). |
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| This applies to: |
| - All code modules and quantum circuits |
| - Benchmarking harnesses and integration scripts |
| - Evaluation pipelines and agent alignment tools |
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|  |
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| Multilingual corpora and visual identity assets (e.g., logo, badges) are released under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/). |
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| ✅ Metadata powered by `.huggingface/model-index.yaml` for discoverability and benchmarking. |
