# Entanglement Enhanced NLP 🌌
[](https://pypi.org/project/entanglement-enhanced-nlp/)
[](https://pepy.tech/projects/entanglement-enhanced-nlp)
[](https://pypi.org/project/entanglement-enhanced-nlp/)
[](https://krish567366.github.io/license-server/)
[](https://krish567366.github.io/entanglement-enhanced-nlp/)
A groundbreaking framework that integrates quantum entanglement concepts into Natural Language Processing (NLP) models, enabling more nuanced understanding of semantic relationships, superior context awareness, and highly efficient processing of complex linguistic data.
**Author:** Krishna Bajpai (bajpaikrishna715@gmail.com)
## 🚀 Features
- **EntangledEmbedding**: Custom embedding class modeling entangled word-pairs using shared vector states and non-local attention
- **QuantumContextualizer**: Layer that enhances token embeddings using quantum-state evolution principles
- **Entanglement-aware Transformers**: HuggingFace transformer extensions with entangled attention layers
- **Non-local Correlation Scoring**: Sentence and document-level correlation analysis
- **Quantum Simulator Backend**: Optional numpy/pennylane backend for quantum-like behavior emulation
- **CLI Tool**: `eenlp-cli` for entangled text analysis
- **Visualization**: Token entanglement graphs and correlation heatmaps
- **Export Support**: JSON results and comprehensive reporting
## 🔬 Quantum-Inspired Mechanisms
This framework emulates key quantum mechanical properties in classical NLP:
- **Entanglement**: Non-local correlations between semantically related tokens
- **Superposition**: Probabilistic token states enabling multiple semantic interpretations
- **Decoherence**: Gradual loss of quantum coherence modeling context decay
- **Quantum State Evolution**: Dynamic embedding updates based on quantum evolution principles
## 📦 Installation
```bash
pip install entanglement-enhanced-nlp
```
### Development Installation
```bash
git clone https://github.com/your-repo/entanglement-enhanced-nlp.git
cd entanglement-enhanced-nlp
pip install -e .
```
## 🔧 Quick Start
```python
from entanglement_enhanced_nlp import EntangledEmbedding, QuantumContextualizer
import torch
# Create entangled embeddings
embedder = EntangledEmbedding(
vocab_size=10000,
embedding_dim=768,
entanglement_depth=3,
correlation_strength=0.8
)
# Initialize quantum contextualizer
contextualizer = QuantumContextualizer(
hidden_dim=768,
num_qubits=8,
decoherence_rate=0.1
)
# Process text with quantum-enhanced embeddings
text_ids = torch.tensor([[1, 2, 3, 4, 5]])
entangled_embeddings = embedder(text_ids)
quantum_context = contextualizer(entangled_embeddings)
```
## 🎯 Use Cases
- **Enhanced Semantic Understanding**: Better capture of nuanced word relationships
- **Context-Aware Processing**: Superior long-range dependency modeling
- **Multilingual Applications**: Cross-lingual entanglement for translation tasks
- **Quantum NLP Research**: Testbed for quantum-classical hybrid approaches
- **Advanced Chatbots**: More human-like language comprehension
## 📊 CLI Usage
```bash
# Analyze text file with entanglement scoring
eenlp-cli analyze --input text.txt --output results.json --visualize
# Process dataset with quantum contextualizer
eenlp-cli process --dataset data.csv --model-config config.yaml
# Generate entanglement visualization
eenlp-cli visualize --input results.json --output entanglement_graph.png
```
## 🧪 Examples
Check out the `examples/` directory for comprehensive Jupyter notebooks demonstrating:
- Basic entangled embedding usage
- Quantum contextualizer integration
- HuggingFace transformer extensions
- Visualization and analysis workflows
- Performance benchmarking
## 🔬 Mathematical Foundation
The framework implements quantum-inspired operations:
### Entanglement Correlation
```bash
|ψ⟩ = α|00⟩ + β|11⟩
Correlation(i,j) = ⟨ψᵢ|ψⱼ⟩ · exp(-γ·d(i,j))
```
### Quantum State Evolution
```bash
|ψ(t+1)⟩ = U(θ)|ψ(t)⟩
U(θ) = exp(-iH·θ)
```
### Decoherence Modeling
```bash
ρ(t) = (1-λ)ρ(t-1) + λ·I/d
```
## 🧪 Testing
```bash
pytest tests/ -v
```
## 📄 License
Open to free and commercial use under the [Commercial License](https://krish567366.github.io/license-server/). See LICENSE.md file for details.
## 🤝 Contributing
Contributions welcome! Please read CONTRIBUTING.md for guidelines.
## 📚 Citation
If you use this framework in your research, please cite:
```bibtex
@software{entanglement_enhanced_nlp,
title={Entanglement Enhanced NLP: Quantum-Inspired Natural Language Processing},
author={Krishna Bajpai},
year={2025},
url={https://github.com/your-repo/entanglement-enhanced-nlp}
}
```
## 🌟 Acknowledgments
This work bridges quantum mechanics and NLP, inspired by the potential for quantum-classical hybrid approaches in advancing AI comprehension capabilities.
---
**Note**: This is a classical simulation of quantum-inspired mechanisms designed for research and educational purposes. While it emulates quantum properties, it runs on classical hardware.
Raw data
{
"_id": null,
"home_page": "https://github.com/krish567366/entanglement-enhanced-nlp",
"name": "entanglement-enhanced-nlp",
"maintainer": null,
"docs_url": null,
"requires_python": ">=3.8",
"maintainer_email": null,
"keywords": "nlp, quantum, entanglement, transformers, embeddings, ai",
"author": "Krishna Bajpai",
"author_email": "Krishna Bajpai <bajpaikrishna715@gmail.com>",
"download_url": "https://files.pythonhosted.org/packages/d0/3a/e86b1cd321d976eaa0ab672d610350bc851784475e80a02ae6d9fa2aa2e9/entanglement_enhanced_nlp-2.0.0.tar.gz",
"platform": null,
"description": "# Entanglement Enhanced NLP \ud83c\udf0c\r\n\r\n[](https://pypi.org/project/entanglement-enhanced-nlp/)\r\n[](https://pepy.tech/projects/entanglement-enhanced-nlp)\r\n[](https://pypi.org/project/entanglement-enhanced-nlp/)\r\n[](https://krish567366.github.io/license-server/)\r\n[](https://krish567366.github.io/entanglement-enhanced-nlp/)\r\n\r\nA groundbreaking framework that integrates quantum entanglement concepts into Natural Language Processing (NLP) models, enabling more nuanced understanding of semantic relationships, superior context awareness, and highly efficient processing of complex linguistic data.\r\n\r\n**Author:** Krishna Bajpai (bajpaikrishna715@gmail.com)\r\n\r\n## \ud83d\ude80 Features\r\n\r\n- **EntangledEmbedding**: Custom embedding class modeling entangled word-pairs using shared vector states and non-local attention\r\n- **QuantumContextualizer**: Layer that enhances token embeddings using quantum-state evolution principles\r\n- **Entanglement-aware Transformers**: HuggingFace transformer extensions with entangled attention layers\r\n- **Non-local Correlation Scoring**: Sentence and document-level correlation analysis\r\n- **Quantum Simulator Backend**: Optional numpy/pennylane backend for quantum-like behavior emulation\r\n- **CLI Tool**: `eenlp-cli` for entangled text analysis\r\n- **Visualization**: Token entanglement graphs and correlation heatmaps\r\n- **Export Support**: JSON results and comprehensive reporting\r\n\r\n## \ud83d\udd2c Quantum-Inspired Mechanisms\r\n\r\nThis framework emulates key quantum mechanical properties in classical NLP:\r\n\r\n- **Entanglement**: Non-local correlations between semantically related tokens\r\n- **Superposition**: Probabilistic token states enabling multiple semantic interpretations\r\n- **Decoherence**: Gradual loss of quantum coherence modeling context decay\r\n- **Quantum State Evolution**: Dynamic embedding updates based on quantum evolution principles\r\n\r\n## \ud83d\udce6 Installation\r\n\r\n```bash\r\npip install entanglement-enhanced-nlp\r\n```\r\n\r\n### Development Installation\r\n\r\n```bash\r\ngit clone https://github.com/your-repo/entanglement-enhanced-nlp.git\r\ncd entanglement-enhanced-nlp\r\npip install -e .\r\n```\r\n\r\n## \ud83d\udd27 Quick Start\r\n\r\n```python\r\nfrom entanglement_enhanced_nlp import EntangledEmbedding, QuantumContextualizer\r\nimport torch\r\n\r\n# Create entangled embeddings\r\nembedder = EntangledEmbedding(\r\n vocab_size=10000,\r\n embedding_dim=768,\r\n entanglement_depth=3,\r\n correlation_strength=0.8\r\n)\r\n\r\n# Initialize quantum contextualizer\r\ncontextualizer = QuantumContextualizer(\r\n hidden_dim=768,\r\n num_qubits=8,\r\n decoherence_rate=0.1\r\n)\r\n\r\n# Process text with quantum-enhanced embeddings\r\ntext_ids = torch.tensor([[1, 2, 3, 4, 5]])\r\nentangled_embeddings = embedder(text_ids)\r\nquantum_context = contextualizer(entangled_embeddings)\r\n```\r\n\r\n## \ud83c\udfaf Use Cases\r\n\r\n- **Enhanced Semantic Understanding**: Better capture of nuanced word relationships\r\n- **Context-Aware Processing**: Superior long-range dependency modeling\r\n- **Multilingual Applications**: Cross-lingual entanglement for translation tasks\r\n- **Quantum NLP Research**: Testbed for quantum-classical hybrid approaches\r\n- **Advanced Chatbots**: More human-like language comprehension\r\n\r\n## \ud83d\udcca CLI Usage\r\n\r\n```bash\r\n# Analyze text file with entanglement scoring\r\neenlp-cli analyze --input text.txt --output results.json --visualize\r\n\r\n# Process dataset with quantum contextualizer\r\neenlp-cli process --dataset data.csv --model-config config.yaml\r\n\r\n# Generate entanglement visualization\r\neenlp-cli visualize --input results.json --output entanglement_graph.png\r\n```\r\n\r\n## \ud83e\uddea Examples\r\n\r\nCheck out the `examples/` directory for comprehensive Jupyter notebooks demonstrating:\r\n\r\n- Basic entangled embedding usage\r\n- Quantum contextualizer integration\r\n- HuggingFace transformer extensions\r\n- Visualization and analysis workflows\r\n- Performance benchmarking\r\n\r\n## \ud83d\udd2c Mathematical Foundation\r\n\r\nThe framework implements quantum-inspired operations:\r\n\r\n### Entanglement Correlation\r\n\r\n```bash\r\n|\u03c8\u27e9 = \u03b1|00\u27e9 + \u03b2|11\u27e9\r\nCorrelation(i,j) = \u27e8\u03c8\u1d62|\u03c8\u2c7c\u27e9 \u00b7 exp(-\u03b3\u00b7d(i,j))\r\n```\r\n\r\n### Quantum State Evolution\r\n\r\n```bash\r\n|\u03c8(t+1)\u27e9 = U(\u03b8)|\u03c8(t)\u27e9\r\nU(\u03b8) = exp(-iH\u00b7\u03b8)\r\n```\r\n\r\n### Decoherence Modeling\r\n\r\n```bash\r\n\u03c1(t) = (1-\u03bb)\u03c1(t-1) + \u03bb\u00b7I/d\r\n```\r\n\r\n## \ud83e\uddea Testing\r\n\r\n```bash\r\npytest tests/ -v\r\n```\r\n\r\n## \ud83d\udcc4 License\r\n\r\nOpen to free and commercial use under the [Commercial License](https://krish567366.github.io/license-server/). See LICENSE.md file for details.\r\n\r\n## \ud83e\udd1d Contributing\r\n\r\nContributions welcome! Please read CONTRIBUTING.md for guidelines.\r\n\r\n## \ud83d\udcda Citation\r\n\r\nIf you use this framework in your research, please cite:\r\n\r\n```bibtex\r\n@software{entanglement_enhanced_nlp,\r\n title={Entanglement Enhanced NLP: Quantum-Inspired Natural Language Processing},\r\n author={Krishna Bajpai},\r\n year={2025},\r\n url={https://github.com/your-repo/entanglement-enhanced-nlp}\r\n}\r\n```\r\n\r\n## \ud83c\udf1f Acknowledgments\r\n\r\nThis work bridges quantum mechanics and NLP, inspired by the potential for quantum-classical hybrid approaches in advancing AI comprehension capabilities.\r\n\r\n---\r\n\r\n**Note**: This is a classical simulation of quantum-inspired mechanisms designed for research and educational purposes. While it emulates quantum properties, it runs on classical hardware.\r\n",
"bugtrack_url": null,
"license": "Commercial",
"summary": "Quantum entanglement-inspired Natural Language Processing framework",
"version": "2.0.0",
"project_urls": {
"Bug Tracker": "https://github.com/krish567366/entanglement-enhanced-nlp/issues",
"Documentation": "https://krish567366.github.io/entanglement-enhanced-nlp/",
"Homepage": "https://github.com/krish567366/entanglement-enhanced-nlp",
"Repository": "https://github.com/krish567366/entanglement-enhanced-nlp.git"
},
"split_keywords": [
"nlp",
" quantum",
" entanglement",
" transformers",
" embeddings",
" ai"
],
"urls": [
{
"comment_text": null,
"digests": {
"blake2b_256": "91fa15d4ce8aea5b6cde7c8d785f8c47dd40be899d6ec450c9eea0f024674a0e",
"md5": "e1c37728830cec8c487409c110ade3ac",
"sha256": "46a651ccae196dc94390d6acb4d8e4bc4d6dfc8d9d306dad238cacf839a9fe18"
},
"downloads": -1,
"filename": "entanglement_enhanced_nlp-2.0.0-py3-none-any.whl",
"has_sig": false,
"md5_digest": "e1c37728830cec8c487409c110ade3ac",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.8",
"size": 51956,
"upload_time": "2025-07-16T04:29:37",
"upload_time_iso_8601": "2025-07-16T04:29:37.901790Z",
"url": "https://files.pythonhosted.org/packages/91/fa/15d4ce8aea5b6cde7c8d785f8c47dd40be899d6ec450c9eea0f024674a0e/entanglement_enhanced_nlp-2.0.0-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": null,
"digests": {
"blake2b_256": "d03ae86b1cd321d976eaa0ab672d610350bc851784475e80a02ae6d9fa2aa2e9",
"md5": "be6098a473d133f59128740139b44a63",
"sha256": "6fc3aac89b65e32072642c5524677c11b460c6f26c0b9c728cb0196a776f3527"
},
"downloads": -1,
"filename": "entanglement_enhanced_nlp-2.0.0.tar.gz",
"has_sig": false,
"md5_digest": "be6098a473d133f59128740139b44a63",
"packagetype": "sdist",
"python_version": "source",
"requires_python": ">=3.8",
"size": 51047,
"upload_time": "2025-07-16T04:29:41",
"upload_time_iso_8601": "2025-07-16T04:29:41.202601Z",
"url": "https://files.pythonhosted.org/packages/d0/3a/e86b1cd321d976eaa0ab672d610350bc851784475e80a02ae6d9fa2aa2e9/entanglement_enhanced_nlp-2.0.0.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2025-07-16 04:29:41",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "krish567366",
"github_project": "entanglement-enhanced-nlp",
"travis_ci": false,
"coveralls": false,
"github_actions": false,
"requirements": [
{
"name": "torch",
"specs": [
[
">=",
"1.9.0"
]
]
},
{
"name": "transformers",
"specs": [
[
">=",
"4.20.0"
]
]
},
{
"name": "numpy",
"specs": [
[
">=",
"1.21.0"
]
]
},
{
"name": "scipy",
"specs": [
[
">=",
"1.7.0"
]
]
},
{
"name": "pandas",
"specs": [
[
">=",
"1.3.0"
]
]
},
{
"name": "matplotlib",
"specs": [
[
">=",
"3.4.0"
]
]
},
{
"name": "seaborn",
"specs": [
[
">=",
"0.11.0"
]
]
},
{
"name": "networkx",
"specs": [
[
">=",
"2.6.0"
]
]
},
{
"name": "plotly",
"specs": [
[
">=",
"5.0.0"
]
]
},
{
"name": "click",
"specs": [
[
">=",
"8.0.0"
]
]
},
{
"name": "tqdm",
"specs": [
[
">=",
"4.62.0"
]
]
},
{
"name": "pyyaml",
"specs": [
[
">=",
"6.0"
]
]
},
{
"name": "scikit-learn",
"specs": [
[
">=",
"1.0.0"
]
]
},
{
"name": "pennylane",
"specs": [
[
">=",
"0.28.0"
]
]
},
{
"name": "quantummeta-license",
"specs": [
[
">=",
"1.0.0"
]
]
}
],
"lcname": "entanglement-enhanced-nlp"
}
JSON
