Metadata-Version: 2.4
Name: quantum-anomaly-detection
Version: 0.2.5
Summary: A Python package for quantum-based anomaly detection.
Home-page: https://github.com/MalekAlFakih/SciPy
Author: Mohamed Malek Al Fakih & Abdellah Bichlifen
Author-email: your.email@example.com
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Requires-Dist: numpy
Requires-Dist: qiskit
Requires-Dist: matplotlib
Requires-Dist: jupyter
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary



Quantum Anomaly Detection is a Python package that leverages quantum computing (via Qiskit) to detect anomalies in datasets.


```bash
git clone https://github.com/MalekAlFakih/quantum-anomaly-detection.git
cd quantum-anomaly-detection
pip install -e .
```


```python
from quantum_anomaly_detection import QuantumAnomalyDetector
import numpy as np
data = np.random.rand(10, 2)
detector = QuantumAnomalyDetector()
detector.fit(data)
scores = detector.predict(data)
print("Scores:", scores)
```
