A Python package for quantum-based anomaly detection.
Project description
Quantum Anomaly Detection
Quantum Anomaly Detection is a Python package that leverages quantum computing (via Qiskit) to detect anomalies in datasets.
Installation
git clone https://github.com/MalekAlFakih/quantum-anomaly-detection.git
cd quantum-anomaly-detection
pip install -e .
Usage
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)
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file quantum_anomaly_detection-0.1.2.tar.gz.
File metadata
- Download URL: quantum_anomaly_detection-0.1.2.tar.gz
- Upload date:
- Size: 2.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
6ff19cf16c0452427774c81212b566ece99ae2074c40479a6086767c96158b67
|
|
| MD5 |
fa20a826937773578d968fa795a8394b
|
|
| BLAKE2b-256 |
afbe4892533a475d1f2307b6abe9c7c6f692363b47fbdfb177fab9b0f320ab7f
|
File details
Details for the file quantum_anomaly_detection-0.1.2-py3-none-any.whl.
File metadata
- Download URL: quantum_anomaly_detection-0.1.2-py3-none-any.whl
- Upload date:
- Size: 3.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
2e123d806a10fce7ced088c7557a91fa44dff385cf5f145c64824ec601116269
|
|
| MD5 |
d894d0f58deb39a87ecf1612e19b05e1
|
|
| BLAKE2b-256 |
b9d347ee5f63bc284d08161949eba363efb90979fbf2e82465c7848d5d9e1d60
|