Metadata-Version: 2.1
Name: quantum-scoring-sdk
Version: 0.2.1
Summary: Quantum-native framework for business scoring and optimization
Home-page: UNKNOWN
Author: Jaime Alexander Jimenez Lozano
Author-email: jaimeajl@hotmail.com
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: Other/Proprietary License
Classifier: Operating System :: OS Independent
Classifier: Development Status :: 4 - Beta
Classifier: Topic :: Scientific/Engineering :: Physics
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Requires-Dist: numpy
Requires-Dist: scikit-learn
Requires-Dist: qiskit>=0.45.0
Requires-Dist: qiskit-aer>=0.13.0

﻿# Quantum Scoring SDK

Quantum-native framework for business scoring and optimization with built-in quantum simulator.

## Features
- Hierarchical quantum scoring architecture
- Built-in Qiskit Aer simulator
- Support for IBM Quantum hardware
- No PhD required - business-friendly API
- F1=0.774 demonstrated on real quantum hardware

## Installation
pip install quantum-scoring-sdk

## Basic Usage
from quantum_sdk import Optimizer
opt = Optimizer(api_key='your-license-key')
score = opt.evaluate(data, config)

## License
Proprietary. Contact jaimeajl@hotmail.com for commercial licensing.


