Metadata-Version: 2.4
Name: quantum-scoring-sdk
Version: 0.3.4
Summary: Quantum-native framework with IBM Quantum hardware support and enterprise license control
Author: Jaime Alexander Jimenez Lozano
Author-email: jaimeajl@hotmail.com
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
Requires-Dist: requests
Provides-Extra: ibm
Requires-Dist: qiskit-ibm-runtime>=0.15.0; extra == "ibm"
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: provides-extra
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

﻿# Quantum Scoring SDK v0.3.0

Quantum-native framework with IBM Quantum hardware support.

## Installation

### Basic (with simulator)
pip install quantum-scoring-sdk

### With IBM Quantum support
pip install quantum-scoring-sdk[ibm]

## Features
- Built-in quantum simulator
- IBM Quantum hardware support
- F1=0.774 demonstrated on real hardware
- No PhD required

## Usage

### Simulator (default)
from quantum_sdk import Optimizer
opt = Optimizer()
score = opt.evaluate(data, config)

### IBM Quantum Hardware
from quantum_sdk import Optimizer
opt = Optimizer()
opt.configure_ibm(token='YOUR_IBM_TOKEN', backend='ibm_brisbane')
score = opt.evaluate(data, config, backend='ibm_brisbane')

## License
Proprietary. Contact jaimeajl@hotmail.com
