Metadata-Version: 2.4
Name: shotiq
Version: 0.0.1
Summary: Intelligent dynamic shot allocation framework for Quantum Machine Learning
Home-page: https://shotiq-quantum
Author: Hongsuk Yi
Author-email: hsyi@kisti.re.kr
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Intended Audience :: Science/Research
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: requires-python
Dynamic: summary


# ShotIQ: Intelligent Shot Allocator for Quantum Machine Learning

ShotIQ is a dynamic shot allocation framework designed to optimize quantum resources 
by analyzing data difficulty and hardware noise characteristics.

- **Maximize Accuracy**: Strategic sampling for hard samples.
- **Minimize Cost**: Efficient resource routing for easy samples.
- **Noise-Aware**: Balancing statistical variance and hardware errors.

Full documentation and source code will be released soon.
