Metadata-Version: 2.4
Name: xqubit
Version: 0.0.1
Summary: Quantum state vector representation for gene expression data
Author-email: Jianqiang Sun <sun@bitdessin.dev>
License: MIT
Project-URL: Homepage, https://github.com/bitdessin/xqubit
Project-URL: Issues, https://github.com/bitdessin/xqubit/issues
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: tqdm
Requires-Dist: numpy>=1.21
Requires-Dist: pandas>=1.3
Requires-Dist: matplotlib
Requires-Dist: scikit-learn
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Requires-Dist: plotly
Provides-Extra: full
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Requires-Dist: qiskit_ibm_runtime; extra == "full"
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Dynamic: license-file

# xqubit

xqubit is a Python package for encoding temporal gene expression profiles as complex-valued state vectors.
It provides tools for calculating fidelity between state vectors,
constructing fidelity-based gene networks,
and detecting gene communities to explore the structure of transcriptomic data.

- Documentation: https://bitdessin.github.io/xqubit
- PyPI: https://pypi.org/project/xqubit
- GitHub: https://github.com/bitdessin/xqubit

