Metadata-Version: 2.1
Name: quple
Version: 0.5.0.1
Summary: A framework for quantum machine learning in high energy physics
Home-page: https://gitlab.cern.ch/clcheng/quple
Author: Alkaid Cheng
Author-email: chi.lung.cheng@cern.ch
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.5
Description-Content-Type: text/markdown
Requires-Dist: cirq
Requires-Dist: numpy
Requires-Dist: tensorflow (==2.1.0)
Requires-Dist: tensorflow-quantum

# Quple

A framework for quantum machine learning using the google cirq library

## Feature Map Tutorial

* Tutorial I: [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/AlkaidCheng/GSOC_MLHEP/blob/master/Deployment/Feature_Map/Feature_Map_Walkthrough.ipynb)

## Trial Wavefunction/ Parameterised Circuit Tutorial

* Tutorial I: [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/AlkaidCheng/GSOC_MLHEP/blob/master/Deployment/Trial_Wavefunction/Trial_Wavefunction_Walkthrough.ipynb)


## Parameter Resolver and Resolved Circuit Tutorial
* Tutorial I: [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/AlkaidCheng/GSOC_MLHEP/blob/master/Deployment/ParamResolver/EncodingCircuitWithParamResolver.ipynb)


