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GSOC_MLHEP

Google Summer of Code - Machine Learning in High Energy Physics

The python package (quple) for the project can be found here: https://gitlab.cern.ch/clcheng/quple

Installing the package

To install quple, simply do

pip install quple

Exercise

For GSoC 2020:

  • Task I - Machine Learning: Open In Colab
  • Task II - Quantum Computing: Open In Colab

For GSoC 2021:

  • Task I - Quantum Computing: Open In Colab
  • Task II - Quantum GAN: Open In Colab
  • Task III - Quantum CNN: Open In Colab
  • Task IV - Graph Neural Network: Open In Colab
  • Task V - Open Task: Open In Colab

Colab Notebook Tutorials

For GSoC 2020:

Tutorial-01 Quantum Circuit

  • Open In Colab

Tutorial-02 Parameterised Quantum Circuit (PQC)

  • Open In Colab

Tutorial-03 Interaction Graphs

  • Open In Colab

Tutorial-04 Encoding Function

  • Open In Colab

Tutorial-05 Encoding Circuit

  • Open In Colab

Tutorial-06 Variational Circuit

  • Open In Colab

Tutorial-07 Circuit Descriptors

  • Open In Colab

Tutorial-08 Variational Quantum Classifier

  • Open In Colab

For GSoC 2021:

Tutorial-09 Parameterized Quantum Circuit (PQC) layer

  • Open In Colab

Tutorial-10 Quantum Convolution 2D (QConv2D) layer

  • Open In Colab

Tutorial-11 Quantum Generative Adversarial Network (QGAN)

  • Open In Colab

Advanced Tutorial-01 QGAN High Energy Physics Application

  • Open In Colab

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