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
To install quple, simply do
For GSoC 2020:
- Task I - Machine Learning:
- Task II - Quantum Computing:
For GSoC 2021:
- Task I - Quantum Computing:
- Task II - Quantum GAN:
- Task III - Quantum CNN:
- Task IV - Graph Neural Network:
- Task V - Open Task:
For GSoC 2020:
Tutorial-01 Quantum Circuit
Tutorial-02 Parameterised Quantum Circuit (PQC)
Tutorial-03 Interaction Graphs
Tutorial-04 Encoding Function
Tutorial-05 Encoding Circuit
Tutorial-06 Variational Circuit
Tutorial-07 Circuit Descriptors
Tutorial-08 Variational Quantum Classifier
For GSoC 2021:
Tutorial-09 Parameterized Quantum Circuit (PQC) layer
Tutorial-10 Quantum Convolution 2D (QConv2D) layer
Tutorial-11 Quantum Generative Adversarial Network (QGAN)
Advanced Tutorial-01 QGAN High Energy Physics Application
