I would like to introduce myself as the author of Qugel, a Quantum Machine Learning (QML) platform that focuses on utilizing shallow Quantum Neural Networks (QNNs) as image encoders. These encoders are built using Parametrized Quantum Circuits (PQCs) to tackle categorical image classification challenges.
I wanted to share one of the initial notebooks from a series that I am currently working on as part of my ongoing experiments with PennyLane. The notebook can be found at the following GitHub repository: Qugel Notebook.
Please note that the code provided in the notebook may not be fully functional or correct at this stage, as it is still under development. I appreciate your understanding and patience as I continue to work on refining and improving the code.