variationalquantumcircuits

Here is 1 public repository matching this topic...

vipinvinayan / DermaMNIST-Classification-using-Quantum-Convolutional-Neural-Network

8-qubit Quantum Convolutional Neural Network (QCNN) for binary skin lesion classification on DermaMNIST, implemented in PennyLane with autoencoder-based dimensionality reduction, Angle-compact quantum embedding, and SU(4) convolutional ansatz. Achieves 60% test accuracy with only 51 trainable parameters.#qml #qcnn #pennylane

qml pytorch nisq pennylane qcnn dermamnist variationalquantumcircuits

Updated Aug 13, 2026
Jupyter Notebook

Improve this page

Add a description, image, and links to the variationalquantumcircuits topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the variationalquantumcircuits topic, visit your repo's landing page and select "manage topics."

Learn more