Deep Q-Learning with Hybrid Quantum Neural Network on Solving Maze Problems
The official repository implement of QEEGNet: Quantum Machine Learning for Enhanced Electroencephalography Encoding (IEEE SiPS2024)).
Hybrid Quantum-Classical Neural Network + Pure QCNN for 9-class skin cancer classification using MERA-based preprocessing (PCA, HOG, PATCH) and QCNNs implemented with PennyLane and PyTorch, inspired by the paper "Quantum convolutional neural network for image classification" (Chen et al., 2023). Dataset: ISIC 2018.
collection of hybrid quantum-classical machine learning applications
Study on Hybrid Quantum-Classical neural networks, more precisely the effect of quantum algorithms on neural networks
Experiments for a genetic algorithm-based Quantum Architecture Search algorithm for computer vision tasks
To associate your repository with the hybrid-quantum-neural-network topic, visit your repo's landing page and select "manage topics."