GitHub

quantum-neural-network

Interactive Python toolkit for topological quantum neural networks: noise-resilient classification via spin-network encoding, with three real-time visualization GUIs. Controlled interpolation between ...
GitHub

quantum-neural-network

Hybrid Quantum–Classical Neural Network (QCNN) for automated brain tumour detection using MRI images. Combines EfficientNet-B0 feature extraction with a 4-qubit PennyLane quantum layer and includes a ...
Live Science

'Thermodynamic computer' can mimic AI neural networks — using orders of magnitude less energy to generate images

Researchers generated images from noise, using orders of magnitude less energy than current generative AI models require. When you purchase through links on our site, we may earn an affiliate ...
IEEE

Multi-Branch Dendritic Computing for Federated Graph Neural Networks: Maintaining Interpretability Under Privacy Constraints

Abstract: Graph Neural Networks (GNNs) have demonstrated remarkable performance in modeling complex relational data. However, their deployment in privacy-sensitive domains remains challenging due to ...
IEEE

Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural Networks

Abstract: Hybrid Quantum Neural Networks (HQNNs) offer promising potential of quantum computing while retaining the flexibility of classical deep learning. However, the limitations of Noisy ...
Rochester Institute of Technology

RIT, URochester to receive $2 million to advance quantum communication network

RIT and the University of Rochester will receive $2 million in federal funding to further develop the Rochester Quantum Network (RoQNET). The National Institute of Standards and Technology (NIST) is ...