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Explore quantum programming applications in neuroradiology and medical imaging in this comprehensive 1-hour 26-minute conference talk. Delve into the potential of Quantum Variational Circuits (QVCs) for Alzheimer's Disease classification and prediction. Learn about innovative approaches such as Quantum Convolutional Neural Networks (QCNNs), Fully Connected Quantum Convolutional Neural Networks (FCQ-CNN), and scalable Quantum Convolutional Neural Networks (sQCNNs) for medical data analysis. Discover how these quantum techniques can enhance conventional CNNs and leverage quantum entanglement and superpositioning. Gain insights into the challenges of implementing quantum algorithms on real hardware, including the issue of "barren plateaus." Join Kevin Kawchak as he presents literature-backed examples of quantum code applications in Alzheimer's Disease research, offering a glimpse into the future of quantum-enhanced medical imaging and diagnostics.
