Developing New Quantum Neural Networks for Neuroradiology

Explore the latest advancements in quantum neural networks for neuroradiology in this comprehensive 1-hour 11-minute conference talk. Delve into the applications of Quantum Autoencoders and Quantum Convolutional Neural Networks, with a focus on their implementation using Qiskit and Python. Examine the impact of modifications on quantum circuits, analyzing updated "Fit" times and "Fidelity" values. Gain insights into dynamic circuits and their relevance to MRI/PET image classification. Learn how these cutting-edge technologies are revolutionizing the field of neuroradiology and brain imaging. Access accompanying slides for enhanced understanding and explore provided references for further study. Ideal for professionals and researchers in quantum computing, artificial intelligence, neuroscience, and medical imaging.

Developing New Quantum Neural Networks for Neuroradiology