Explore advanced concepts in quantum radiomics machine learning workflows during this 1-hour 10-minute presentation. Delve into current quantum machine learning techniques that make quantum simulators practical for medical applications, including adjoint differentiation for efficient state vector circuits, pure state representations on the Bloch sphere, and exact expectation value calculations. Learn about recent developments in multi-node quantum simulations using supercomputers and GPUs to process massive datasets. Examine ongoing research efforts to improve quantum methods for analyzing large-scale medical data. Gain insights into the potential future of quantum computing in radiomics and medical machine learning through real-world examples and cutting-edge research references.
Advanced Discussion: Potential Quantum Radiomics ML Workflows
Overview
Syllabus
Advanced Discussion: Potential Quantum Radiomics ML Workflows
Taught by
ChemicalQDevice
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