Specific QiML Algorithms for Medical R&D Applications

Explore quantum-inspired machine learning (QiML) algorithms tailored for medical research and development applications in this comprehensive presentation. Delve into the practical implementation of quantum effects in classical machine learning workflows using bit-based quantum simulators. Learn how to optimize circuits with trainable quantum and classical parameters in Python/PyTorch environments, leveraging pure states, exact expectation values, and adjoint differentiation. Analyze the Huynh, L., et al. 2023 'Quantum-Inspired Machine Learning: a Survey' with a focus on comparing Quantum "Q" versions to existing classical models in medical contexts. Gain valuable insights into the potential of QiML to revolutionize medical R&D processes and enhance existing computational approaches in healthcare.