Quantum Machine Learning for Alzheimer’s Disease Diagnosis: A Critical Appraisal of Quantum-Advantage Claims

Key Points

• The aim is to critically evaluate the claims regarding the advantages of quantum machine learning in diagnosing Alzheimer's disease.
• Literature review on quantum machine learning applications in Alzheimer's diagnosis
• Assessment of quantum-advantage claims through comparative analysis
• Focus on teaching programs related to waste management knowledge as an analogy
• Identified gaps in quantum-advantage claims and their applicability to Alzheimer's diagnosis.
• Highlighted the need for robust clinical validation of quantum machine learning methods.