Authors - Satrasala Hari priya, Sabhya Kulkarni, Sindhu Baddela, Spoorthi Krishna Devadiga, Suja CM Abstract - This paper evaluates the quantum entanglement techniques for the detection of Parkinson’s disease using multimodal clinical data from the PPMI database. Four encoding techniques are evaluated: Amplitude Encoding, Dense Angle, IQP-based Pauli, and Hierarchical. The results of the analysis indicate that accuracy and the efficiency of the circuit are greatly impacted by the entanglement technique. Amplitude Encoding is the most efficient for NISQ computers (92.00% accuracy, 6-depth circuits), while Dense Angle provides the highest accuracy (92.59%). Hierarchical entanglement is the least efficient (80.86%), showing that too much depth causes optimization difficulties. These results provide practical recommendations for the design of quantum circuits for medical diagnosis.
Open Zoom