Simulation‐Based Neural Signal Detection and Early Alzheimer’s Diagnosis Using ENZ Graphene Quantum Photodetectors

We propose a simulation‐based biophotonic neural interface utilizing epsilon‐near‐zero (ENZ) graphene Schottky photodetector arrays to achieve substantial improvements in quantum‐scale neural signal detection. Building upon our previously developed side‐illuminated graphene devices, which demonstrated high detectivity (9.6 × 10 12 Jones) and ultralow dark currents (10 −15 A), the present model achieves femtosecond‐scale temporal resolution for simulated monitoring of quantum coherence in neuronal microtubules. In modelled early‐stage Alzheimer’s detection scenarios, the system’s quantum biomarker analysis attained simulated sensitivity of 95% and specificity of 98%, indicating potential diagnostic advantages over conventional PET and CSF methods. Simulations predict the capability to detect ultraweak biophoton emission rates (∼10 −21 W) with high signal‐to‐noise ratios (> 10 6 :1), based on experimentally validated optical parameters. These results support the potential applicability of ENZ graphene photodetector technology to next‐generation neural quantum sensing and computational studies of quantum phenomena in biological systems.