Quantum Sensing is emerging as a promising paradigm for the development of next-generation monitoring systems, exploiting quantum phenomena such as superposition, phase sensitivity, and coherence to detect weak physical or biochemical variations with high precision. In biomedical scenarios, this approach can enable more sensitive and potentially less invasive sensing platforms, overcoming some limitations of classical wearable devices affected by noise, calibration drift, and reduced measurement reliability.
Our research is mainly focused on adaptive Quantum Sensing for healthcare applications, with particular attention to continuous glucose monitoring. The goal is to design a quantum-assisted sensing framework able to improve signal robustness through Ramsey-based readout, multi-quadrature reconstruction, embedded AI correction, and adaptive control mechanisms. This approach aims to support accurate, real-time, and wearable-oriented monitoring even under noisy and variable biological conditions.
Hardware Assisted and Blockchain Empowered Security lab
Hardware Assisted and Blockchain Empowered Security lab