Digital twins
I am developing full digital twins of quantum devices in the aim to accelerate their industrial uptake in real-life applications. Through an accurate modelling of the underlying hardware and of the various cross-couplings with the environment, I am establishing a leading digital simulation capability permitting to:
· Test design options that would be too complex or costly in real life, including optimizing the system in real time
· Make a quantifiable link between hardware choices and full system performance, and investigate the benefits of implementing the newest ideas from quantum theory
· Support fast trials, and later prototype development, with digital simulation
· Provide quantum industries with tools to prepare for the uptake of lab-based systems
Highlights
Quantum sensing for gravity map-matching aided navigation
Inertial navigation systems (INS), which provide position estimates by integrating measured instantaneous kinetic parameters, could drastically change the way we navigate - being less reliant on GPS, safer, and opening new opportunities including autonomous shipping and sub-sea activity. However, these systems tend to drift over time due to the accumulation of integration errors, limiting how well they can accurately provide a position and heading. In gravity map-matching aided navigation, a quantum gravity sensor is integrated into an INS to provide real-time estimates of the local gravity and compare them to existing gravity maps to compensate for the INS errors in real time. I am currently developing the first full digital twin of a quantum sensor for gravity map-matching in view of interfacing it with industry navigation systems, in partnership with MBDA. That would permit a full assessment of the overall integrated navigation performance of quantum sensors, and guide the next stage of sensor development to reach a prototype system for trials on real world platforms.
