Example PhD

Modelling Quantum Devices from Experimental Data

Supervisor: Dr F.C. Langbein

Keywords: Quantum technology, differential geometry, computational modelling, applied geometry

Significant advances in theory and technology such as nano-fabrication, photonics, laser technology, ion-trapping, atom chips and Bose-Einstein condensation are increasingly pushing quantum phenomena into the realm of engineering, as building blocks for novel technologies and applications from chemistry to computing. Devising quantum devices to harness the potential of quantum systems is a challenging task, requiring control of quantum effects and system designs that are robust with respect to fabrication imperfection, environmental noise and loss of coherence. While significant progress has been made in designing effective controls, most approaches are based on models which do not capture the full complexity of the device. Therefore, system identification and model building from experimental data are required, taking into account the limitations of measurement and control resources, to enable accurate descriptions of the relevant static and dynamic device properties. This project will investigate novel algorithms for building models of quantum devices based on the data obtained from suitable experimental protocols and consider efficient simulation of these models for applications in quantum control.

Key Skills/Background: requires strong mathematical and computing skills and knowledge of quantum physics

Contact: Dr F.C. Langbein to discuss this research topic.