Current research degree projects
Explore our current postgraduate research degree and PhD opportunities.
Explore our current postgraduate research degree and PhD opportunities.
The main challenge in the adoption of quantum computing is the gap between algorithmic requirements and current quantum hardware. In this project, you will codevelop novel qubit efficient quantum approaches and techniques that can be used to solve optimization problems and apply them to logistics, pharma, transport, or manufacturing industries.
This project will advance levitated optomechanical technology, specifically a levitated gradiometer, through early-stage development for autonomous underwater vehicles. You will contribute to the design, modelling, and experimental realisation of a prototype levitated gradiometer comprising two (or four) levitated optomechanical sensors stabilised by an optical interferometer for common-mode noise rejection.
Quantum materials such as superconducting magic-angle twisted bilayer graphene exhibit exceptional sensitivity to external stimuli, offering a unique platform for quantum sensing. This project develops 2D material-based membrane sensors for single-photon detection and noise spectroscopy, integrating nanoelectromechanical and quantum photonic functionalities into a unified, energy-efficient platform for next-generation quantum technologies.
Shape the future of neuro-controlled medical devices using quantum memristors as artificial synapses. Gain hands-on experience in micro/nano-fabrication, quantum state characterisation, neuromorphic circuits, and biohybrid interfaces, developing the critical neuromorphic interfaces that transform healthcare technologies to think, learn, and move like natural human body.
Variational quantum algorithms (VQAs) are hybrid classical-quantum machine learning methods designed to optimally utilize current quantum hardware, which remains limited by noise, limiting the number of computational operations. This project will adapt methods from sparse optimization to adapt the order and choice of the fundamental computations in VQAs.
Recently developed ferroelectric nematic liquid crystals offer fast switching speeds and show strong nonlinear responses, as demonstrated through their use in second harmonic generation. They are promising materials for other optical parametric processes used in generating entangled photons and for creating tuneable nonlinear components.
This project explores the emerging field of Quantum Computational Fluid Dynamics (QCFD), combining quantum computing and CFD to simulate nonlinear systems such as turbulence and shockwaves. You will be working and implementing quantum variational algorithms in quantum computers that bridge fundamental physics with quantum algorithmic innovation for next-generation fluid simulation.
This project engineers the atomic-scale microstructure of Josephson junctions—optimising grain orientation, stress, and interfaces—for longer-lived, reproducible qubits. Students will combine advanced thin-film growth, microscopy, and cryogenic testing to engineer “perfect” quantum hardware.