The goal of the project is to understand new physical phenomena arising from quantum and nonlinear optical integration. In the future this research may open doors to new types of computers and simulators with information capacity exceeding the number of elementary particles in the entire universe.

This project aims to use a machine learning algorithm to perform beam alignment in an optics experiment. It would involve mode-matching two optical beams using motorised mirror mounts. Additional degrees of freedom like lens positions and beam polarisation can be added later.

Precise Earth gratitational field measurements with laser-ranging interferometry.

Multi-parameter state estimation at the fundamental precision limit

Metasurface can the generation and manipulation of polarization-entangled photon pairs at the nanoscale.

An optical quantum memory will capture a pulse of light, store it and then controllably release it. This has to be done without ever knowing what you have stored, because a measurement will collapse the quantum state. We are exploring a "photon echo" process to achieve this goal.

Atomic sensors are exquisitely sensitive. We aim to model and build a new generation of atomic sensors to measure magnetic fields, rotation and dark matter. 

Optical cavities are widely used in physics and precision measurement.  This project will explore the use of modern machine learning methods for the control of suspended optical cavities.

When two point sources of light are close together, we just see one blurry patch. This project aims to use coherent measurement techniques in quantum optics to measure the separation between the point sources beyond the Rayleigh's limit.

Absolute gravimeters tie their measurement of gravity to the definition of the second 
by interrogating the position of a falling test mass using a laser interferometer. Our vision is to develop and prototype a miniaturised absolute gravimeter by 
leveraging modern vacuum, laser, and micro-electromechanical systems.