School of Science Department of Physics 59 Electromagnetic and Acoustic Metasurfaces Supervisor: LI Jensen Tsan Hang / PHYS Student: LI Yui To / PHYS Course: UROP1000, Summer Metasurfaces are planar structures with artificial designed nano-slots arrays which allow control on a range of properties of light. This feature enables metasurfaces to be applied as various optical components, and it can be used for imaging. In this work, we use two-photon interference to image an object with unknown polarization properties on the metasurface, and retrieve the Jones matrix elements of this unknown object by performing coincident measurements between the object and the references metasurface, whose polarization information are known. The retrieved profiles of the Jones matrix elements can then be used to construct an image of the object by mapping them to HSB color scale. Electromagnetic and Acoustic Metasurfaces Supervisor: LI Jensen Tsan Hang / PHYS Student: SHEK Wing Him / SSCI Course: UROP1000, Summer Metasurface, within their subwavelength thick layer, can bring an abrupt change to incident light. They enable new kinds of optical manipulation while exhibiting unique properties that are unprecedented in traditional optical components. Recently, due to their ability in manipulating light, there is growing interest in putting them into quantum imaging systems, these systems utilize quantum properties of light to produce better images. The first half of this article will give a brief review of quantum imaging and metasurface. The remaining half will introduce a project that integrates metasurface into quantum imaging to extract the transmission property of a test object, then will discuss some simulations done on the metasurface used as the test object, and lastly, my conclusion on the simulation results. Monte Carlo Simulation of 2D Supramolecular Assembly Supervisor: LIN Nian / PHYS Student: HUI Lik Hang Alpha / SSCI Course: UROP1100, Fall UROP2100, Spring UROP3100, Summer This is a report on simulation with supramolecular assembly using Kinetic Monte Carlo (KMC) with the use of Fortran. We will briefly talk about the coding of the logic behind the diagonal bonding and method for counting sizes of hexagonal structures. Then, we would have some concise simulations analysis regarding triangular molecules and atoms with different basic parameters and temperature cycle, with our main goal of forming the largest hexagonal structure.