2018/19 Cohort
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Alex Qiu
Modelling the Iridoplasts in Begonia
Alex graduated from the University of St Andrews in 2015 with an MPhys in Mathematics and Theoretical Physics, with an emphasis on group theory and quantum physics. Their final year project looked at incorporating and identifying retardation effects in quantum states interacting with each other via a bath of states. Alex worked in the hospitality industry for three years following their graduation before joining the CDT. Their main research interests are in the practical applications of quantum theory, especially the revolutionary potential of quantum computers. In their spare time, Alex enjoys dancing, board games and climbing. -
Marija Radulovic
Phase modulation in 2μm photonics
Marija studied Electrical Engineering at the University of Belgrade, Serbia. During her undergraduate studies, her main focus was applied physics – ranging from semiconductor physics and quantum devices to photonics and optoelectronics. After completing her courses, Marija joined Nano-Photonics and Quantum Optics Laboratory at Institute for Quantum Computing, University of Waterloo, where she did her project for bachelor thesis – ‘Critically coupled on-chip fiber ring resonator’. Although her whole undergraduate studies were focused on theoretical aspects, after her experience in Canada, Marija is leaning more towards experimental work. She is one of the founders of University of Belgrade’s OSA Student Chapter and is actively working on Photonics outreach in Serbia. In her spare time, she enjoys travelling, reading, photography and arts. -
Reece Shaw
Quantum Machine Learning for LOQC Architectures
Reece graduated from the University of Liverpool with a first class MPhys degree in 2018. Throughout his degree Reece became captivated by the 'weirdness' of quantum mechanics, and how the underlying principles could be utilised for future applications. In his final year, he undertook a project named 'Deep Learning Techniques for Neutrino Event Identification at SBND' where a Convolutional Neural Network was implemented through Google's TensorFlow Machine Intelligence Library to allow for automated particle tagging of LArTPC images, in a similar manner to the way Facebook recognises people automatically in photos. Coming from an experimental background, Reece is now keen to dive into theoretical aspects such as Quantum Error Correction and Quantum Cryptography during his PhD. Away from his studies, he enjoys going to techno nights and watching too much Come Dine With Me. -
Cecile Skoryna Kline
Exploring spin-photon-phonon interactions in integrated photonic platforms
Cecile graduated from the University of Rochester (Rochester, NY) with a BSc in Physics. During her undergraduate degree she was involved in particle astrophysics research focused on studying charged cosmic rays and gamma rays detections from the High-Altitude Water Cherenkov Gamma-Ray Observatory. For two summers she worked at the Research Center for Optics (CIO) in Mexico on developing an algorithm for automated noise-level detection and noise-related uncertainty determination in terahertz time-domain spectroscopy. During her first year in Rochester Cécile was part of a group project working on an experiment to obtain polarisation-entangled photons. This experience sparked her interest for quantum physics and now is looking forward to exploring applications of quantum entanglement such as Quantum Key Distribution. On her free time she enjoys cooking, reading, finding the best coffee spots and travelling.