The University of Toronto Department of Physics, in collaboration with Xanadu (www.xanadu.ai), a full-stack quantum computing startup company in Toronto, is initiating a joint research program into frontier projects on continuous variable quantum optics, in particular, the generation and characterization of non-Gaussian and Gaussian states. Within this project there are a variety of roles, from pure theory through to device engineering.
The selected candidate will be responsible for designing, building, training, and deploying machine learning models on Xanadu’s cutting-edge specialized quantum computing hardware. As part of our Quantum Machine Learning team, they will participate in multiple aspects of machine learning research and development targeted to near-term quantum devices. Other duties may include the training of traditional (non-quantum) machine learning models for comparison and benchmarking purposes.
The selected candidates will work with our established team of physicists and engineers to build our integrated photonic quantum computation platform based on the continuous variable (CV) approach. They will be involved in all aspects of the quantum hardware system at Xanadu’s lab: design of photonic components, construction of the apparatus, and carrying out key experiments. They will also be responsible for writing patents and peer-reviewed publications describing these devices and experiments. Successful applicants will have a proven track record of accomplishments in experimental quantum optics, having developed during their research careers cutting-edge techniques for the generation, control, and detection of non-classical light.