Looking for excellent PhD students to join and build a group at @VectorInst on topics at the intersection between machine learning and quantum many-body physics and quantum technology. If you are interested get in touch with me and/or apply to @UWaterloo Physics and Astronomy. A good knowledge of quantum mechanics, statistical physics, and machine learning would be great, but ultimately the important thing is that you are genuinely excited about quantum many-body physics

Deep Quantum Labs is in the ongoing process of a expansion planned over the next several years as we continue to establish resident based international leadership in several core areas of theory related to quantum computation, tensor networks, Hamiltonian complexity and quantum machine learning.

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.