machine learning

Post Doctoral position, Quantum Machine Learning (QML): A post doc position is available to develop novel hybrid quantum - deep learning algorithms for next-generation quantum computing. The hybrid algorithms, which combine the strengths of AI and quantum algorithms, will be used to solve problems of quantum control and of mathematical physics. Emphasis will be placed on the explainability of the designed AI (XAI) without loss of performance. Qualifications: Ph.D.

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

1. Quantum Enhanced Technology
- quantum simulators
- quantum enhanced machine learning
- adiabatic vs gate-model algorithms

2. Foundations and Mathematical Methods
- theory of tensor networks
- theory of quantum walks and time symmetry breaking (chiral quantum walks)
- symmetries, invariant theory

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.

Skolkovo Institute of Science and Technology (Skoltech) is a unique English-speaking international graduate only research university, located just outside of Moscow. Established in collaboration with M.I.T., Skoltech integrates the best Russian scientific traditions with twenty-first century entrepreneurship and innovation.

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