machine learning

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.

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.

We are looking for motivated and talented PhD candidates for the new Quantum Technology research group of Martin Kliesch at the Heinrich Heine University Düsseldorf (HHU) in Germany. The group aims to fill up two positions until summer 2018.

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