machine learning

We offer a 2-years PhD position (with possible extension) for a motivated researcher to join our work on adaptive quantum sensing. Our goal is to develop an automatic quantum sensor, based on a single spin in diamond, enhanced by machine learning algorithms. The sensor will automatically optimize its settings to operate in conditions of maximum sensitivity, minimizing the estimation times.

The Quantum Information Group (GIQ) of the Universitat Autònoma de Barcelona (UAB) offers a postdoctoral position within the project C'MON-QSENS!
(Continuously Monitored Quantum Sensors: Smart Tools and Applications) funded by QuantERA EU program in Quantum Technologies. The appointment will be for a two years term, (possibly) renewable for a third year.

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

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