machine learning

A three-year PhD studentship (comprising stipend and fees) is available to international students to work with Alessandro Ferraro and Mauro Paternostro at the Quantum Technology group, School of Mathematics and Physics, Queen's University Belfast.

The project will focus on the use of machine learning techniques for quantum information processing, with particular emphasis on quantum state and process engineering in photonics quantum networks.

The Quantum Information and Inference group led by Jan Kolodynski at the Centre of New Technologies (CeNT) of the University of Warsaw offers a 2(+1)-year postdoctoral position within the project Continuously Monitored Quantum Sensors: Smart Tools and Applications (C'MON-QSENS!)

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.

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