Submitted by
bouchard on Wed, 30/12/2020 - 08:26.
A post doc position is available in the lab of Dr. Louis Bouchard at UCLA to work on magnetic resonance (ESR, NMR) projects related to quantum science. Our group has pioneered the development of magnetic resonance techniques to probe condensed matter phenomena in topological insulators, crystalline insulators, Dirac semimetals, topological superconductors, etc. Some of these materials are now being developed for topological quantum computing. In recent years we have also had interest in gas phase diffusion phenomena and associated non-Markovian effects.
Overview
The Quantum Information and Computation group at the Institute for Theoretical Physics at the University of Innsbruck is looking for a Postdoc to start working on a new ambitious and exciting project. The multidisciplinary scope of this research brings together ideas from artificial intelligence, measurement-based quantum computation and theoretical quantum optics. The ideal candidate has proven expertise in at least two of these fields, and is familiar with numerical simulations and analytics in quantum theory.
Submitted by
Biamonte on Sat, 01/08/2020 - 13:45.
Applications are invited for a postdoctoral research position with a possibility for extension, in the field of theory of quantum computations and quantum algorithms. The position will be held at Skolkovo Institute of Science and Technology (Skoltech), Moscow, Russia. The start date is flexible.
The successful applicant will work in the research group led by Prof Jacob Biamonte in the area of quantum computations and quantum networks, with a focus on quantum enhanced algorithms and error mitigation on experimental devices.
Submitted by
Mauro on Mon, 08/06/2020 - 12:57.
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.
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