PostDoc

Your mission:

The Quantum Computing Group at the High-Performance Computing Department of the Institute for Software Technology at DLR is focused on application-focused algorithms for near-term quantum computing. In particular, the group works with fundamental researchers as well as possible end-users to achieve the goal of finding quantum advantage for useful applications.

- Overview:
The Theoretical Cavity-QED Group in the Institute for Theoretical Physics at the University of Innsbruck is looking for a motivated Postdoc (or visiting/intern/exchange PhD student) to work on an exciting and challenging project. The project lies in the interface of "synthetic gauge potentials in quantum gases" and "cavity (or waveguide) quantum electrodynamics". Therefore, the ideal candidate should be familiar with both subjects and have extensive experience in both theory and numerical calculations.

A deep analogy between topological materials and superconducting devices was recently theoretically established [1], in particular between a 3-dimensional topological solid and a 4-terminal superconducting junction. We propose to explore this analogy by designing and fabricating multiterminal superconducting junctions and by probing their quantized energy spectrum using circuit-QED techniques.

[1] R.-P. Riwar, M. Houzet, J. S. Meyer, Yuli V. Nazarov, Multi-terminal Josephson junctions as topological materials, arXiv:1503.06862

The Experimental Quantum Optics group (https://research.tuni.fi/eqo/) is looking for a motivated postdoc to work on quantum experiments studying fundamental features of photons and their interaction with matter. Besides performing research on the highest-level, the positions will provide the opportunity to develop and refine high-tech skills in quantum technologies, photonics, programming and data analysis.

Since 1990, the volt has been defined using superconducting devices called Josephson junctions. The DC voltage across a Josephson junction is related only via fundamental constants to the frequency of an applied microwave signal. As existing microwave sources have frequency stability well below one part-per-billion (ppb), so is the precision of the Josephson voltage standard.

Your Tasks

• Developing quantum machine learning algorithms
• Investigating error mitigation for NISQ devices
• Participating in cooperation projects with industry and research
• Managing project assignments and/or supervising students
• Disseminating research results in scientific publications, lectures and by attending outreach activities aimed at the general public (e.g., events, trade fairs, etc.)

What we expect from you

We are offering both a fully funded three-year postdoctoral position (E13) and a PhD position (E13 3/4) to highly motivated and well-qualified researchers who intend to conduct research in the field of quantum error correction and related fields. The scientific project will relate to the fundamentals of topological quantum error correcting codes as well as to near-term error mitigation in realistic quantum devices. The successful candidates will work as part of the research group led by Jens Eisert at the FU Berlin.

Postdoc position at the MIT Plasma Science and Fusion Center (PSFC), to design quantum algorithms (with a numerical or analytical characterization of their performance) for solving plasma physics and fusion-relevant problems on fault-tolerant or near-term quantum platforms. Will work closely with and under the supervision of professors Loureiro and Cappellaro (MIT) and Dr. Hari Krovi (BBN) and collaborate and assist the supervision of graduate students involved in the project.

REQUIREMENTS:

Title: Azrieli Foundation International Postdoctoral Fellowships in Atomic Physics and Quantum Optics

Group: AtomChip Laboratory, Ben-Gurion University, Israel (www.bgu.ac.il/atomchip)

Apply: November 1, 2020

Numerical Scientist (Machine Learning/Quantum Physics)

The Skolkovo Institute of Science and Technology’s Laboratory for Quantum Information Processing is seeking a candidate familiar with computational physics. We are particularly interested in candidates experienced in quantum physics and/or deep learning. Experience in high-performance computing and parallel algorithms is a plus. The start date is flexible.