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
Submitted by
Jense on Mon, 14/09/2020 - 13:19.
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.
Submitted by
pcappell on Wed, 09/09/2020 - 20:16.
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:
Submitted by
rfolman123 on Mon, 07/09/2020 - 13:56.
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
Submitted by
Biamonte on Sun, 06/09/2020 - 14:01.
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.
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