A key challenge in quantum computing involves dealing with errors which may arise from environmental noise or imperfections in the hardware. Error mitigation and correction strategies are essential to the development of practical quantum computing devices. In recent years, photonic quantum computing has emerged as a promising platform for quantum computing and demonstrating a genuine quantum advantage. Quantum states of light (QSoL) are robust to environmental noise and can be easily manipulated and measured using simple optical components at room temperature. Additionally, QSoL can be transmitted over long distances using optical fibres, which makes them an attractive option for quantum communication and networking.
Submitted by
IMPRS-CPQM on Tue, 26/09/2023 - 14:32.
We are a newly started laboratory at Chalmers University of Technology in Sweden. We will create interfaces between cold atoms, light and motion using nanofabricated devices. We will use these devices to create quantum states of mechanical motion. If you have a passion for highly collaborative, experimental research and want to learn advanced technical skills ranging from nanofabrication to atomic and optical physics, this is for you! For more information, see thethe job advertisement or our laboratory website.
Submitted by
Gettrick on Thu, 21/09/2023 - 17:50.
Applications are invited (on a competitive basis) for PhD scholarships (Government of Ireland funded) in theoretical quantum computation, at University of Galway. Areas of interest include quantum algorithms, quantum walks and quantum games. For initial enquiries, please email michael.mcgettrick@UniversityOfGalway.ie
Submitted by
mansari on Thu, 21/09/2023 - 10:59.
1 Postdoctoral position and 2 PhD position in designing superconducting qubits with Machine Learning at the Research Center of Juelich, Germany
Application deadline: Monday, October 30, 2023
Research group: https://sites.google.com/site/mansari
* Description:
The research group of Mohammad Ansari at Research Center Jülich, Germany, invites applications for a postdoctoral and PhD position in superconducting processors with machine learning.
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