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between control of the quantum state, robustness to noise, signal detection and, importantly, scalability. Thus, there is an ongoing race to discover and characterize new quantum compatible platforms
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between control of the quantum state, robustness to noise, signal detection and, importantly, scalability. Thus, there is an ongoing race to discover and characterize new quantum compatible platforms
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fields for wider subsea and space exploration. However, it has been challenging to find the balance between control of the quantum state, robustness to noise, signal detection and, importantly, scalability
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of the quantum state, robustness to noise, signal detection and, importantly, scalability. Thus, there is an ongoing race to discover and characterize new quantum compatible platforms that satisfy
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science » Informatics Computer science » Other Mathematics » Applied mathematics Mathematics » Other Physics » Applied physics Physics » Mathematical physics Physics » Other Physics » Quantum mechanics Researcher Profile
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(quantum) optimization methods and Machine Learning (ML). The PhD position is a research collaboration between the OsloMet Quantum Hub and the REGAL project. The successful applicant will be affiliated with
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At QuSpin, our theory activity focuses on developing models for the utilization of spins and other quantum degrees of freedom in magnetic materials, superconductors, and in topological states of
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At QuSpin, our theory activity focuses on developing models for using spins and other quantum degrees of freedom in magnetic insulators, topological insulators, and superconductors. The candidate
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Offer Description The position The Department of Chemistry has a Postdoctoral Fellow position vacant. The position is attached to the research group Hylleraas Centre for Quantum Molecular Sciences, a
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At QuSpin, our theory activity focuses on developing models for the utilization of spins and other quantum degrees of freedom in magnetic insulators, topological insulators, and superconductors