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quantum chemistry (DFT) and control engineering. PhD position in chemical reaction engineering (Kinetic modeling & thermal runaway) Supervisors: Sébastien Leveneur (sebastien.leveneur@ircelyon.univ-lyon1.fr
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the performance of generative models, exploring hybrid approaches combining classical and quantum learning. The research will be part of the AI 2030 Cluster of the Institut Polytechnique de Paris, in line with the
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doctoral PHD Country: France Where to apply Website https://www.abg.asso.fr/fr/candidatOffres/show/id_offre/136664 Requirements Specific Requirements Strong background in chemistry, physical chemistry
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applications for a postdoctoral position on logical foundations and formal methods for quantum programming languages. Topics of interest (non-exhaustive) : • Models of quantum computation (λ-calculi, term
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performance of the mirror, as well as the quantum efficiency, noise, dark current, latency, and readout speed of the cameras. 3. Define, design and implement the test tools required for system validation of key
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-qubit gates using intra-cavity Rydberg superatoms for photonic quantum computing. The post-doctoral researcher will develop new protocols for quantum engineering of light using cold interacting atoms, and
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with a strong background in quantum and/or conformal field theory, effective field theory, gravitation, condensed matter theory and topological field theory, broadly interpreted, and interested in
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réactivité de surface des cages. Cette stratégie, évolutive et polyvalente, peut être appliquée à la catalyse, à la conversion d'énergie, à la photosynthèse artificielle, ou encore à l'isolation de quantum
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. This dynamic environment includes several researchers working on related topics in quantum technologies, providing a stimulating scientific framework ideal for exploring synergies between theory and experiment
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