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topics include, for example: Quantum information in quantum gravity Relativistic Quantum Information Computational complexity in adiabatic quantum computation AI to boost quantum technologies (e.g
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the USA. Details about our research can be found on the departmental website http://www.ucl.ac.uk/chemistry The post is part of the COSMOS Programme Grant, a multi-site research project funded by
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one or more of the following theories/methods: - wave-packet quantum dynamics (e.g., AIMS or MCTDH programs) - mixed quantum-classical dynamics, such as non-adiabatic MD (e.g., SHARC program) - density
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opportunity to work in various areas of theoretical and computational chemistry such as quantum and semi-classical theory of molecules, electronic excited-state dynamics and relaxation, materials and light
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Computational complexity in adiabatic quantum computation AI to boost quantum technologies (e.g., machine learning for quantum error prevention/mitigation/correction) Quantum machine learning Quantum cloud
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. Interested candidates may want to take a look at our recent work on machine learning molecular dynamics: https://www.nature.com/articles/s41467-024-52491-3 Project 2: Non-adiabatic Molecular Dynamics
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position (contract-based) and one PhD fellowship in Computational Biophysics/Chemistry (see also https://constructor.university/comp_phys). The PhD position is focused on efficient algorithms
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Your Job: The research will be part of the recent ERC Starting Grant "Atomic Scale Quantum Sensing and Information with Molecular Nanostructures on a Scanning Probe Tip" (ERC-2024-StG, QuSINT). Our