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Requisition Id 15472 Overview: We are seeking a Postdoctoral Research Associate who will contribute to the development and implementation of novel tensor network algorithms and their combination
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Description Two postdoc positions are available as part of the Lumina quaeruntur project "Models and filtrations in tensor triangular geometry" at the Department of Algebra, Geometry and Mathematical Physics
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complexity of relationships between the nodes of networks with a mul-tidimensional nature, tensors are used to represent these kind of networks. For example, the transport network mentioned earlier would be
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physics is especially interesting due to the presence of exotic excitations, potentially non-Abelian. The TensQHE project aims to develop modern numerical tools based on tensor networks, within an open
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of quantum information science, tensor network theory, and generative modeling (transformers, diffusion models, etc.). - Conduct cutting-edge research at the intersection of quantum information, machine
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, lead large-scale benchmarking across the full stack, and develop scalable classical simulations (e.g., tensor networks)—including performance bounds beyond brute-force classical simulability. This role
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the full stack, and develop scalable classical simulations (e.g., tensor networks)--including performance bounds beyond brute-force classical simulability. This role is deeply collaborative with the Advanced
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simulation tools for correlated attosecond electron dynamics in molecules." The position will involve developing new methods related to tensor network states (e.g. TD-DMRG, MCTDH) to simulate correlated
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, theoretically grounded, and explainable. The research sits at the crossroads of quantum information science, tensor network theory, and generative modeling (transformers, diffusion models, etc.). Key research
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methods related to tensor network states (e.g. TD-DMRG, MCTDH) to simulate correlated attosecond electron dynamics in molecules. Of particular interest are candidates who are interested in research in one