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sponsors two major performance components that are closely integrated with the academic offerings of the Department: a wide-ranging Performance Program (PP), whose 18 ensembles and programs cover a broad
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Research Engineer in Quantum Computing for Computational Fluid Dynamics for the Division of Computational Science and Technology. You will contribute to research on new computational methods for fluid
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quantum many-body theory, open quantum systems, or quantum information. Experience with advanced numerical methods for quantum systems, stochastic or phase-space techniques, high-performance computing, and
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, constrained quantum optimization, embedding, error mitigation, and rigorous performance benchmarking; or 4) quantum-inspired methods paired with a substantive quantum computing research agenda. Applicants
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Quantum computers promise capabilities far beyond today's computers, but only if we can reliably protect quantum information from errors. Quantum error correction (QEC) is therefore one
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Semiconductor Laboratory of the Max Planck Society (HLL), Garching | Garching an der Alz, Bayern | Germany | about 19 hours ago
systems and quantum effects. Perform advanced numerical simulations and modeling of qubit-based sensing systems, including relevant physical processes, noise sources and system-level performance. Work
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access to the nation's leading user facilities for high-performance computing and scientific networking. The project will also closely synergize with the QUANT-NET program (https://quantnet.lbl.gov
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Developing Quantum Computing and AI tools for mRNA structure prediction School of Mathematical and Physical Sciences PhD Research Project Directly Funded UK Students Dr Oleksandr Kyriienko
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intelligence (AI), and high-performance computing (HPC), as well as quantum-inspired algorithms and quantum machine learning (QML). Responsibilities: Lead and contribute to applied quantum computing research
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learning, Efficient Algorithms and High Performance Computing), and Physics (Image Formation Modelling). Your project is part of the DUAL-IMPACT project, which focuses on the development of new data-driven