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, or a related field. Have documented experience in some of the following: Computational materials modelling or quantum mechanical simulations (e.g. DFT, MD). Machine learning / deep learning (preferably
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professional networking opportunities A structured PhD program with a comprehensive range of continuing education and networking opportunities - more information about the PhD program at the HZDR can be found
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in the study of problems in quantum many-body physics through the lens of quantum information and quantum computing? Do you enjoy studying complex quantum mechanical systems both from a physical and a
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computing? Do you enjoy studying complex quantum mechanical systems both from a physical and a mathematical perspective? Are you an innovative and productive team player who enjoys being part of
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(hep-ph) , HEP-Theory (hep-th) , Lattice Field Theory , Machine Learning , Particle Physics , Physics-informed machine learning , Quantum Computation , Quantum Information , Quantum Information
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quantum technology. If you have a relevant academic background and want to fulfill your ambitions, this is the right place for you. Responsibilities and qualifications The focus research areas
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Quantum Systems (PhoQS), experts from the fields of physics, computer science, mathematics, electrical engineering and information technology conduct joint research on integrated photonic quantum
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computing. This will include, but is not limited to, the design of distributed quantum algorithms, circuits, and error correction, as well as the interplay between circuit optimization and circuit
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-efficient and high-performance photonic devices have been driven by the quantum revolution. This PhD studentship aims to develop novel materials and components that facilitate strong light-matter interactions
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to fundamental research in condensed matter physics, enriched by interdisciplinary activities at the interfaces with chemistry, engineering, and biology. The PhD student will join the Quantum Nano Electronics and