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, JR102161] Application Title: Postdoctoral Researcher in Quantum Algorithms and Quantum Information Science for Quantum Field Theoretic Applications to Condensed Matter, Nuclear, and High Energy Physics
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 20 days ago
algorithms for solving partial differential equations # Implementation, testing, and benchmarking of computational methods on high-performance computing and quantum computing platforms # Analysis and
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, stochastic thermodynamics, and quantum physics. The research will focus on three main directions: Thermodynamic computing: developing physics-inspired alternative models of computation that aim to reduce
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mode and encodes arbitrary quantum information within the logical subspace. At the Applied Quantum Physics Laboratory (AQPL) , we work on theoretical aspects of future high-performance nano-electronic
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with good academic performance; sound knowledge of theoretical physics, quantum information theory, quantum communication; programming skills in relevant programming languages Please enclose written
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on high-performance computing and quantum computing platforms Analysis and validation of results using classical reference models and simulation data Documentation of research results and contribution
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; hadron and nuclear physics as well as the council of German observatories (https://erumdatahub.de/en/erum-communities/ ). About your role: Team up with experts in the ErUM domain and perform the transfer
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(e.g., QLSTM, quantum neuromorphic computing) for channel estimation with high-dimensional data in the wireless network with high dynamics caused by user requirements, sophisticated propagations, and
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challenge: how to evolve classical communication networks to support both traditional data and the unique requirements of quantum information systems (https://www.classique.aau.dk). CLASSIQUE will address a
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. Experience contributing to or leading multi-investigator successful (funded) proposal efforts. Experience working in a computational and/or theoretical research environment. Familiarity with high-performance