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on Gaussian/stabilizer decompositions quantum error mitigation and correction for continuous variable systems evaluating and rigorously define the computational power of continuous variable systems Your Profile
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efficient simulators for continuous and discrete variable systems with noise based on Gaussian/stabilizer decompositions quantum error mitigation and correction for continuous variable systems evaluating and
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computers to large-scale, fault-tolerant quantum computing. You will work on quantum error correction (QEC) protocols, which are one central and indispensable component in this endeavor. Your tasks include
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far, this treatment is mostly handled in two distinct phases: NISQ- with quantum error mitigation (QEM) and fault-tolerant regime with quantum error correction (QEC). You will research the combination
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compilation, optimization and error mitigation collaborate with theoretical computer scientists on developing noise-aware quantum programming paradigms Your Profile: Master in physics, computer science
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methods like ZX-calculus) towards description of quantum noise employ such extended methods for quantum circuit compilation, optimization and error mitigation collaborate with theoretical computer
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LLMs can already generate executable code from natural language requirements, the quality often falls short of expectations. An automated feedback loop that analyses generated code, converts errors
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of the occurrence of rare events, as well as model simplifications and associated a posteriori error estimate. This will mainly rely on the construction of optimal control strategies associated to the large deviation
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, converts errors into appropriate correction feedback, and feeds it back to the LLM promises significant improvements in this area. The aim of this master's thesis is to systematically evaluate
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: - Quantum computing with qudits, quantum error correction and fault-tolerance - Quantum optics of trapped ions and Rydberg atom arrays - Numerical tensor network techniques - Topological order and (de