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logseq/assets/MDE_Intelligence_2023_paper_18_1691442588326_0.edn
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:content {:text "model-driven optimization can be applied in the context of quantum software engineering"},
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:content {:text "application of AI for model transformations, concerning endeavours such as model translation [1], generation [2], or repair [3], [4]. "},
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:content {:text "synthesis of quantum programs. The latter is particularly relevant for a broad adoption of QC, because designing a suitable quantum program for a desired computational task requires extensive knowledge in quantum information theory and linear algebra"},
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:content {:text "holistic approach that supports the definition but also to facilitate development, in parts or as a whole, by leveraging AI methods"},
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:content {:text "ethod to conduct automated quantum program synthesis using the existing MDO engine MOMoT [7]."},
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:content {:text "Drawing from dedicated models for representing quantum programs and configurable MDO approaches, it would allow to further analyse the application of different AI and MDE approaches for quantum program synthesis in the future."},
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:content {:text "roblem-agnostic environment for model optimization. "},
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:content {:text "arnessing quantum mechanical phenomen"},
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:content {:text " a quantum circuit comprises the application of quantum gates in an ordered manner "},
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:content {:text "gates are sequentially applied to the quantum information, which is stored on so-called qubits."},
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:content {:text "he required elementary quantum gates to realize a certain functionality, is known to be a highly non-trivial task which is required for the quantum program to be executable"},
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:content {:text "Several approaches have been explored to automate the discovery and synthesis of quantum programs, where especially reinforcement learning [15][17], [36][38] and genetic programming approaches [39][41] have been studied."},
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:content {:text "a genetic algorithm is used to search for implementations that meet the trade-off between accuracy and computational cost present in the NISQ-era"},
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