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will bridge advanced computational mechanics with physical reality, moving beyond trial-and-error by leveraging surrogate modeling (e.g., Kriging or Gaussian Processes) to efficiently explore complex
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tools from precision tuning and other approximate computing techniques to the problem of optimising the choice for error correction codes in logical qubits implementations. These techniques should
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this context, the candidate will contribute to QCNA’s broader mission of developing next-generation quantum cryptographic protocols, investigating error-correction techniques for distributed quantum applications
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protocols, investigating error-correction techniques for distributed quantum applications, and advancing architectures and protocols for the emerging quantum internet. The project will be embedded in a strong
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reality, moving beyond trial-and-error by leveraging surrogate modeling (e.g., Kriging or Gaussian Processes) to efficiently explore complex design spaces and identify resilient, resource-efficient material