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Neural Networks, to robot imitation learning. In this way, we aim to make the process safer, by detecting when the system might make prediction errors, and more efficient, by including the human in
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background in mathematics, particularly in coding theory, error correction, and their real-world applications. Knowledge of cryptography is appreciated but not mandatory. Limited teaching within the area can
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challenges that include (but are not limited to): Efficient compression of quantum data under unreliable entanglement assistance Joint compression and error correction for robust communication in the quantum
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that include(but are not limited to): Efficient compression of quantum data under unreliable entanglement assistance Joint compression and error correction for robust communication in the quantum-classical