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Initially trained on simulated examples, AlphaQubit was further refined using real experimental data from Google's Sycamore quantum computer, which successfully showcased quantum supremacy. By interpreting patterns and correcting errors in calculated results, AlphaQubit acts as a sophisticated decoder for logical qubits.
In practice, every microsecond, the model updates its state based on physical qubit readings. At the conclusion of a computational task, AlphaQubit predicts whether an error occurred, providing the probability of the potential inaccuracies. This advanced mechanism brings forth a significant advancement in error correction, enhancing overall computational reliability.