Cross-entropy benchmarking is a technique used to evaluate the performance of quantum computers by measuring how closely the outputs of a quantum algorithm match the expected results. This method focuses on the probability distributions of the actual outputs versus the ideal outputs, allowing researchers to quantify the accuracy and reliability of quantum devices. By assessing cross-entropy, this approach helps identify errors in quantum computations, making it essential for improving quantum hardware performance and understanding their limitations.
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