Predicting the outcome of a general election is a challenge. But combining quantum computing with neural network technology could improve forecasts, according to a study that used just such a network to model the 2016 US presidential election. Most pollsters incorrectly predicted that Hillary Clinton would win this election. After, many analysts concluded that one reason for the inaccuracy was that the predictive models used did not take into account the fact that individual states are not isolated--correlations between them can have an effect
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