Note

This is the documentation for the current state of the development branch of Qiskit Experiments. The documentation or APIs here can change prior to being released.

level2_probability¶

level2_probability(data, outcome)[source]¶

Return the outcome probability mean and variance.

Parameters:

data (Dict[str, any]) – A data dict containing count data.
outcome (str) – bitstring for desired outcome probability.

Returns:

(p_mean, p_var) of the probability mean and variance: estimated from the counts.

Return type:

tuple

Note

This assumes a binomial distribution where \(K\) counts of the desired outcome from \(N\) shots the mean probability is \(p = K / N\) and the variance is \(\sigma^2 = p (1-p) / N\).