iqm.benchmarks.utils.marginal_distribution#

iqm.benchmarks.utils.marginal_distribution(prob_dist_or_counts: Dict[str, float | int], indices: Iterable[int]) → Dict[str, float]#

Compute the marginal distribution over specified bits (indices).

Params: - prob_dist (Dict[str, float | int]): A dictionary with keys being bitstrings and values are either probabilities or counts - indices (Iterable[int]): List of bit indices to marginalize over

Returns: - dict: A dictionary representing the marginal distribution over the specified bits.

Parameters:

• prob_dist_or_counts (Dict[str, float | int]) –

• indices (Iterable[int]) –

Return type:

Dict[str, float]