- marginal_counts(result, indices=None, inplace=False, format_marginal=False, marginalize_memory=True)¶
Marginalize counts from an experiment over some indices of interest.
result (Union[dict, Result]) – result to be marginalized (a Result object or a dict(str, int) of counts).
indices (Optional[List[int]]) – The bit positions of interest to marginalize over. If
None(default), do not marginalize at all.
inplace (bool) – Default: False. Operates on the original Result argument if True, leading to loss of original Job Result. It has no effect if
resultis a dict.
format_marginal (bool) – Default: False. If True, takes the output of marginalize and formats it with placeholders between cregs and for non-indices.
marginalize_memory (Optional[bool]) – If True, then also marginalize the memory field (if present). If False, remove the memory field from the result. If None, leave the memory field as is.
- A Result object or a dictionary with
the observed counts, marginalized to only account for frequency of observations of bits of interest.
- 반환 형식
Result or dict(str, int)
- 예외 발생
QiskitError – in case of invalid indices to marginalize over.