DictStateFn.sample¶
- DictStateFn.sample(shots=1024, massive=False, reverse_endianness=False)[source]¶
Sample the state function as a normalized probability distribution. Returns dict of bitstrings in order of probability, with values being probability.
- Parameters
shots (
int
) – The number of samples to take to approximate the State function.massive (
bool
) – Whether to allow large conversions, e.g. creating a matrix representing over 16 qubits.reverse_endianness (
bool
) – Whether to reverse the endianness of the bitstrings in the return dict to match Terra’s big-endianness.
- Return type
dict
- Returns
A dict containing pairs sampled strings from the State function and sampling frequency divided by shots.