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QuasiDistribution

class QuasiDistribution(data, shots=None, stddev_upper_bound=None)[ソース]

ベースクラス: dict

A dict-like class for representing quasi-probabilities.

Builds a quasiprobability distribution object.

パラメータ
  • data (dict) –

    Input quasiprobability data. Where the keys represent a measured classical value and the value is a float for the quasiprobability of that result. The keys can be one of several formats:

    • A hexadecimal string of the form "0x4a"

    • A bit string e.g. '0b1011' or "01011"

    • An integer

  • shots (int) – Number of shots the distribution was derived from.

  • stddev_upper_bound (float) – An upper bound for the standard deviation

例外
  • TypeError – If the input keys are not a string or int

  • ValueError – If the string format of the keys is incorrect

Methods

binary_probabilities

Build a quasi-probabilities dictionary with binary string keys

clear

copy

fromkeys

Create a new dictionary with keys from iterable and values set to value.

get

Return the value for key if key is in the dictionary, else default.

hex_probabilities

Build a quasi-probabilities dictionary with hexadecimal string keys

items

keys

nearest_probability_distribution

Takes a quasiprobability distribution and maps it to the closest probability distribution as defined by the L2-norm.

pop

If key is not found, d is returned if given, otherwise KeyError is raised

popitem

Remove and return a (key, value) pair as a 2-tuple.

setdefault

Insert key with a value of default if key is not in the dictionary.

update

If E is present and has a .keys() method, then does: for k in E: D[k] = E[k] If E is present and lacks a .keys() method, then does: for k, v in E: D[k] = v In either case, this is followed by: for k in F: D[k] = F[k]

values

Attributes

stddev_upper_bound

Return an upper bound on standard deviation of expval estimator.