mthree.classes.QuasiCollection

class QuasiCollection(data)

QuasiCollection constructor.

Parameters:

data (list or QuasiCollection) – List of QuasiDistribution instances.

Raises:

TypeError – Must be list of QuasiDistribution only.

Methods

expval([exp_ops])	Expectation value over entire collection.
expval_and_stddev([exp_ops])	Expectation value and standard deviation over entire collection.
nearest_probability_distribution()	Nearest probability distribution over collection
stddev()	Standard deviation over entire collection.

Attributes

mitigation_overhead	Mitigation overhead over entire collection.
shots	Number of shots taken over collection.

expval(exp_ops='')

Expectation value over entire collection.

Parameters:

exp_ops (str or dict or list) – Diagonal operators over which to compute expval.

Returns:

Array of expectation values.

Return type:

ndarray

Raises:

M3Error – Length of passes operators does not match container length.

Notes

The dict operator format is a sparse diagonal format using bitstrings as the keys.

expval_and_stddev(exp_ops='')

Expectation value and standard deviation over entire collection.

Parameters:

exp_ops (str or dict or list) – Diagonal operators over which to compute expval.

Returns:

Tuples of expval and stddev pairs.

Return type:

list

Raises:

M3Error – Length of passes operators does not match container length.

Notes

The dict operator format is a sparse diagonal format using bitstrings as the keys.

property mitigation_overhead

Mitigation overhead over entire collection.

Returns:

Array of mitigation overhead values.

Return type:

ndarray

nearest_probability_distribution()

Nearest probability distribution over collection

Returns:

Collection of ProbDistributions.

Return type:

ProbCollection

property shots

Number of shots taken over collection.

Returns:

Array of shots values.

Return type:

ndarray

stddev()

Standard deviation over entire collection.

Returns:

Array of standard deviations.

Return type:

ndarray