mthree.classes.QuasiCollection¶

class QuasiCollection(data)[source]¶

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='')[source]¶

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='')[source]¶

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.

nearest_probability_distribution()[source]¶

Nearest probability distribution over collection

property shots¶

Number of shots taken over collection.

Standard deviation over entire collection.