MarginalizeCounts#
- class MarginalizeCounts(qubits_to_keep, validate=True)[source]#
A data action to marginalize count dictionaries.
This data action takes a count dictionary and returns a new count dictionary that is marginalized over a set of specified qubits. For example, given the count dictionary
{"010": 1, "110": 10, "100": 100}this node will return the count dictionary{"10": 11, "00": 100}when marginalized over qubit 2.Note
This data action can be used to discard one or more qubits in the counts dictionary. This is, for example, useful when processing two-qubit restless experiments but can be used in a more general context. In composite experiments the counts marginalization is already done in the data container.
Initialize a counts marginalization node.
- Parameters:
qubits_to_keep (Set[int]) â A set of qubits to retain during the marginalization process.
validate (bool) â If set to False the DataAction will not validate its input.
Methods
- __call__(data)#
Call the data action of this node on the data.
- Parameters:
data (ndarray) â A numpy array with arbitrary dtype. If the elements are ufloat objects consisting of a nominal value and a standard error, then the error propagation is done automatically.
- Returns:
The processed data.
- Return type:
ndarray