qcut_processing_fn_mc(results: Sequence, communication_graph: networkx.classes.multidigraph.MultiDiGraph, settings: numpy.ndarray, shots: int, classical_processing_fn: callable)¶
Function to postprocess samples for the
cut_circuit_mc()transform. This takes a user-specified classical function to act on bitstrings and generates an expectation value.
This function is designed for use as part of the sampling-based circuit cutting workflow. Check out the
qml.cut_circuit_mc()transform for more details.
results (Sequence) – a collection of sample-based execution results generated from the random expansion of circuit fragments over measurement and preparation node configurations
communication_graph (nx.MultiDiGraph) – the communication graph determining connectivity between circuit fragments
settings (np.ndarray) – Each element is one of 8 unique values that tracks the specific measurement and preparation operations over all configurations. The number of rows is determined by the number of cuts and the number of columns is determined by the number of shots.
shots (int) – the number of shots
classical_processing_fn (callable) – A classical postprocessing function to be applied to the reconstructed bitstrings. The expected input is a bitstring; a flat array of length
wiresand the output should be a single number within the interval \([-1, 1]\).
the expectation value calculated in accordance to Eq. (35) of Peng et al.
- Return type
float or tensor_like
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