estimate_confusion_matrix

forest.benchmarking.readout.estimate_confusion_matrix(qc: pyquil.api._quantum_computer.QuantumComputer, qubit: int, num_shots: int = 10000) → numpy.ndarray

Estimate the readout confusion matrix for a given qubit.

The confusion matrix will be of the form:

[[ p(0 | 0)     p(0 | 1) ]
 [ p(1 | 0)     p(1 | 1) ]]

where each column sums to one. Note that the matrix need not be symmetric.

Parameters:

• qc – The quantum computer to estimate the confusion matrix.
• qubit – The actual physical qubit to measure
• num_shots – The number of shots to take. This function runs two programs, so the total number of shots taken will be twice this number.

Returns:

a 2x2 confusion matrix for the qubit, where each row sums to one.