iq_readout.metrics.get_probs_prep_meas

get_probs_prep_meas(classifiers, *shots)

Returns matrix whose element probs[s,o] corresponds to: p(measured bitstring o | prepared bitstring s), with s and o in the corresponding base 2, 3 or 10.

Parameters:

classifiers

A list of classifiers from the iq_readout package. It can also be a single classifier.

shots: list(np.ndarray(num_qubits, num_shots, 2))

Tuple of shots when preparing all the possible bistrings. The bitstrings should be sorted in the standard binary order, e.g. 000, 001, 010, 011, … In the case that classifiers is a single classifier (not a list), each element of this variable can have shape (num_shots, 2).

Returns:

probs: np.ndarray(2**num_qubits, 2**num_qubits) | np.ndarray(3**num_qubits, 3**num_qubits)

The size of the array depends on the number of states that the classifier can discriminate.