InterleavedRBFitter.fit_data

InterleavedRBFitter.fit_data()

Fit the interleaved RB results. Fit each of the patterns.

According to the paper: “Efficient measurement of quantum gate error by interleaved randomized benchmarking” (arXiv:1203.4550) - Equations (4) and (5).

Puts the results into a list of fit dictionaries: where each dictionary corresponds to a pattern and has fields:

• ‘epc_est’ - the estimated error per the interleaved Clifford.

• ‘epc_est_error’ - the estimated error derived from the params_err.

• ‘systematic_err’ - systematic error bound of epc_est.

• ‘systematic_err_L’ = epc_est - systematic_err (left error bound).

• ‘systematic_err_R’ = epc_est + systematic_err (right error bound).