pygsti.tools.rbtools

Tools for analyzing RB data

Functions

adjusted_success_probability(...)	The success probabilitys adjusted by hamming weights.
hamming_distance(bs1, bs2)	TODO: docstring
marginalized_hamming_distance_counts(dsrow, ...)	TODO: docstring
marginalized_success_counts(dsrow, circ, ...)	Marginalize the success counts over qubits.
p_to_r(p, d[, rtype])	Converts an RB decay constant (p) to the RB error rate (r).
r_to_p(r, d[, rtype])	Inverse of the p_to_r function.
rescaling_factor(lengths, quantity[, offset])	Finds a rescaling value alpha that maps the Clifford RB decay constant p to p_(rescaled) = p^(1/alpha).