qiskit.ignis.verification.lookuptable_decoding

lookuptable_decoding(training_results, real_results)

Calculates the logical error probability using postselection decoding. This postselects all results with trivial syndrome.

Parameters

• training_results (dict) – A results dictionary, as produced by the process_results method of a code.
• real_results (dict) – A results dictionary, as produced by the process_results method of a code.

Returns

Dictionary of logical error probabilities for

each of the encoded logical states whose results were given in the input.

Return type

dict

Additional information:

Given a two dictionaries of results, as produced by a code object, thelogical error probability is calculated for lookup table decoding. This is done using training_results as a guide to which syndrome is most probable for each logical value, and the probability is calculated for the results in real_results.