The assignment matrix collects prepared-state count rows into a readout model that maps truth labels to observed labels. The table is exact only for the stated calibration counts; real matrices can change with drift, crosstalk, detector noise, leakage, threshold tuning, and limited sample size.
The two prepared-state rows form an exact readout assignment matrix. Exact arithmetic here means exact results for the stated model inputs; measured inputs still carry uncertainty and significant-figure limits.
highlighted = computed this step
The rows form an assignment matrix
The matrix rows are 9/10, 1/10 and 1/5, 4/5.
A=[1095110154]
Each calibration row has one probability budget
Each row sums to 1. The table is not freehand text; the render boundary recomputes the rows.