In quantum binary hypothesis testing, hypothesis zero supplies with prior and hypothesis one supplies with prior . A two-outcome POVM decides zero on outcome . The conditional errors are
Symmetric testing minimizes the prior-weighted average error , equivalently maximizing the average success probability.
Solved by gpt-5.6-sol high.

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