AI RESEARCH
Sample Complexity of Composite Quantum Hypothesis Testing
arXiv CS.LG
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ArXi:2601.08588v4 Announce Type: replace-cross This paper investigates symmetric composite binary quantum hypothesis testing (QHT), where the goal is to determine which of two uncertainty sets contains an unknown quantum state. While asymptotic error exponents for this problem are well-studied, the finite-sample regime remains poorly understood. We bridge this gap by characterizing the sample complexity -- the minimum number of state copies required to achieve a target error level. Specifically, we derive lower bounds that generalize the sample complexity of simple QHT and.