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Maria Kvashchuk, Polina Chernyshova, Lucas E. A. Porto, Ties-A. Ohst, Lucas B. Vieira, Marco Túlio Quintino (Apr 30 2026).
Abstract: This work investigates which sets of quantum states give rise to the highest achievable success probability in minimum-error state discrimination if multiple copies of the unknown state are given. Specifically, we consider uniformly distributed ensembles of the form {1N,ρik}i=1N\left\{\frac{1}{N},\rho_i^{\otimes k}\right\}_{i=1}^N, where NN states in dimension dd are provided in kk identical copies, and derive universal limits in this scenario. For pure state ensembles, we prove that whenever NN is large enough to support a state kk-design, these designs will exactly give rise to the maximally discriminable sets. We further show that when NN exceeds the size required for a kk-design, mixed states can outperform all pure state ensembles. We also analyse the analogue classical discrimination problems, in which states are replaced by probability distributions. We recognise that the problem of most discriminable classical states in the multi-copy regime is in one-to-one correspondence to the concept of the multiplicative Bayes capacity of independent uses of classical channels, a concept that emerges naturally in the context of classical information leakage. This connection allows us to completely solve the classical analogue of our problem when N(d+k1k)N\geq \binom{d + k - 1}{k}, and to prove that quantum systems offer a quadratic advantage (in number of copies kk) over classical ones. Curiously, we also show that this quantum advantage is strongly reduced when one is restricted to real quantum states. Finally, we introduce computational techniques to find sets of most discriminable ensembles, and to obtain rigorous universal upper bounds on the maximal success probability for multi-copy state discrimination in cases that are analytically intractable.

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