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Upper bounds on the error probabilities and asymptotic error exponents in quantum multiple state discrimination

机译:量子多态判别中的误差概率和渐近误差指数的上限

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We consider the multiple hypothesis testing problem for symmetric quantum state discrimination between r given states sigma(1), ..., sigma(r). By splitting up the overall test into multiple binary tests in various ways we obtain a number of upper bounds on the optimal error probability in terms of the binary error probabilities. These upper bounds allow us to deduce various bounds on the asymptotic error rate, for which it has been hypothesized that it is given by the multi-hypothesis quantum Chernoff bound (or Chernoff divergence) C(sigma(1), ..., sigma(r)), as recently introduced by Nussbaum and Szkola in analogy with Salikhov's classical multi-hypothesis Chernoff bound. This quantity is defined as the minimum of the pairwise binary Chernoff divergences min(j
机译:我们考虑了r个给定状态sigma(1),...,sigma(r)之间的对称量子态鉴别的多重假设检验问题。通过以各种方式将整体测试分成多个二进制测试,我们根据二进制错误概率获得了最佳错误概率的多个上限。这些上限使我们能够推断渐近误差率的各种边界,据此假设它是由多重假设量子切尔诺夫界(或切尔诺夫散度)C(sigma(1),...,sigma)给出的。 (r)),最近由Nussbaum和Szkola引入,类似于Salikhov的经典多重假设Chernoff界。该量被定义为成对的二元切尔诺夫散度min(j

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