Unambiguous Discrimination Between Mixed Quantum States Based on Programmable Quantum State Discriminators

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Abstract

We discuss the problem of designing an unambiguous programmable discriminator for mixed quantum states. We prove that there does not exist such a universal unambiguous programmable discriminator for mixed quantum states that has two program registers and one data register. However, we find that we can use the idea of programmable discriminator to unambiguously discriminate mixed quantum states. The research shows that by using such an idea, when the success probability for discrimination reaches the upper bound, the success probability is better than what we do not use the idea to do, except for some special cases.

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Qiu, D., Gan, H., Cai, G., & Paulo, M. (2018). Unambiguous Discrimination Between Mixed Quantum States Based on Programmable Quantum State Discriminators. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10956 LNAI, pp. 700–709). Springer Verlag. https://doi.org/10.1007/978-3-319-95957-3_72

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