2019
DOI: 10.1038/s41534-019-0162-y
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Abstract: What is the ultimate performance for discriminating two arbitrary quantum channels acting on a finite-dimensional Hilbert space? Here we address this basic question by deriving a general and fundamental lower bound. More precisely, we investigate the symmetric discrimination of two arbitrary qudit channels by means of the most general protocols based on adaptive (feedbackassisted) quantum operations. In this general scenario, we first show how port-based teleportation can be used to simplify these adaptive pro… Show more

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Cited by 98 publications
(127 citation statements)
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References 60 publications
(104 reference statements)
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“…which is identical to the classical limit in Eq. (25). Note that this limit is essentially already achieved for SNR ≃ 0.1.…”
Section: Quantum Fisher Information With Noisy Imagingmentioning
confidence: 82%
“…which is identical to the classical limit in Eq. (25). Note that this limit is essentially already achieved for SNR ≃ 0.1.…”
Section: Quantum Fisher Information With Noisy Imagingmentioning
confidence: 82%
“…In principle, we can also regard a quantum channel as the resource object and study the resource theory of channels. This has been done mainly for characterizing a certain property of quantum channels, such as channel simulation [36][37][38][39][40], spatial correlations [41], resource generation [42,43], magic quantification [44,45], entanglement of quantum channels [46,47], channel discrimination [48][49][50], quantum memory [51][52][53], non-Gaussianity [54], and others [55][56][57][58]. Some general conditions that resource theories of channels should satisfy were also formulated [59,60].…”
mentioning
confidence: 99%
“…In this work, we suggest a simple and general scheme of quantify the resourcefulness of quantum channels based on quantum channel discrimination, a fundamental problem in quantum information [31][32][33]. (Note that channel discrimination is already known to play key roles in the characterization of state resources [10,11,[34][35][36].)…”
Section: Introductionmentioning
confidence: 99%