English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

A universal programmable discriminator can perform the discrimination betweentwo unknown states, and the optimal solution can be approached via thediscrimination between the two averages over the uniformly distributed unknowninput pure states, which has been widely discussed in previous works. In thispaper, we consider the success probabilities of the optimal universalprogrammable unambiguous discriminators when applied to the pure input states.More precisely, the analytic results of the success probabilities are derivedwith the expressions of the optimal measurement operators for the universaldiscriminators and we find that the success probabilities have nothing to dowith the dimension d while the amounts of the copies in the two programregisters are equal. The success probability of programmable unambiguousdiscriminator can asymptoticly approach to that of usual unambiguousdiscrimination (state comparison) as the number of copies in program registers(data register) goes to infinity.

Success probabilities for universal unambiguous discriminators between unknown pure states