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

We describe a method for lossless quantum compression if the output of theinformation source is not known. We compute the best possible compression rate,minimizing the expected base length of the output quantum bit string (the baselength of a quantum string is the maximal length in the superposition). Thiscomplements work by Schumacher and Westmoreland who calculated thecorresponding rate for minimizing the output's average length.  Our compressed code words are prefix-free indeterminate-length quantum bitstrings which can be concatenated in the case of multiple sources. Therefore,we generalize the known theory of prefix-free quantum codes to the case ofstrings with indeterminate length. Moreover, we describe a communication modelwhich allows the lossless transmission of the compressed code words. Thebenefit of compression is then the reduction of transmission errors in thepresence of noise.

Lossless Quantum Prefix Compression for Communication Channels that are Always Open