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 Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

We propose a quantum algorithm (in the form of a quantum oracle) thatestimates the closeness of a given Boolean function to one that satisfies the``strict avalanche criterion'' (SAC). This algorithm requires $n$ queries ofthe Boolean function oracle, where $n$ is the number of input variables, thisis fewer than the queries required by the classical algorithm to perform thesame task. We compare our approach with other quantum algorithms that may beused for estimating the closeness to SAC and it is shown our algorithm verifiesSAC with the fewest possible calls to quantum oracle and requires the fewestsamples for a given confidence bound.

A quantum algorithm to estimate the closeness to the Strict Avalanche criterion in Boolean functions