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

Quantum Internet relies on quantum entanglement as a fundamental resource forsecure and efficient quantum communication, reshaping data transmission. Inthis context, entanglement distillation emerges as a crucial process that playsa pivotal role in realizing the full potential of the quantum internet.Nevertheless, it remains challenging to accurately estimate the distillableentanglement and its closely related essential quantity, the quantum capacity.In this work, we consider a general resource measure known as the reversedivergence of resources which quantifies the minimum divergence between atarget state and the set of free states. Leveraging this measure, we proposemethods for evaluating both quantities by squeezing out useless entanglementwithin a state or a quantum channel, whose contributions are expected to beignored for the distillable entanglement or the quantum capacity, respectively.Our method has practical applications for purifying maximally entangled statesunder practical noises, such as depolarizing and amplitude damping noises,leading to improvements in estimating the one-way distillable entanglement.Furthermore, we provide valuable benchmarks for evaluating the quantumcapacities of qubit quantum channels, including the Pauli channels and therandom mixed unitary channels.

Estimate distillable entanglement and quantum capacity by squeezing useless entanglement