The n-shot classical capacity of the quantum erasure channel

Abstract We compute the n -shot classical capacity of the quantum erasure channel, providing upper bounds and almost-matching lower bounds for it, the latter achievable via large-minimum-distance classical linear codes for any n . The protocols are in full product form, i.e. no entanglement is needed either at the encoder or decoder to attain the capacity, and they explicitly adapt to the transition between different error regimes as the erasure probability increases. Finally, we show that our upper and lower bounds on the capacity are tighter than those obtainable from the general theory of finite-size capacity via generalized divergences.

Authors

Publication Details

Journal
Journal of Physics Communications
Published
2024-08-01
DOI
https://doi.org/10.1088/2399-6528/ad6f6b
Citations
1
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
0.35

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The n-shot classical capacity of the quantum erasure channel

Matteo Rosati
1 citations
Journal of Physics Communications
Quantum Computing Algorithms and Architecture
0.35
article

The n-shot classical capacity of the quantum erasure channel

Matteo Rosati
article en
1 citations

Abstract

Abstract We compute the n -shot classical capacity of the quantum erasure channel, providing upper bounds and almost-matching lower bounds for it, the latter achievable via large-minimum-distance classical linear codes for any n . The protocols are in full product form, i.e. no entanglement is needed either at the encoder or decoder to attain the capacity, and they explicitly adapt to the transition between different error regimes as the erasure probability increases. Finally, we show that our upper and lower bounds on the capacity are tighter than those obtainable from the general theory of finite-size capacity via generalized divergences.

Journal of Physics CommunicationsVol. 8(8)
Ministero dell'Università e della Ricerca
Openalex Percentile: Top 35%
Quantum Computing Algorithms and Architecture
0.35
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.