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  4. Entanglement Sharing Across a Damping-Dephasing Channel
 
conference paper

Entanglement Sharing Across a Damping-Dephasing Channel

Siddhu, Vikesh
•
Abdelhadi, Dina  
•
Jochym-O’Connor, Tomas
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July 7, 2024
2024 IEEE International Symposium on Information Theory. Proceedings
2024 IEEE International Symposium on Information Theory

Entanglement distillation is a fundamental information processing task whose implementation is key to quantum communication and modular quantum computing. Noise experienced by such communication and computing platforms occurs not only in the form of Pauli noise such as dephasing (sometimes called T2) but also non-Pauli noise such as amplitude damping (sometimes called T1). We initiate a study of practical and asymptotic distillation over what we call the joint damping-dephasing noise channel. In the practical setting, we propose a distillation scheme that completely isolates away the damping noise. In the asymptotic setting we derive lower bounds on the entanglement sharing capacities including the coherent and reverse coherent information. Like the protocol achieving the reverse coherent information, our scheme uses backward only communication. However for realistic damping noise (T1≠2T2) our strategy can exceed the reverse coherent strategy which is the best known for pure damping. In addition, our companion paper [1] presents evidence showing that the channel displays non-additivity at the 2-letter level.

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Type
conference paper
DOI
10.1109/isit57864.2024.10619242
Author(s)
Siddhu, Vikesh

IBM Research - India

Abdelhadi, Dina  

École Polytechnique Fédérale de Lausanne

Jochym-O’Connor, Tomas

IBM (United States)

Smolin, John A.

IBM (United States)

Date Issued

2024-07-07

Publisher

IEEE

Published in
2024 IEEE International Symposium on Information Theory. Proceedings
DOI of the book
https://doi.org/10.1109/ISIT57864.2024
ISBN of the book

979-8-3503-8284-6

Start page

1432

End page

1437

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LTHC  
Event nameEvent acronymEvent placeEvent date
2024 IEEE International Symposium on Information Theory

Athens, Greece

2024-07-07 - 2024-07-12

FunderFunding(s)Grant NumberGrant URL

U.S. Department of Energy

DE-SC0012704

Available on Infoscience
July 8, 2025
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/252034
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