Convolutional entanglement distillation

Authors

Mark M. Wilde, Université McGill
Hari Krovi, Université McGill
Todd A. Brun, University of Southern California

Document Type

Conference Proceeding

Publication Date

8-23-2010

Abstract

We develop a theory of entanglement distillation that exploits a convolutional coding structure. We provide a method for converting an arbitrary classical binary or quaternary convolutional code into a convolutional entanglement distillation protocol. The yield and error-correcting properties of such a protocol depend respectively on the rate and error-correcting properties of the imported classical convolutional code. In a con-volutional entanglement distillation protocol, two parties sharing noisy ebits can distill noiseless ebits "online" as they acquire more noisy ebits and this online protocol reduces decoding complexity. © 2010 IEEE.

Publication Source (Journal or Book title)

IEEE International Symposium on Information Theory - Proceedings

First Page

2657

Last Page

2661

Recommended Citation

Wilde, M., Krovi, H., & Brun, T. (2010). Convolutional entanglement distillation. IEEE International Symposium on Information Theory - Proceedings, 2657-2661. https://doi.org/10.1109/ISIT.2010.5513666