Convolutional Entanglement Distillation

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 imported classical convolutional code does not have to be dual-containing or self-orthogonal. 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. A convolutional entanglement distillation protocol has several other benefits. Two parties sharing noisy ebits can distill noiseless ebits ``online'' as they acquire more noisy ebits. Distillation yield is high and decoding complexity is simple for a convolutional entanglement distillation protocol. Our theory of convolutional entanglement distillation reduces the problem of finding a good convolutional entanglement distillation protocol to the well-established problem of finding a good classical convolutional code.

17 pages, 7 figures, 1 table - minor corrections to text and figures

References in corpus (3)

• Correcting Quantum Errors with Entanglement
• Non-catastrophic Encoders and Encoder Inverses for Quantum Convolutional Codes
• Efficiently implementable codes for quantum key expansion

Cited by in corpus (5)

• Unified Quantum Convolutional Coding
• Quantum Convolutional Coding with Shared Entanglement: General Structure
• Entanglement Purification with Quantum LDPC Codes and Iterative Decoding
• A Construction of MDS Quantum Convolutional Codes
• Minimal memory requirements for pearl-necklace encoders of quantum convolutional codes