DocumentCode :
2513847
Title :
Unified quantum convolutional coding
Author :
Wilde, Mark M. ; Brun, Todd A.
Author_Institution :
Ming Hsieh Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA
fYear :
2008
fDate :
6-11 July 2008
Firstpage :
359
Lastpage :
363
Abstract :
We outline a quantum convolutional coding technique for protecting a stream of classical bits and qubits. Our goal is to provide a framework for designing codes that approach the "grandfather" capacity of an entanglement-assisted quantum channel for sending classical and quantum information simultaneously. Our method incorporates several resources for quantum redundancy: fresh ancilla qubits, entangled bits, and gauge qubits. The use of these diverse resources gives our technique the benefits of both active and passive quantum error correction. We can encode a classical-quantum bit stream with periodic quantum gates because our codes possess a convolutional structure. We end with an example of a "grandfather" quantum convolutional code that protects one qubit and one classical bit per frame by encoding them with one fresh ancilla qubit, one entangled bit, and one gauge qubit per frame. We explicitly provide the encoding and decoding circuits for this example and discuss its error-correcting capability.
Keywords :
convolution; decoding; encoding; error correction; quantum entanglement; quantum gates; ancilla qubits; classical bits; classical-quantum bit stream; decoding circuits; encoding circuits; entangled bits; entanglement-assisted quantum channel; error correction; gauge qubits; grandfather quantum convolutional codes; periodic quantum gates; quantum error correction; quantum information; quantum redundancy; unified quantum convolutional coding; Convolutional codes; Decoding; Error correction; Periodic structures; Protection; Protocols; Quantum entanglement; Quantum mechanics; Redundancy; Working environment noise; entanglement-assisted quantum convolutional codes; grandfather quantum convolutional codes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory, 2008. ISIT 2008. IEEE International Symposium on
Conference_Location :
Toronto, ON
Print_ISBN :
978-1-4244-2256-2
Electronic_ISBN :
978-1-4244-2257-9
Type :
conf
DOI :
10.1109/ISIT.2008.4595008
Filename :
4595008
Link To Document :
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