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Minimal-Memory, Noncatastrophic, Polynomial-Depth Quantum Convolutional Encoders
2013
IEEE Transactions on Information Theory
Quantum convolutional coding is a technique for encoding a stream of quantum information before transmitting it over a noisy quantum channel. Two important goals in the design of quantum convolutional encoders are to minimize the memory required by them and to avoid the catastrophic propagation of errors. In a previous paper, we determined minimal-memory, non-catastrophic, polynomial-depth encoders for a few exemplary quantum convolutional codes. In this paper, we elucidate a general technique
doi:10.1109/tit.2012.2220520
fatcat:x5guauemorgzvfoe52xla7ampi