Minimal-Memory, Noncatastrophic, Polynomial-Depth Quantum Convolutional Encoders

Monireh Houshmand, Saied Hosseini-Khayat, Mark M. Wilde
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
more » ... or finding an encoder of an arbitrary quantum convolutional code such that the encoder possesses these desirable properties. We also provide an elementary proof that these encoders are non-recursive. Finally, we apply our technique to many quantum convolutional codes from the literature.
doi:10.1109/tit.2012.2220520 fatcat:x5guauemorgzvfoe52xla7ampi