Memory system using quantum convolutional code
A quantum and qubit technology, applied in the field of quantum computing, can solve problems such as high-fidelity loss rate or degradation rate, and achieve the effect of improving reliability and slowing down the effective degradation rate
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[0012] Some embodiments may benefit from at least some of the features disclosed in U.S. Patent Nos. 8,324,120, 8,633,092, 8,987,703, 9,286,154, 9,762,262, and 9,944,520, all of which are incorporated by reference in their entirety incorporated into this article.
[0013] Traditional convolutional codes generate error-correcting codes for encoded symbols via sliding application of a Boolean polynomial function to a data stream. The sliding application denotes the "convolution" of the encoder on the data, which is reflected in the code name (ie, "convolutional code"). The sliding nature of convolutional codes facilitates trellis decoding, where the corresponding trellis is time-invariant. The time-invariant trellis allows decoding of convolutional codes using maximum-likelihood soft-decision decoding implemented with practical circuits of tractable complexity.
[0014] In contrast, block error correction codes are usually represented by a time-varying trellis and thus, are us...
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