2,328 research outputs found
Sparse Graph Codes for Quantum Error-Correction
We present sparse graph codes appropriate for use in quantum
error-correction. Quantum error-correcting codes based on sparse graphs are of
interest for three reasons. First, the best codes currently known for classical
channels are based on sparse graphs. Second, sparse graph codes keep the number
of quantum interactions associated with the quantum error correction process
small: a constant number per quantum bit, independent of the blocklength.
Third, sparse graph codes often offer great flexibility with respect to
blocklength and rate. We believe some of the codes we present are unsurpassed
by previously published quantum error-correcting codes.Comment: Version 7.3e: 42 pages. Extended version, Feb 2004. A shortened
version was resubmitted to IEEE Transactions on Information Theory Jan 20,
200
Entanglement-Assisted Quantum Quasi-Cyclic Low-Density Parity-Check Codes
We investigate the construction of quantum low-density parity-check (LDPC)
codes from classical quasi-cyclic (QC) LDPC codes with girth greater than or
equal to 6. We have shown that the classical codes in the generalized
Calderbank-Shor-Steane (CSS) construction do not need to satisfy the
dual-containing property as long as pre-shared entanglement is available to
both sender and receiver. We can use this to avoid the many 4-cycles which
typically arise in dual-containing LDPC codes. The advantage of such quantum
codes comes from the use of efficient decoding algorithms such as sum-product
algorithm (SPA). It is well known that in the SPA, cycles of length 4 make
successive decoding iterations highly correlated and hence limit the decoding
performance. We show the principle of constructing quantum QC-LDPC codes which
require only small amounts of initial shared entanglement.Comment: 8 pages, 1 figure. Final version that will show up on PRA. Minor
changes in contents and Titl
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