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Hard decoding algorithm for optimizing thresholds under general Markovian noise
2017
Physical Review A
Quantum error correction is instrumental in protecting quantum systems from noise in quantum computing and communication settings. Pauli channels can be efficiently simulated and threshold values for Pauli error rates under a variety of error-correcting codes have been obtained. However, realistic quantum systems can undergo noise processes that differ significantly from Pauli noise. In this paper, we present an efficient hard decoding algorithm for optimizing thresholds and lowering failure
doi:10.1103/physreva.95.042332
fatcat:chzd4nszrzab5a52cuhvydew44