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量子稀疏图码的译码可以由基于错误图样的和积译码算法来实现.本文在此基础上构建了一个新的反馈式迭代译码算法.其反馈策略不仅仅重新利用了错误图样,而且还利用了稳定子上相应元素的值和信道的错误模型.由此,本方法一方面可以克服传统的量子和积译码算法中遇到的所谓对称简并错误,另一方面还能反馈更多的有用信息到译码器中,帮助其产生有效的译码结果,大大提高译码器的译码能力.另外,本算法并没有增加量子测量的复杂度,而是对测量中所能获得的信息的更充分利用.
The decoding of quantum sparse code can be realized by the sum-product decoding algorithm based on the wrong pattern.On the basis of this, a new feedback iterative decoding algorithm is constructed.Its feedback strategy not only reuses the wrong pattern, But also makes use of the value of the corresponding element on the stabilizer and the error model of the channel.Thus, this method can overcome the so-called symmetric degeneracy error encountered in traditional quantum and product decoding algorithms on the one hand and feedback More useful information to the decoder to help it produce an effective decoding results, greatly improving the decoder’s decoding capabilities.In addition, the algorithm does not increase the complexity of the quantum measurement, but the measurement can be obtained The fuller use of information.