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arXiv 1912.00829quant-ph
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Gottesman-Kitaev-Preskill近似码的记忆辅助译码器

Memory-assisted decoder for approximate Gottesman-Kitaev-Preskill codes

Kwok Ho Wan, Alex Neville, W. S. Kolthammer

摘要:

基于Glancy和Knill [Phys. Rev. A { \bf 73},012325(2006)]的方案,我们提出了一个针对连续变量有限能量近似Gottesman-Kitaev-Preskill(GKP)态的量子纠错方案.我们表明,将多轮错误综合征提取与贝叶斯估计相结合,可以增强对GKP编码量子比特的保护,而不是可比的单轮方法。此外,我们表明,预期的总位移误差发生在多轮的错误,然后由伴随式提取有界的$2\sqrtπ$。通过重新编译的综合征提取电路,我们表明,所有的压缩操作可以归入辅助状态的准备,减少他们的分束器变换和正交测量。

英文摘要:

We propose a quantum error correction protocol for continuous-variable finite-energy, approximate Gottesman-Kitaev-Preskill (GKP) states undergoing small Gaussian random displacement errors, based on the scheme of Glancy and Knill [Phys. Rev. A {\bf 73}, 012325 (2006)]. We show that combining multiple rounds of error-syndrome extraction with Bayesian estimation offers enhanced protection of GKP-encoded qubits over comparible single-round approaches. Furthermore, we show that the expected total displacement error incurred in multiple rounds of error followed by syndrome extraction is bounded by $2\sqrtπ$. By recompiling the syndrome-extraction circuits, we show that all squeezing operations can be subsumed into auxiliary state preparation, reducing them to beamsplitter transformations and quadrature measurements.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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