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arXiv quant-ph/0606199quant-ph
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存在监控错误时图状态增长的自适应策略

Adaptive strategies for graph state growth in the presence of monitored errors

Earl T. Campbell, Joseph Fitzsimons, Simon C. Benjamin, Pieter Kok

摘要:

图态(或簇态)是实现单向量子计算的纠缠资源。它们可以通过对分量量子比特的投影测量来生长。这样的测量通常具有显著的故障概率。此外,它们可能产生不完美的纠缠。在这里,我们描述的战略,以适应增长的业务,以取消发生的错误。最初偏离理想图状态的新生状态朝着期望的高保真度资源发展,而没有不切实际的开销。我们的分析扩展了图形状态的图形语言,包括倾斜的顶点,加权边缘,部分融合,这是从实验的不完善性。我们提出的策略是相关的奇偶投影方案,如光学的“路径擦除”与分布式物质量子位。

英文摘要:

Graph states (or cluster states) are the entanglement resource that enables one-way quantum computing. They can be grown by projective measurements on the component qubits. Such measurements typically carry a significant failure probability. Moreover, they may generate imperfect entanglement. Here we describe strategies to adapt growth operations in order to cancel incurred errors. Nascent states that initially deviate from the ideal graph states evolve toward the desired high fidelity resource without impractical overheads. Our analysis extends the diagrammatic language of graph states to include characteristics such as tilted vertices, weighted edges, and partial fusion, which arise from experimental imperfections. The strategies we present are relevant to parity projection schemes such as optical `path erasure' with distributed matter qubits.

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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