论文标题
带有贝叶斯错误跟踪的基于奇偶校验编码的量子计算
Parity-encoding-based quantum computing with Bayesian error tracking
论文作者
论文摘要
线性光学系统中的基于测量的量子计算（MBQC）对于近距离量子计算体系结构有希望。但是，纠缠操作和光子损失的非确定性性质阻碍了图形态的大规模生成并引入逻辑错误。在这项工作中，我们提出了一种基于奇偶校验编码的多光量盘的线性光学拓扑MBQC协议，即使在不可避免地腐败的附近Qubits的效果下，该均值也是高度光子损失的耐受性和资源效率。对于现实的错误分析，我们引入了贝叶斯方法，并结合稳定剂形式主义，以跟踪由于这种有害效应而引起的错误。我们还为构建任意图状态的过程提出了图理论优化方案，该方案大大降低了其资源开销。值得注意的是，我们证明，就故障耐受性，资源开销或基本元素的可行性而言，我们的协议比其他几种现有方法是有利的。
Measurement-based quantum computing (MBQC) in linear optical systems is promising for near-future quantum computing architecture. However, the nondeterministic nature of entangling operations and photon losses hinder the large-scale generation of graph states and introduce logical errors. In this work, we propose a linear optical topological MBQC protocol employing multiphoton qubits based on the parity encoding, which turns out to be highly photon-loss tolerant and resource-efficient even under the effects of nonideal entangling operations that unavoidably corrupt nearby qubits. For the realistic error analysis, we introduce a Bayesian methodology, in conjunction with the stabilizer formalism, to track errors caused by such detrimental effects. We additionally suggest a graph-theoretical optimization scheme for the process of constructing an arbitrary graph state, which greatly reduces its resource overhead. Notably, we show that our protocol is advantageous over several other existing approaches in terms of fault-tolerance, resource overhead, or feasibility of basic elements.
