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Combining Topological Hardware and Topological Software: Color-Code Quantum Computing with Topological Superconductor Networks

机译:结合拓扑硬件和拓扑软件:使用拓扑超导体网络的颜色码量子计算

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We present a scalable architecture for fault-tolerant topological quantum computation using networks of voltage-controlled Majorana Cooper pair boxes and topological color codes for error correction. Color codes have a set of transversal gates which coincides with the set of topologically protected gates in Majorana-based systems, namely, the Clifford gates. In this way, we establish color codes as providing a natural setting in which advantages offered by topological hardware can be combined with those arising from topological error-correcting software for full-fledged fault-tolerant quantum computing. We provide a complete description of our architecture, including the underlying physical ingredients. We start by showing that in topological superconductor networks, hexagonal cells can be employed to serve as physical qubits for universal quantum computation, and we present protocols for realizing topologically protected Clifford gates. These hexagonal-cell qubits allow for a direct implementation of open-boundary color codes with ancilla-free syndrome read-out and logical T gates via magic-state distillation. For concreteness, we describe how the necessary operations can be implemented using networks of Majorana Cooper pair boxes, and we give a feasibility estimate for error correction in this architecture. Our approach is motivated by nanowire-based networks of topological superconductors, but it could also be realized in alternative settings such as quantum-Hall–superconductor hybrids.
机译:我们使用电压控制的Majorana Cooper对盒和拓扑颜色码的网络呈现可扩展的拓扑拓扑量子计算,用于纠错。彩色代码具有一组横向栅极,它与基于Majorana的系统中的一组拓扑保护的栅极吻合,即克利福德门。通过这种方式,我们建立彩色代码,提供一种自然设置,其中拓扑硬件提供的优点可以与拓扑纠错软件引发的那些,以实现全剥离容错量子计算。我们提供了对我们建筑的完整描述,包括底层物理成分。我们首先表明,在拓扑超导体网络中,可以采用六边形电池作为通用量子计算的物理额度,并且我们提供了用于实现拓扑保护的克利福德门的协议。这些六边形细胞QUBITS允许通过魔术状态蒸馏使用辅助自由综合征读出和逻辑T门的开放边界颜色码。为了具体性,我们描述了如何使用Majorana Cooper对盒的网络来实现必要的操作,并且我们为此架构中的纠错提供了可行性估计。我们的方法是由基于纳米线的拓扑超导体网络的激励,但也可以在诸如量子霍尔超导体混合的替代设置中实现。

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