A folded surface code architecture for 2D quantum hardware

IF 9 1区 物理与天体物理 Q1 PHYSICS, APPLIED
Zhu Sun, Zhenyu Cai
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引用次数: 0

Abstract

Qubit shuttling has become an indispensable ingredient for scaling leading quantum computing platforms, including semiconductor spin, neutral-atom, and trapped-ion qubits, enabling both crosstalk reduction and tighter integration of control hardware. ref. 1 proposed a scalable architecture that employs short-range shuttling to realize effective three-dimensional connectivity on a strictly two-dimensional device. Building on recent advances in quantum error correction, we show that this architecture enables the native implementation of folded surface codes on 2D hardware, reducing the runtime of all single-qubit logical Clifford gates and logical CNOTs within subsets of qubits from \({\mathcal{O}}(d)\) in conventional surface code lattice surgery to constant time. We present explicit protocols for these operations and demonstrate that access to a transversal S gate reduces the spacetime volume of 8T-to-CCZ magic-state distillation by more than an order of magnitude compared with standard 2D lattice surgery approaches. Finally, we introduce a new “virtual-stack” layout that more efficiently exploits the quasi-three-dimensional structure of the architecture, enabling efficient multilayer routing on these two-dimensional devices.
二维量子硬件的折叠面代码结构
量子比特穿梭已成为扩展领先量子计算平台(包括半导体自旋、中性原子和捕获离子量子比特)不可或缺的组成部分,可实现串扰减少和控制硬件的更紧密集成。参考文献1提出了一种可扩展的架构,利用短程穿梭在严格的二维设备上实现有效的三维连接。基于量子纠错方面的最新进展,我们表明该架构能够在2D硬件上本地实现折叠表面代码,将所有单量子比特逻辑Clifford门和量子比特子集内的逻辑cnet的运行时间从传统表面代码晶格手术中的\({\mathcal{O}}(d)\)减少到常数时间。我们提出了这些操作的明确协议,并证明与标准的二维晶格手术方法相比,使用横向S栅极可以将8T-to-CCZ魔态蒸馏的时空体积减少一个数量级以上。最后,我们引入了一种新的“虚拟堆栈”布局,它更有效地利用了架构的准三维结构,在这些二维设备上实现了高效的多层路由。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
npj Quantum Information
npj Quantum Information Computer Science-Computer Science (miscellaneous)
CiteScore
13.70
自引率
3.90%
发文量
130
审稿时长
29 weeks
期刊介绍: The scope of npj Quantum Information spans across all relevant disciplines, fields, approaches and levels and so considers outstanding work ranging from fundamental research to applications and technologies.
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