利用博索尼克猫码和单光子的混合质子进行容错量子计算

Jaehak Lee, Nuri Kang, Seok-Hyung Lee, Hyunseok Jeong, Liang Jiang, Seung-Woo Lee
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摘要

混合使用不同的自由度或物理平台可能为构建可扩展的量子架构提供各种优势。在这里,我们利用离散变量(DV)和连续变量(CV)系统的优势,介绍了一种容错混合量子计算。特别是,我们定义了一种具有玻色猫码和单光子的 CV-DV 混合量子比特,它可以在当前的光子平台上实现。由于猫码编码在 CV 部分,主要的损耗错误无需多量子比特编码即可轻松纠正,而由于 DV 部分,逻辑基础本质上是正交的。我们通过串联混合量子比特和外层 DV 量子纠错码(如拓扑码)来设计容错架构,探索它们在开发可扩展量子计算中的潜在优势。我们通过数值模拟证明,与之前在光子平台上提出的所有建议相比,我们的方案至少提高了一个数量级的资源效率,使我们在现有的 CV 和混合方法中达到了创纪录的高损耗阈值。我们不仅讨论了在全光子平台上实现我们的方法,还讨论了在其他混合平台(包括超导和俘获离子系统)上实现我们的方法,这使我们能够找到实现容错量子计算的各种高效途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Fault-Tolerant Quantum Computation by Hybrid Qubits with Bosonic Cat Code and Single Photons

Fault-Tolerant Quantum Computation by Hybrid Qubits with Bosonic Cat Code and Single Photons
Hybridizing different degrees of freedom or physical platforms potentially offers various advantages in building scalable quantum architectures. Here, we introduce a fault-tolerant hybrid quantum computation by building on the advantages of both discrete-variable (DV) and continuous-variable (CV) systems. In particular, we define a CV-DV hybrid qubit with a bosonic cat code and a single photon, which is implementable in current photonic platforms. Due to the cat code encoded in the CV part, the predominant loss errors are readily correctable without multiqubit encoding, while the logical basis is inherently orthogonal due to the DV part. We design fault-tolerant architectures by concatenating hybrid qubits and an outer DV quantum error-correction code such as a topological code, exploring their potential merit in developing scalable quantum computation. We demonstrate by numerical simulations that our scheme is at least an order of magnitude more resource efficient compared to all previous proposals in photonic platforms, allowing us to achieve a record-high loss threshold among existing CV and hybrid approaches. We discuss the realization of our approach not only in all-photonic platforms but also in other hybrid platforms including superconducting and trapped-ion systems, which allows us to find various efficient routes toward fault-tolerant quantum computing.
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