高于容错阈值的谐振驱动 CNOT 栅极的哈密顿相位误差

IF 9 1区 物理与天体物理 Q1 PHYSICS, APPLIED npj Quantum Information Pub Date : 2024-01-11 DOI:10.1038/s41534-023-00802-9
Yi-Hsien Wu, Leon C. Camenzind, Akito Noiri, Kenta Takeda, Takashi Nakajima, Takashi Kobayashi, Chien-Yuan Chang, Amir Sammak, Giordano Scappucci, Hsi-Sheng Goan, Seigo Tarucha
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引用次数: 0

摘要

电子自旋量子比特具有相干时间长、与工业代工工艺兼容等特点,是可扩展量子处理器的理想平台。成熟的量子计算机需要量子纠错,这就需要高保真量子门。分析和减轻栅极误差有助于提高栅极保真度。在这里,我们展示了一种简单而可靠的校准程序,用于硅交换式量子处理器中的高保真受控旋转门,使其能够在量子纠错的容错阈值之上运行。我们发现,未经校准的受控旋转门的保真度受到受控相位形式的相干误差的限制,并提出了一种测量和纠正这些相位误差的方法。然后,我们通过随机基准和门集层析协议验证了门保真度的提高。最后,我们利用相位校正协议实现了一个虚拟的高保真受控相位门。
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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Hamiltonian phase error in resonantly driven CNOT gate above the fault-tolerant threshold

Because of their long coherence time and compatibility with industrial foundry processes, electron spin qubits are a promising platform for scalable quantum processors. A full-fledged quantum computer will need quantum error correction, which requires high-fidelity quantum gates. Analyzing and mitigating gate errors are useful to improve gate fidelity. Here, we demonstrate a simple yet reliable calibration procedure for a high-fidelity controlled-rotation gate in an exchange-always-on Silicon quantum processor, allowing operation above the fault-tolerance threshold of quantum error correction. We find that the fidelity of our uncalibrated controlled-rotation gate is limited by coherent errors in the form of controlled phases and present a method to measure and correct these phase errors. We then verify the improvement in our gate fidelities by randomized benchmark and gate-set tomography protocols. Finally, we use our phase correction protocol to implement a virtual, high-fidelity, controlled-phase gate.

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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.
期刊最新文献
Asynchronous multi-photon interference for quantum networks The role of data-induced randomness in quantum machine learning classification tasks A unified optical platform for non-Gaussian and fault-tolerant Gottesman-Kitaev-Preskill states Advantage of quantum machine learning from general computational advantages A hybrid Anyon-otto thermal machine
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