早期FTQC中成本最优量子误差缓解的对称Clifford旋转

IF 8.3 1区 物理与天体物理 Q1 PHYSICS, APPLIED
Kento Tsubouchi, Yosuke Mitsuhashi, Kunal Sharma, Nobuyuki Yoshioka
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引用次数: 0

摘要

影响量子门的旋转噪声对于理解和控制误差是必不可少的,但对噪声的适用操作通常受到量子门固有对称性的限制。在这项工作中,我们提出了对称Clifford旋转,这是一种仅利用对称Clifford算子与某些泡利子群交换的Clifford旋转。我们充分描述了每个泡利噪声是如何通过旋转转换的,并表明某些泡利噪声可以被搅合成指数接近全局白噪声的噪声。此外,我们提供了高度结构化电路,如trotter化哈密顿模拟电路的数值证明,噪声对典型观测值的影响可以用全局白噪声来描述。我们进一步证明了仅使用局部对称Clifford算子的对称Clifford旋转及其硬件高效变体可以显著加速置乱。这些发现使我们能够在早期容错机制中以最小的采样开销减轻非clifford操作中的错误。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Symmetric Clifford twirling for cost-optimal quantum error mitigation in early FTQC regime

Symmetric Clifford twirling for cost-optimal quantum error mitigation in early FTQC regime

Twirling noise affecting quantum gates is essential in understanding and controlling errors, but applicable operations to noise are usually restricted by symmetries inherent in quantum gates. In this work, we propose symmetric Clifford twirling, a Clifford twirling utilizing only symmetric Clifford operators that commute with certain Pauli subgroups. We fully characterize how each Pauli noise is converted through the twirling and show that certain Pauli noise can be scrambled to a noise exponentially close to the global white noise. Moreover, we provide numerical demonstrations for highly structured circuits, such as Trotterized Hamiltonian simulation circuits, that noise effect on typical observables can be described by the global white noise. We further demonstrate that symmetric Clifford twirling and its hardware-efficient variant using only local symmetric Clifford operators can significantly accelerate the scrambling. These findings enable us to mitigate errors in non-Clifford operations with minimal sampling overhead in the early fault-tolerant regime.

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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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