Logical Noise Bias in Magic State Injection

IF 5.1 2区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY
Quantum Pub Date : 2025-06-24 DOI:10.22331/q-2025-06-24-1779
Nicholas Fazio, Robin Harper, Stephen D. Bartlett
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引用次数: 0

Abstract

Fault-tolerant architectures aim to reduce the noise of a quantum computation. Despite such architectures being well studied a detailed understanding of how noise is transformed in a fault-tolerant primitive such as magic state injection is currently lacking. We use numerical simulations of logical process tomography on a fault-tolerant gadget that implements a logical $T = Z(\pi/4)$ gate using magic state injection, to understand how noise characteristics at the physical level are transformed into noise characteristics at the logical level. We show how, in this gadget, a significant phase ($Z$) bias can arise in the logical noise, even with unbiased noise at the physical level. While the magic state injection gadget intrinsically induces biased noise, with extant phase bias being further amplified at the logical level, we identify noisy error correction circuits as a key limiting factor in the circuits studied on the magnitude of this logical noise bias. Our approach provides a framework for assessing the detailed noise characteristics, as well as the overall performance, of fault-tolerant logical primitives.
魔态注入中的逻辑噪声偏差
容错架构旨在降低量子计算的噪声。尽管这样的体系结构已经得到了很好的研究,但目前还缺乏对噪声如何在容错原语(如魔力状态注入)中转换的详细理解。我们在一个容错小工具上使用逻辑过程断层扫描的数值模拟,该小工具使用魔幻状态注入实现逻辑$T = Z(\pi/4)$门,以了解物理层的噪声特性如何转换为逻辑层的噪声特性。在这个小工具中,我们展示了如何在逻辑噪声中产生显著的相位($Z$)偏置,即使在物理级具有无偏置噪声。由于魔态注入装置在本质上诱发了偏置噪声,并在逻辑层面上进一步放大了现有的相位偏置,因此我们认为噪声纠错电路是研究这种逻辑噪声偏置大小的电路中的一个关键限制因素。我们的方法提供了一个框架,用于评估容错逻辑原语的详细噪声特征以及整体性能。
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
Quantum
Quantum Physics and Astronomy-Physics and Astronomy (miscellaneous)
CiteScore
9.20
自引率
10.90%
发文量
241
审稿时长
16 weeks
期刊介绍: Quantum is an open-access peer-reviewed journal for quantum science and related fields. Quantum is non-profit and community-run: an effort by researchers and for researchers to make science more open and publishing more transparent and efficient.
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