通过测量代码启发的观测值进行稳健的投影测量

IF 6.6 1区 物理与天体物理 Q1 PHYSICS, APPLIED npj Quantum Information Pub Date : 2024-10-26 DOI:10.1038/s41534-024-00904-y
Yingkai Ouyang
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引用次数: 0

摘要

量子测量在量子信息处理任务中无处不在,但错误会导致其输出不可靠。在这里,我们提出了一种通过测量代码启发的可观测变量来实现稳健投影测量的方案。也就是说,给定一个投影 POVM、一个经典代码以及对每个观测值测量结果数量的限制,我们就能构造出换算观测值,其测量结果等同于无噪声环境下的投影测量结果。此外,如果经典编码能纠正 t 个错误,我们就能纠正观测值测量经典结果上的 t 个错误。由于我们的方案不需要将量子数据编码到量子纠错码上,因此有助于为不使用量子纠错的近期量子算法构建稳健的测量。此外,我们的方案适用于任何投影 POVM,因此可以在非稳定器量子纠错码中实现稳健的综合征提取程序。
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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Robust projective measurements through measuring code-inspired observables

Quantum measurements are ubiquitous in quantum information processing tasks, but errors can render their outputs unreliable. Here, we present a scheme that implements a robust projective measurement through measuring code-inspired observables. Namely, given a projective POVM, a classical code, and a constraint on the number of measurement outcomes each observable can have, we construct commuting observables whose measurement is equivalent to the projective measurement in the noiseless setting. Moreover, we can correct t errors on the classical outcomes of the observables’ measurement if the classical code corrects t errors. Since our scheme does not require the encoding of quantum data onto a quantum error correction code, it can help construct robust measurements for near-term quantum algorithms that do not use quantum error correction. Moreover, our scheme works for any projective POVM, and hence can allow robust syndrome extraction procedures in non-stabilizer quantum error correction codes.

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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
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