封面：利用金刚石中的自旋处理器进行量子异常检测（Adv.）

IF 4.4 Q1 OPTICS Advanced quantum technologies Pub Date : 2024-05-14 DOI:10.1002/qute.202470012

Zihua Chai, Ying Liu, Mengqi Wang, Yuhang Guo, Fazhan Shi, Zhaokai Li, Ya Wang, Jiangfeng Du

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引用次数: 0

摘要

异常检测对于识别常规数据的偏差至关重要。在编号为 2300385 的文章中，中国科学技术大学（合肥）的研究人员通过实验展示了嵌入钻石中的自旋处理器的量子异常检测，显示了在有效识别异常方面的量子加速。该封面展示了当量子机器（右上角）生成的一组量子样本传输到钻石处理器（右下角）时，处理器可以学习其特征并识别样本是否异常。[封面设计：徐卓月（中国科学技术大学）。

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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Front Cover: Quantum Anomaly Detection with a Spin Processor in Diamond (Adv. Quantum Technol. 5/2024)

Anomaly detection is crucial for identifying deviations from regular data. In article number 2300385, researchers from USTC (University of Science and Technology of China, Hefei) experimentally demonstrate the quantum anomaly detection with a spin processor embedded in a diamond, showing the quantum speedup in efficiently identifying anomalies. This cover illustrates that when a set of quantum samples, generated by a quantum machine (top-right), is transmitted to the diamond processor (bottom-right), the processor can learn its characteristics and identify whether a sample is an anomaly. [Cover design by Zhuoyue Xu (USTC).]

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来源期刊

Advanced quantum technologies

CiteScore

7.90

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0.00%

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