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  1. 原著論文

Experimental quantum kernel trick with nuclear spins in a solid

https://repo.qst.go.jp/records/84340
https://repo.qst.go.jp/records/84340
1fca78ac-013f-4c95-bf32-819a67e9ce3f
Item type 学術雑誌論文 / Journal Article(1)
公開日 2021-09-29
タイトル
タイトル Experimental quantum kernel trick with nuclear spins in a solid
言語
言語 eng
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_6501
資源タイプ journal article
アクセス権
アクセス権 metadata only access
アクセス権URI http://purl.org/coar/access_right/c_14cb
著者 Kusumoto, Takeru

× Kusumoto, Takeru

WEKO 1018664

Kusumoto, Takeru

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Mitarai, Kosuke

× Mitarai, Kosuke

WEKO 1018665

Mitarai, Kosuke

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Fujii, Keisuke

× Fujii, Keisuke

WEKO 1018666

Fujii, Keisuke

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Kitagawa, Masahiro

× Kitagawa, Masahiro

WEKO 1018667

Kitagawa, Masahiro

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Makoto, Negoro

× Makoto, Negoro

WEKO 1018668

Makoto, Negoro

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Makoto, Negoro

× Makoto, Negoro

WEKO 1018669

en Makoto, Negoro

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内容記述タイプ Abstract
内容記述 The kernel trick allows us to employ high-dimensional feature space for a machine learning task without explicitly storing features. Recently, the idea of utilizing quantum systems for computing kernel functions using interference has been demonstrated experimentally. However, the dimension of feature spaces in those experiments have been smaller than the number of data, which makes them lose their computational advantage over explicit method. Here we show the first experimental demonstration of a quantum kernel machine that achieves a scheme where the dimension of feature space greatly exceeds the number of data using 1H nuclear spins in solid. The use of NMR allows us to obtain the kernel values with single-shot experiment. We employ engineered dynamics correlating 25 spins which is equivalent to using a feature space with a dimension over 1015. This work presents a quantum machine learning using one of the largest quantum systems to date.
書誌情報 npj Quantum Information

巻 7, p. 94, 発行日 2021-06
出版者
出版者 Nature
ISSN
収録物識別子タイプ ISSN
収録物識別子 2056-6387
DOI
識別子タイプ DOI
関連識別子 10.1038.s41534-021-00423-0
関連サイト
識別子タイプ URI
関連識別子 https://www.nature.com/articles/s41534-021-00423-0
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