Evidence map›Paper›PMID 36347870›Full record

ArticleScientific reports2022

Order recognition by Schubert polynomials generated by optical near-field statistics via nanometre-scale photochromism.

Kazuharu Uchiyama, Sota Nakajima, Hirotsugu Suzui, Nicolas Chauvet, Hayato Saigo, Ryoichi Horisaki, Kingo Uchida, Makoto Naruse, Hirokazu Hori

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Kazuharu UchiyamaUniversity of Yamanashi, 4-3-11 Takeda, Kofu, Yamanashi, 400-8511, Japan. kuchiyama@yamanashi.ac.jp.
Sota NakajimaDepartment of Information Physics and Computing, Graduate School of Information Science and Technology, The University of Tokyo, 7-3-1 Bunkyo-ku, Tokyo, 113-8656, Japan.
Hirotsugu SuzuiDepartment of Information Physics and Computing, Graduate School of Information Science and Technology, The University of Tokyo, 7-3-1 Bunkyo-ku, Tokyo, 113-8656, Japan.
Nicolas ChauvetDepartment of Information Physics and Computing, Graduate School of Information Science and Technology, The University of Tokyo, 7-3-1 Bunkyo-ku, Tokyo, 113-8656, Japan.
Hayato SaigoNagahama Institute of Bio-Science and Technology, 1266 Tamura, Nagahama, Shiga, 526-0829, Japan.
Ryoichi HorisakiDepartment of Information Physics and Computing, Graduate School of Information Science and Technology, The University of Tokyo, 7-3-1 Bunkyo-ku, Tokyo, 113-8656, Japan.
Kingo UchidaRyukoku University, 1-5 Yokotani, Oe-cho, Seta, Otsu, Shiga, 520-2194, Japan.
Makoto NaruseDepartment of Information Physics and Computing, Graduate School of Information Science and Technology, The University of Tokyo, 7-3-1 Bunkyo-ku, Tokyo, 113-8656, Japan. makoto_naruse@ipc.i.u-tokyo.ac.jp.
Hirokazu HoriUniversity of Yamanashi, 4-3-11 Takeda, Kofu, Yamanashi, 400-8511, Japan.

Funding

Japan Science and Technology Agency JPMJCR17N2Japan Society for the Promotion of Science JP20H00233
6 · The paper itself

Abstract

Irregular spatial distribution of photon transmission through a photochromic crystal photoisomerized by a local optical near-field excitation was previously reported, which manifested complex branching processes via the interplay of material deformation and near-field photon transfer therein. Furthermore, by combining such naturally constructed complex photon transmission with a simple photon detection protocol, Schubert polynomials, the foundation of versatile permutation operations in mathematics, have been generated. In this study, we demonstrated an order recognition algorithm inspired by Schubert calculus using optical near-field statistics via nanometre-scale photochromism. More specifically, by utilizing Schubert polynomials generated via optical near-field patterns, we showed that the order of slot machines with initially unknown reward probability was successfully recognized. We emphasized that, unlike conventional algorithms, the proposed principle does not estimate the reward probabilities but exploits the inversion relations contained in the Schubert polynomials. To quantitatively evaluate the impact of Schubert polynomials generated from an optical near-field pattern, order recognition performances were compared with uniformly distributed and spatially strongly skewed probability distributions, where the optical near-field pattern outperformed the others. We found that the number of singularities contained in Schubert polynomials and that of the given problem or considered environment exhibited a clear correspondence, indicating that superior order recognition is attained when the singularity of the given situations is presupposed. This study paves way for physical computing through the interplay of complex natural processes and mathematical insights gained by Schubert calculus.

Identifiers

PMID36347870
PMCPMC9643458

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