Light‐Cone Feature Selection for Quantum Machine Learning

Authors

Hideaki Kawaguchi (ORCID: https://orcid.org/0000-0001-5772-8295)
Yudai Suzuki (ORCID: https://orcid.org/0000-0003-1444-8124)
Rei Sakuma

Institutions

Keio University (JP)

Publication Details

Journal: Advanced Quantum Technologies
Published: 2025-02-28
DOI: https://doi.org/10.1002/qute.202400647
Citations: 4
Primary Topic: Quantum Computing Algorithms and Architecture
Type: article
Field-Weighted Citation Impact: 9.92

Funders

Japan Society for the Promotion of Science

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article

Light‐Cone Feature Selection for Quantum Machine Learning

Hideaki Kawaguchi, Yudai Suzuki, Rei Sakuma

Feb 28, 2025

4 citations

Advanced Quantum Technologies

Quantum Computing Algorithms and Architecture

9.92

article

Light‐Cone Feature Selection for Quantum Machine Learning

Hideaki Kawaguchi, Yudai Suzuki, Rei Sakuma

February 28, 2025article en

4 citations

Abstract

No abstract available for this paper.

Advanced Quantum TechnologiesVol. 8(6)

Keio University (JP)

Japan Society for the Promotion of Science

Openalex Percentile: Top 3%

Quantum Computing Algorithms and Architecture

9.92

DOI Open Access PDF OpenAlex

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Light‐Cone Feature Selection for Quantum Machine Learning — Hideaki Kawaguchi, Yudai Suzuki, et al. · Advanced Quantum Technologies (2025) | TGRS Research Map | TGRS