MAJIMA Kei 間島慶

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Majima Kei 間島慶

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Researcher Number	80735770
Other IDs
Affiliation (Current)	2025: 国立研究開発法人量子科学技術研究開発機構, 量子生命科学研究所, 研究員 2025: 株式会社国際電気通信基礎技術研究所, 脳情報通信総合研究所, 研究員
Affiliation (based on the past Project Information) *help	2024: 国立研究開発法人量子科学技術研究開発機構, 量子生命科学研究所, 研究員 2021 – 2022: 国立研究開発法人量子科学技術研究開発機構, 量子生命科学研究所, 研究員 2020: 国立研究開発法人量子科学技術研究開発機構, 量子生命科学領域, 研究員(任常)
Review Section/Research Field	Principal Investigator Basic Section 51010:Basic brain sciences-related Except Principal Investigator Basic Section 51010:Basic brain sciences-related / Basic Section 10040:Experimental psychology-related
Keywords	Principal Investigator 高次元データ / 多変量解析 / 正準相関分析 / 主成分分析 / 量子インスパイア / 量子機械学習 / 量子計算 / 量子インスパイアドアルゴリズム / 量子アルゴリズム / 機械学習 / 脳情報デコーディング … More Except Principal Investigator … More カルシウムイメージング / 神経回路 / 磁気受容 / 計算論モデリング / 音声 / 聴覚 / 自閉スペクトラム症 Less

計算論モデリングによる自閉スペクトラム症の聴覚特性の解明
- Principal Investigator
  
  橋本龍一郎
- Project Period (FY)
  2024 – 2027
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 10040:Experimental psychology-related
- Research Institution
  Tokyo Metropolitan University
広域カルシウムイメージングとVRシステム行動実験による磁覚情報処理の神経機構解明
- Principal Investigator
  
  八幡憲明
- Project Period (FY)
  2024 – 2027
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 51010:Basic brain sciences-related
- Research Institution
  National Institutes for Quantum Science and Technology
Development of quantum-inspired algorithms for decoding high-dimensional neural dataPrincipal Investigator
- Principal Investigator
  
  Majima Kei
- Project Period (FY)
  2020 – 2022
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 51010:Basic brain sciences-related
- Research Institution
  National Institutes for Quantum Science and Technology

All 2022 2021 2020

All Journal Article Presentation Patent

[Journal Article] Quantum-Inspired Algorithms for Accelerating Machine Learning2022
- Author(s)
  間島慶、小出（間島）真子
- Journal Title
  
  The Brain & Neural Networks
  
  Volume: 29 Issue: 4 Pages: 186-192
- DOI
  10.3902/jnns.29.186
- ISSN
  1340-766X, 1883-0455
- Year and Date
  2022-12-05
- Language
  Japanese
- Open Access
- Data Source
  KAKENHI-PROJECT-20K16465
[Journal Article] 今すぐ使える量子計算！？2022
- Author(s)
  田中宗、後藤隼人、間島慶、林浩平、御手洗光祐
- Journal Title
  
  The Brain & Neural Networks
  
  Volume: 29 Issue: 4 Pages: 163-163
- DOI
  10.3902/jnns.29.163
- ISSN
  1340-766X, 1883-0455
- Year and Date
  2022-12-05
- Language
  Japanese
- Open Access
- Data Source
  KAKENHI-PROJECT-20K16465
[Journal Article] Fast and scalable classical machine-learning algorithm with similar performance to quantum circuit learning2021
- Author(s)
  Koide-Majima Naoko、Majima Kei
- Journal Title
  
  Physical Review A
  
  Volume: 104 Issue: 6
- DOI
  10.1103/physreva.104.062411
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20K16465
[Journal Article] Quantum-inspired canonical correlation analysis for exponentially large dimensional data2021
- Author(s)
  Koide-Majima Naoko、Majima Kei
- Journal Title
  
  Neural Networks
  
  Volume: 135 Pages: 55-67
- DOI
  10.1016/j.neunet.2020.11.019
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20K16465
[Patent] 予測装置、予測方法、および予測プログラム2022
- Inventor(s)
  間島慶、八幡憲明、柳澤琢史、福間良平、他4人
- Industrial Property Rights Holder
  間島慶、八幡憲明、柳澤琢史、福間良平、他4人
- Industrial Property Rights Type
  特許
- Filing Date
  2022
- Data Source
  KAKENHI-PROJECT-20K16465
[Presentation] Bidirectional neural network and its application to image denoising, super-resolution, and image completion2022
- Author(s)
  Kei Majima, Noriaki Yahata
- Organizer
  Quantum Innovation 2022
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K16465
[Presentation] 深層学習・機械学習・量子インスパイアアルゴリズムを用いた脳情報の解読2022
- Author(s)
  間島慶
- Organizer
  第437回CBI学会講演会
- Invited
- Data Source
  KAKENHI-PROJECT-20K16465
[Presentation] 超高次元データ解析のための量子インスパイア主成分分析の開発2021
- Author(s)
  間島慶、小出（間島）真子、八幡憲明
- Organizer
  第44回量子情報技術研究会 (QIT44)
- Data Source
  KAKENHI-PROJECT-20K16465
[Presentation] 超高次元データ解析のための量子インスパイア主成分分析・正準相関分析の開発2021
- Author(s)
  間島慶、小出（間島）真子、八幡憲明
- Organizer
  第2回量子ソフトウェア研究発表会
- Data Source
  KAKENHI-PROJECT-20K16465
[Presentation] 超高次元データ解析のための量子インスパイア主成分分析の開発2021
- Author(s)
  間島慶、小出（間島）真子、田桑弘之、樋口真人、須原哲也、八幡憲明
- Organizer
  第31回日本神経回路学会全国大会 (JNNS 2021)
- Data Source
  KAKENHI-PROJECT-20K16465
[Presentation] Quantum-inspired machine learning for exponentially big neural data analysis2021
- Author(s)
  Kei Majima
- Organizer
  QUANTUM INNOVATION 2021
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K16465
[Presentation] 超高次元データ解析のための量子インスパイア主成分分析・正準相関分析の開発2020
- Author(s)
  間島慶、小出（間島）真子、八幡憲明
- Organizer
  量子生命科学会第2回大会
- Data Source
  KAKENHI-PROJECT-20K16465

1. 八幡憲明 (70409150)

# of Collaborated Projects: 2 results

# of Collaborated Products: 0 results
2. 橋本龍一郎 (00585838)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
3. 太田晴久 (00439366)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
4. 板橋貴史 (70636943)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
5. 岡野俊行 (40272471)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
6. 田桑弘之 (40508347)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results

MAJIMA Kei 間島 慶

Majima Kei 間島 慶

Research Projects

Research Products

Co-Researchers

計算論モデリングによる自閉スペクトラム症の聴覚特性の解明

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

広域カルシウムイメージングとVRシステム行動実験による磁覚情報処理の神経機構解明

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Development of quantum-inspired algorithms for decoding high-dimensional neural dataPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Quantum-Inspired Algorithms for Accelerating Machine Learning2022

Author(s)

Journal Title

DOI

ISSN

Year and Date

Language

Data Source

[Journal Article] 今すぐ使える量子計算！？2022

Author(s)

Journal Title

DOI

ISSN

Year and Date

Language

Data Source

[Journal Article] Fast and scalable classical machine-learning algorithm with similar performance to quantum circuit learning2021

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Quantum-inspired canonical correlation analysis for exponentially large dimensional data2021

Author(s)

Journal Title

DOI

Data Source

[Patent] 予測装置、予測方法、および予測プログラム2022

Inventor(s)

Industrial Property Rights Holder

Industrial Property Rights Type

Filing Date

Data Source

[Presentation] Bidirectional neural network and its application to image denoising, super-resolution, and image completion2022

Author(s)

Organizer

Data Source

[Presentation] 深層学習・機械学習・量子インスパイアアルゴリズムを用いた脳情報の解読2022

Author(s)

Organizer

Data Source

[Presentation] 超高次元データ解析のための量子インスパイア主成分分析の開発2021

Author(s)

Organizer

Data Source

[Presentation] 超高次元データ解析のための量子インスパイア主成分分析・正準相関分析の開発2021

Author(s)

Organizer

Data Source

[Presentation] 超高次元データ解析のための量子インスパイア主成分分析の開発2021

Author(s)

Organizer

Data Source

[Presentation] Quantum-inspired machine learning for exponentially big neural data analysis2021

Author(s)

Organizer

Data Source

[Presentation] 超高次元データ解析のための量子インスパイア主成分分析・正準相関分析の開発2020

MAJIMA Kei 間島慶

Majima Kei 間島慶