Chen Olivia 陳オリビア

Researcher Number	70837856
Other IDs	https://orcid.org/0000-0002-2208-0262
Affiliation (Current)	2024: 九州大学, システム情報科学研究院, 准教授
Affiliation (based on the past Project Information) *help	2024: 九州大学, システム情報科学研究院, 准教授 2022 – 2023: 東京都市大学, 情報工学部, 准教授 2019 – 2020: 横浜国立大学, 先端科学高等研究院, 特任教員(助教)
Review Section/Research Field	Principal Investigator Sections That Are Subject to Joint Review: Basic Section60040:Computer system-related , Basic Section60090:High performance computing-related / Basic Section 60090:High performance computing-related / Basic Section 60040:Computer system-related / Basic Section 21060:Electron device and electronic equipment-related Except Principal Investigator Medium-sized Section 21:Electrical and electronic engineering and related fields
Keywords	Principal Investigator 近似計算 / 多値論理 / 超伝導回路 / ディープラーニング / ストカスティック演算 / 超伝導エレクトロニック / 機械学習 / 超伝導集積回路 / 断熱回路 / 低消費電力 / 集積回路工学 / 超伝導エレクトロニクス / 電子工学 … More Except Principal Investigator … More 機械学習 / ニューラルネットワーク / 確率動作 / ニューロモルフィック / 単一磁束量子 / 断熱回路 / 磁束量子パラメトロン / 確率的動作 / 超伝導集積回路 / クロスバーアレイ / 磁束量子 / AQFP Less

High-Performance Machine Learning Computing Using Non-deterministic Superconducting CircuitsPrincipal Investigator
- Principal Investigator
  
  陳オリビア
- Project Period (FY)
  2023 – 2027
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 60040:Computer system-related
  Basic Section 60090:High performance computing-related
  Sections That Are Subject to Joint Review: Basic Section60040:Computer system-related , Basic Section60090:High performance computing-related
- Research Institution
  Kyushu University
  Tokyo City University
Construction of stochastic superconductor neural networks towards ultra-low-power machine learning
- Principal Investigator
  
  竹内尚輝
- Project Period (FY)
  2022 – 2026
- Research Category
  
  Grant-in-Aid for Scientific Research (A)
- Review Section
  
  Medium-sized Section 21:Electrical and electronic engineering and related fields
- Research Institution
  National Institute of Advanced Industrial Science and Technology
Development of a low-power deep-learning chip using adiabatic superconducting technologyPrincipal Investigator
- Principal Investigator
  
  Chen Olivia
- Project Period (FY)
  2019 – 2020
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 21060:Electron device and electronic equipment-related
- Research Institution
  Yokohama National University

All 2023 2022 2021 2020 2019

All Journal Article Presentation

[Journal Article] Scalable true random number generator using adiabatic superconductor logic2022
- Author(s)
  Luo Wenhui、Chen Olivia、Yoshikawa Nobuyuki、Takeuchi Naoki
- Journal Title
  
  Scientific Reports
  
  Volume: 12 Issue: 1 Pages: 1-10
- DOI
  10.1038/s41598-022-24230-5
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-22H00220
[Journal Article] Demonstration of a 47.8 GHz High-Speed FFT Processor Using Single-Flux-Quantum Technology2021
- Author(s)
  Fei Ke, Olivia Chen, Yanzhi Wang and Nobuyuki Yoshikawa
- Journal Title
  
  IEEE Trans. Appl. Supercond
  
  Volume: 31-5 Issue: 5 Pages: 1-5
- DOI
  10.1109/tasc.2021.3059984
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H05211, KAKENHI-PROJECT-19K15041
[Journal Article] Logic Synthesis of Sequential Logic Circuits for Adiabatic Quantum-Flux-Parametron Logic2021
- Author(s)
  Saito Ro、Ayala Christopher L.、Chen Olivia、Tanaka Tomoyuki、Tamura Tomohiro、Yoshikawa Nobuyuki
- Journal Title
  
  IEEE Transactions on Applied Superconductivity
  
  Volume: 31 Issue: 5 Pages: 1-5
- DOI
  10.1109/tasc.2021.3061636
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K13801, KAKENHI-PROJECT-19K15041, KAKENHI-PROJECT-19H05614
[Journal Article] Low-autocorrelation random number generator based on adiabatic quantum-flux-parametron logic2021
- Author(s)
  Luo Wenhui、Takeuchi Naoki、Chen Olivia、Yoshikawa Nobuyuki
- Journal Title
  
  IEEE Transactions on Applied Superconductivity
  
  Volume: 31 Issue: 5 Pages: 1-1
- DOI
  10.1109/tasc.2021.3070460
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19K15041, KAKENHI-PROJECT-19H05614
[Journal Article] Improvement for autocorrelation of adiabatic quantum-flux-parametron based random number generator2020
- Author(s)
  Wenhui Luo、Naoki Takeuchi、Olivia Chen
- Journal Title
  
  IEICE Technical Report
  
  Volume: 120 Pages: 17-20
- Data Source
  KAKENHI-PROJECT-19K15041
[Journal Article] Design of SFQ convolutional computation processor for convolutional neural network2020
- Author(s)
  Fei Ke、 Ao Ren、Yanzhi Wang、Olivia Chen、 Yuki Yamanashi、Nobuyuki Yoshikawa
- Journal Title
  
  IEICE Technical Report
  
  Volume: 119 Pages: 11-13
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K15041
[Journal Article] Design and Evaluation of a 1-bit Random Number Generator using Adiabatic Quantum-flux-parametron Logic2020
- Author(s)
  Wenhui LUO、 Naoki TAKEUCHI、Olivia CHEN、Nobuyuki YOSHIKAWA
- Journal Title
  
  IEICE Technical Report
  
  Volume: 119 Pages: 95-97
- Data Source
  KAKENHI-PROJECT-19K15041
[Journal Article] A semi-custom design methodology and environment for implementing superconductor adiabatic quantum-flux-parametron microprocessors2020
- Author(s)
  Ayala Christopher L、Saito Ro、Tanaka Tomoyuki、Chen Olivia、Takeuchi Naoki、He Yuxing、Yoshikawa Nobuyuki
- Journal Title
  
  Superconductor Science and Technology
  
  Volume: 33 Issue: 5 Pages: 054006-054006
- DOI
  10.1088/1361-6668/ab7ec3
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K13801, KAKENHI-PROJECT-19H05614, KAKENHI-PROJECT-19K15041
[Journal Article] Methodology for Automating Data Feedback Circuit Synthesis for a 4-bit Counter in Adiabatic Quantum-Flux-Parametron Logic2020
- Author(s)
  Ro Saito、Christopher L Ayala、 Olivia Chen、 Tomoyuki Tanaka、Tomohiro Tamura、 Nobuyuki Yoshikawa
- Journal Title
  
  IEICE Technical Report
  
  Volume: 119 Pages: 117-119
- Data Source
  KAKENHI-PROJECT-19K15041
[Journal Article] Adiabatic Quantum-Flux-Parametron: Towards Building Extremely Energy-Efficient Circuits and Systems2019
- Author(s)
  Chen Olivia、Cai Ruizhe、Wang Yanzhi、Ke Fei、Yamae Taiki、Saito Ro、Takeuchi Naoki、Yoshikawa Nobuyuki
- Journal Title
  
  Scientific Reports
  
  Volume: 9 Issue: 1 Pages: 1-20
- DOI
  10.1038/s41598-019-46595-w
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K15041, KAKENHI-PROJECT-19H05614
[Journal Article] A Majority Logic Synthesis Framework for Adiabatic Quantum-Flux-Parametron Superconducting Circuits2019
- Author(s)
  Cai Ruizhe、Chen Olivia、Ren Ao、Liu Ning、Ding Caiwen、Yoshikawa Nobuyuki、Wang Yanzhi
- Journal Title
  
  Proceedings of the 2019 on Great Lakes Symposium on VLSI
  
  Volume: － Pages: 189-194
- DOI
  10.1145/3299874.3317980
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K15041
[Journal Article] Design of Adiabatic Quantum-Flux-Parametron Register Files Using a Top-Down Design Flow2019
- Author(s)
  Chen Olivia、Saito Ro、Tanaka Tomoyuki、Ayala Christopher L.、Takeuchi Naoki、Yoshikawa Nobuyuki
- Journal Title
  
  IEEE Transactions on Applied Superconductivity
  
  Volume: 29 Issue: 5 Pages: 1-5
- DOI
  10.1109/tasc.2019.2908277
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19K15041
[Journal Article] A stochastic-computing based deep learning framework using adiabatic quantum-flux-parametron superconducting technology2019
- Author(s)
  Cai Ruizhe、Ren Ao、Chen Olivia、Liu Ning、Ding Caiwen、Qian Xuehai、Han Jie、Luo Wenhui、Yoshikawa Nobuyuki、Wang Yanzhi
- Journal Title
  
  ISCA '19: Proceedings of the 46th International Symposium on Computer Architecture
  
  Volume: － Pages: 567-578
- DOI
  10.1145/3307650.3322270
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K15041
[Journal Article] A Buffer and Splitter Insertion Framework for Adiabatic Quantum-Flux-Parametron Superconducting Circuits2019
- Author(s)
  Cai Ruizhe、Chen Olivia、Ren Ao、Liu Ning、Yoshikawa Nobuyuki、Wang Yanzhi
- Journal Title
  
  ICCD 2019
  
  Volume: 1 Pages: 429-436
- DOI
  10.1109/iccd46524.2019.00067
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K15041
[Presentation] 熱平衡型超伝導ストカスティックメモリの提案2023
- Author(s)
  羅文輝, 竹内尚輝, 陳オリビア, 吉川信行
- Organizer
  2023年電子情報通信学会総合大会
- Data Source
  KAKENHI-PROJECT-22H00220
[Presentation] Demonstration of a Superconducting Stochastic Memory for Stochastic Computing Systems2023
- Author(s)
  W. Luo, N. Takeuchi, O. Chen, and N. Yoshikawa
- Organizer
  11th East Asia Symposium on Superconductive Electronics (EASSE 2023)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22H00220
[Presentation] 磁束ストレージループを用いたストカスティックメモリの動作実証2022
- Author(s)
  羅文輝, 竹内尚輝, 陳オリビア, 吉川信行
- Organizer
  第83回応用物理学会秋季学術講演会
- Data Source
  KAKENHI-PROJECT-22H00220
[Presentation] A sigmoid function generator using stochastic computing-based adiabatic quantum-flux-parametron logic2022
- Author(s)
  W. Luo, N. Takeuchi, O. Chen, and N. Yoshikawa
- Organizer
  Applied Superconductivity Conference 2022 (ASC 2022)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22H00220
[Presentation] Non-Linear Function Generator Using Stochastic Superconductive Circuits2022
- Author(s)
  O. Chen, R. Zhang, W. Luo, N. Takeuchi, and N. Yoshikawa
- Organizer
  Applied Superconductivity Conference 2022 (ASC 2022)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22H00220
[Presentation] Sigmoid Function Generator Based on Stochastic Computing Using Superconducting Circuits2022
- Author(s)
  W. Luo, N. Takeuchi, O. Chen, and N. Yoshikawa
- Organizer
  15th Superconducting SFQ VLSI Workshop (SSV 2022)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22H00220
[Presentation] Design of Arithmetic Function Generator Using Adiabatic Quantum-Flux-Parametron Technology2022
- Author(s)
  O. Chen, R. Zhang, W. Luo, N. Takeuchi, and N. Yoshikawa
- Organizer
  15th Superconducting SFQ VLSI Workshop (SSV 2022)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22H00220
[Presentation] Towards AQFP-Capable Physical Design Automation2021
- Author(s)
  Hongjia Li, Mengshu Sun, Tianyun Zhang, Olivia Chen, Nobuyuki Yoshikawa, Bei Yu, Yanzhi Wang, Yibo Lin
- Organizer
  2021 Design, Automation, and Test in Europe (DATE)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K15041
[Presentation] Low-Autocorrelation Random Number Generator using Adiabatic Quantum-Flux-Parametron Logic2020
- Author(s)
  Wenhui Luo, Naoki Takeuchi, Olivia Chen, and Nobuyuki Yoshikawa
- Organizer
  2020 Applied Superconducitivity Conference (ASC)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K15041
[Presentation] ASAP: An Analytical Strategy for AQFP Placement2020
- Author(s)
  Y. -C. Chang, H. Li, O. Chen,Y. Wang, N. Yoshikawa, T. -Y. Ho
- Organizer
  2020 IEEE/ACM International Conference On Computer Aided Design (ICCAD)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K15041
[Presentation] An AQFP-Based Neural Network Accelerator with On-Chip Stochastic Number Generation2020
- Author(s)
  Olivia Chen, Wenhui Luo, Yanzhi Wang, Naoki Takeuchi, and Nobuyuki Yoshikawa
- Organizer
  2020 Applied Superconducitivity Conference (ASC)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K15041
[Presentation] Logic Synthesis of Sequential Logic Circuits for Adiabatic Quantum-Flux-Parametron Logic2020
- Author(s)
  Saito Ro, Ayala Christopher L, Chen Olivia,Tanaka Tomoyuki, Tamura Tomohiro, Yoshikawa Nobuyuki
- Organizer
  2020 Applied Superconducitivity Conference (ASC)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K15041
[Presentation] Demonstration of a 47.8GHz High-Speed FFT Processor Using Single-Flux-Quantum Technology2020
- Author(s)
  Fei Kei, Olivia Chen, Nobuyuki Yoshikawa
- Organizer
  2020 Applied Superconducitivity Conference (ASC)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K15041
[Presentation] Design and implementation of a bitonic sorter-based deep learning accelerator using adiabatic superconducting logic2019
- Author(s)
  O. Chen, R. Cai, T. Tanaka, Y. Wang, N. Yoshikawa
- Organizer
  ISEC2019
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K15041
[Presentation] A novel stochastic number generator using adiabatic superconducting technology2019
- Author(s)
  O. Chen, W. Luo, R. Cai, N. Takeuchi, Y. Wang and N. Yoshikawa
- Organizer
  EUCAS2019
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K15041
[Presentation] A Majority Logic Synthesis Framework for Adiabatic Quantum-Flux-Parametron Superconducting Circuits2019
- Author(s)
  Cai Ruizhe, Chen Olivia, Ren Ao, Liu Ning, Ding Caiwen, Yoshikawa Nobuyuki, Wang Yanzhi
- Organizer
  Great Lakes Symposium on VLSI
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K15041
[Presentation] 超伝導回路の深層学習応用2019
- Author(s)
  O. Chen
- Organizer
  応用物理学会超伝導分科会
- Invited
- Data Source
  KAKENHI-PROJECT-19K15041
[Presentation] A stochastic-computing based deep learning framework using adiabatic quantum-flux-parametron superconducting technology2019
- Author(s)
  Cai Ruizhe, Ren Ao, Chen Olivia, Liu Ning, Ding Caiwen, Qian Xuehai, Han Jie, Luo Wenhui, Yoshikawa Nobuyuki, Wang Yanzhi
- Organizer
  ISCA19
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K15041

1. 竹内尚輝 (00746472)

# of Collaborated Projects: 1 results

# of Collaborated Products: 8 results
2. 吉川信行 (70202398)

# of Collaborated Projects: 1 results

# of Collaborated Products: 9 results
3. アヤラクリストファー

# of Collaborated Projects: 0 results

# of Collaborated Products: 2 results

Chen Olivia 陳 オリビア

Research Projects

Research Products

Co-Researchers

High-Performance Machine Learning Computing Using Non-deterministic Superconducting CircuitsPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Construction of stochastic superconductor neural networks towards ultra-low-power machine learning

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Development of a low-power deep-learning chip using adiabatic superconducting technologyPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Scalable true random number generator using adiabatic superconductor logic2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Demonstration of a 47.8 GHz High-Speed FFT Processor Using Single-Flux-Quantum Technology2021

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Logic Synthesis of Sequential Logic Circuits for Adiabatic Quantum-Flux-Parametron Logic2021

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Low-autocorrelation random number generator based on adiabatic quantum-flux-parametron logic2021

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Improvement for autocorrelation of adiabatic quantum-flux-parametron based random number generator2020

Author(s)

Journal Title

Data Source

[Journal Article] Design of SFQ convolutional computation processor for convolutional neural network2020

Author(s)

Journal Title

Data Source

[Journal Article] Design and Evaluation of a 1-bit Random Number Generator using Adiabatic Quantum-flux-parametron Logic2020

Author(s)

Journal Title

Data Source

[Journal Article] A semi-custom design methodology and environment for implementing superconductor adiabatic quantum-flux-parametron microprocessors2020

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Methodology for Automating Data Feedback Circuit Synthesis for a 4-bit Counter in Adiabatic Quantum-Flux-Parametron Logic2020

Author(s)

Journal Title

Data Source

[Journal Article] Adiabatic Quantum-Flux-Parametron: Towards Building Extremely Energy-Efficient Circuits and Systems2019

Author(s)

Journal Title

DOI

Data Source

[Journal Article] A Majority Logic Synthesis Framework for Adiabatic Quantum-Flux-Parametron Superconducting Circuits2019

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Design of Adiabatic Quantum-Flux-Parametron Register Files Using a Top-Down Design Flow2019

Author(s)

Journal Title

DOI

Data Source

[Journal Article] A stochastic-computing based deep learning framework using adiabatic quantum-flux-parametron superconducting technology2019

Author(s)

Chen Olivia 陳オリビア