Onomi Takeshi

オノミタケシ | Onomi Takeshi

Affiliation and department：
Job title： Associate Professor
Homepage URL (1)： http://db.tohoku.ac.jp/whois/detail/37e25bb198f06410c37b0a294cd6974a.html

Research field (1)： Electronic devices and equipment

Research keywords (10)：超伝導 , ジョセフソン素子 , 単一磁束量子デバイス , ニューラルネットワーク , 人工神経回路 , 超伝導回路 , 集積回路工学 , Artificial neural network , Superconducting circuit , Integrated circuit

Papers (25)：

Takeshi Onomi, Yoshinao Mizugaki. Hardware Random Number Generator Using Josephson Oscillation and SFQ Logic Circuits. IEEE Transactions on Applied Superconductivity. 2020. 30. 7. 1301305
Takeshi Onomi. Experimental demonstration and performance estimation of a new relaxation oscillator using a superconducting Schmitt trigger. PROCEEDINGS OF THE 28TH INTERNATIONAL SYMPOSIUM ON SUPERCONDUCTIVITY (ISS 2015). 2016. 81. 141-144
Takeshi Onomi. Implementation of a New Relaxation Oscillator Using Superconducting Schmitt Trigger Inverter. 2015 15TH INTERNATIONAL SUPERCONDUCTIVE ELECTRONICS CONFERENCE (ISEC). 2015
T. Onomi, K. Nakajima. An improved superconducting neural circuit and its application for a neural network solving a combinatorial optimization problem. Journal of Physics: Conference Series. 2014. 507. 42029
Takeshi Onomi, Koji Nakajima. Neuron Circuit Using Coupled SQUIDs Gate with Flat Output Characteristics for Superconducting Neural Network. IEICE TRANSACTIONS ON ELECTRONICS. 2014. E97C. 3. 173-177

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MISC (71)：

T. Onomi. Design of a Hardware Random Number Generator using Josephson Oscillation and SFQ Logic Circuits. Abstracts of 2019 IEEE International Superconductive Electronics Conference. 2019. 3-PS-P-8
T. Onomi. Performance Analysis of Relaxation Oscillator Using Superconducting Schmitt Trigger Inverter Based on Coupled SQUIDs Gate. Abstracts of 2016 Applied Superconductivity Conference. 2016. 4EPoE-06
T. Onomi. Implementation of a New Relaxation Oscillator Using Superconducting Schmitt Trigger Inverter. Proceedings of the 2015 IEEE 15th International Superconductive Electronics Conference. 2015. DS-P20
C. Bao, T. Onomi, Y. Hayakawa, S. Sato, K. Nakajima. Performance analysis of Bidirectional Associative Memories by using the Inverse Function Delayless model. Proceedings of 2014 International Symposium on Nonlinear Theory and Its Applications. 2014. 516-519
Y. Horiuchi, Y. Hayakawa, T. Onomi, K. Nakajima. Back Propagation Learning Based on an IDL Model. Proceedings of 2014 International Symposium on Nonlinear Theory and Its Applications. 2014. 512-515

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Books (2)：

Fluxoid-type Logic Circuits
1999
Fluxoid-type Logic Circuits
1999

Lectures and oral presentations (87)：

単一磁束量子発振器に基づく超伝導乱数生成器の乱数品質とANDゲートのスイッチング時間の関係
(2020年応用物理学会九州支部講演会 2020)
単一磁束量子回路による発振パルスサンプリング型真性乱数生成器の開発
(電子情報通信学会超伝導エレクトロニクス研究会 2020)
単一磁束量子発振器に基づく超伝導乱数生成器の乱数品質の検証
(2019年応用物理学会九州支部学術講演会 2019)
SFQ パルス発振器に基づくSFQ 乱数生成器の試作
(2019 年電子情報通信学会エレクトロニクスソサイエティ大会 2019)
結合SQUIDs ゲートを利用したシュミットトリガー回路による弛張発振器の発振周波数と回路パラメータの関係
(2018年応用物理学会九州支部学術講演会 2018)

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Professional career (1)：

博士(工学) (東北大学)

Work history (1)：

Tohoku University Research Institute of Electrical Communication, Laboratory for Brainware Systems, Intelligent Nano-Integration System Assistant Professor

Association Membership(s) (4)：

電子情報通信学会 , 応用物理学会 , 電子情報通信学会 , 応用物理学会

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