[16a-M_123-1~13] FS.1 Focused Session "AI Electronics" | The 73rd JSAP Spring Meeting 2026

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Session Details

Oral presentationFS Focused Session "AI Electronics" : FS.1 Focused Session "AI Electronics"

[16a-M_123-1~13]FS.1 Focused Session "AI Electronics"

Mon. Mar 16, 2026 9:00 AM - 12:30 PM JST
Mon. Mar 16, 2026 12:00 AM - 3:30 AM UTC

M_123 (Main Bldg.)

9:00 AM - 9:15 AM JST(12:00 AM - 12:15 AM UTC)

[16a-M_123-1]Time-series data processing using graphene/diamond photomemristors

Haruki Iwane¹, 〇Kenji Ueda¹ (1.Waseda Univ.)

9:15 AM - 9:30 AM JST(12:15 AM - 12:30 AM UTC)

[16a-M_123-2]Task-Adaptive Spin-Wave Ising Machine Using Room-Temperature Spin Glass

〇(M2)Ryoken Nako^1,2, Shamim Sarker^1,2, Zhiqiang Liao^1,2, Hiroyasu Yamahara^1,2, Hitoshi Tabata^1,2 (1.Univ. of Tokyo, 2.Inst. For AI and Beyond)

9:30 AM - 9:45 AM JST(12:30 AM - 12:45 AM UTC)

[16a-M_123-3]Evaluation of Carrier Frequency Dependence for Task-Adaptive Spin-Wave Reservoir Computing

〇(M1)Ritsuki Sonetaka^1,2, Md Shamim Sarker^1,2, Zhiqiang Liao^1,2, Hitoshi Tabata^1,2 (1.The Univ. of Tokyo, 2.Inst. for AI and Beyond)

9:45 AM - 10:00 AM JST(12:45 AM - 1:00 AM UTC)

[16a-M_123-4]Solvability Evaluation of Spin-Wave Hopfield Network for the Traveling Salesman Problem

〇Daiki Nishioka¹, Wataru Namiki¹, Maki Nishimura^1,2, Ryo Iguchi¹, Kazuya Terabe¹, Takashi Tsuchiya^1,2 (1.NIMS, 2.Tokyo Univ. Sci.)

10:00 AM - 10:15 AM JST(1:00 AM - 1:15 AM UTC)Presentation by Applicant for JSAP Young Scientists Presentation AwardEnglish Presentation

[16a-M_123-5]A Novel Node-Extraction Scheme Enabling High-Performance, Node-Efficient Spin-Wave Reservoir Computing with Hardware Demonstration

〇(P)Jiaxuan Chen¹, Ryo Iguchi¹, Sota Hikasa^1,2, Takashi Tsuchiya^1,2 (1.NIMS, 2.Tokyo Univ. of Sci.)

10:15 AM - 10:30 AM JST(1:15 AM - 1:30 AM UTC)Presentation by Applicant for JSAP Young Scientists Presentation Award

[16a-M_123-6]Ultra-wide-range temperature compensation in proton-based real-time analog reservoir computing

〇(M1C)Yoshihiro Furue¹, Satoshi Hamasuna¹, Kazuya Tsuruda¹, Nada Besisa¹, Takeaki Yajima¹ (1.Kyushu Univ.)

10:45 AM - 11:00 AM JST(1:45 AM - 2:00 AM UTC)

[16a-M_123-7]Wavelength-, Spatial-, and Time-Multiplexed Photonic Tensor Core Using a Directly Modulated Laser Array and a Cyclic AWG Router PIC

〇Taishi Sumiya¹, Hidetaka Nishi¹, Mitsumasa Nakajima¹, Toshikazu Hashimoto¹, Hiroki Sugiyama¹, Takuro Fujii¹, Nikolaos-Panteleimon Diamantopoulos¹, Takasumi Tanabe², Tomonari Sato¹, Shinji Matsuo¹ (1.Device Technology Labs., NTT, Inc., 2.Keio Univ.)

11:00 AM - 11:15 AM JST(2:00 AM - 2:15 AM UTC)

[16a-M_123-8]Nonlinear Feature Extraction by DEQ Integrated Photonic Encoder

〇(M1)Ryuichi Konishi¹, Tomoaki Niiyama¹, Ayana Mizuno², Atsutaka Miyamichi², Isamu Takai², Satoshi Sunada¹ (1.Kanazawa Univ., 2.TCRDL)

11:15 AM - 11:30 AM JST(2:15 AM - 2:30 AM UTC)

[16a-M_123-9]Estimating Key Inputs on Notebook PCs Using Vibration Measurement with Laser Speckle

〇(M1)Yuki Matsuda¹, Sunada Satoshi¹, Takeo Maruyama¹ (1.Kanazawa Univ.)

11:30 AM - 11:45 AM JST(2:30 AM - 2:45 AM UTC)Presentation by Applicant for JSAP Young Scientists Presentation Award

[16a-M_123-10]A physical reservoir network for high-speed signal measurement

〇(M1)Yuito Ito¹, Niiyama Tomoaki¹, Asai Tetsuya², Tanaka Gouhei³, Atsushi Uchida⁴, Anas Skalli⁵, Sunada Satoshi¹ (1.Kanazawa Univ., 2.Hokkaido Univ., 3.NITech Univ., 4.Saitama Univ., 5.FEMTO-ST inst.)

11:45 AM - 12:00 PM JST(2:45 AM - 3:00 AM UTC)Presentation by Applicant for JSAP Young Scientists Presentation Award

The 73rd JSAP Spring Meeting 2026

Session Details

[16a-M_123-1~13]FS.1 Focused Session "AI Electronics"

[16a-M_123-1]Time-series data processing using graphene/diamond photomemristors

[16a-M_123-2]Task-Adaptive Spin-Wave Ising Machine Using Room-Temperature Spin Glass

[16a-M_123-3]Evaluation of Carrier Frequency Dependence for Task-Adaptive Spin-Wave Reservoir Computing

[16a-M_123-4]Solvability Evaluation of Spin-Wave Hopfield Network for the Traveling Salesman Problem

[16a-M_123-5]A Novel Node-Extraction Scheme Enabling High-Performance, Node-Efficient Spin-Wave Reservoir Computing with Hardware Demonstration

[16a-M_123-6]Ultra-wide-range temperature compensation in proton-based real-time analog reservoir computing

[16a-M_123-7]Wavelength-, Spatial-, and Time-Multiplexed Photonic Tensor Core Using a Directly Modulated Laser Array and a Cyclic AWG Router PIC

[16a-M_123-8]Nonlinear Feature Extraction by DEQ Integrated Photonic Encoder

[16a-M_123-9]Estimating Key Inputs on Notebook PCs Using Vibration Measurement with Laser Speckle

[16a-M_123-10]A physical reservoir network for high-speed signal measurement

[16a-M_123-11]Classification of optical patterns by a physical reservoir made of Liquid Crystal Molecules

[16a-M_123-12]Handwriting Stroke Classification Based on Finger-Pressure Dynamics Using a Ag₂S Physical Reservoir

[16a-M_123-13]Speech and Character Recognition via Reservoir Computing Using Type-II Superconductivity

Session Details

[16a-M_123-1~13]FS.1 Focused Session "AI Electronics"

[16a-M_123-1]Time-series data processing using graphene/diamond photomemristors

[16a-M_123-2]Task-Adaptive Spin-Wave Ising Machine Using Room-Temperature Spin Glass

[16a-M_123-3]Evaluation of Carrier Frequency Dependence for Task-Adaptive Spin-Wave Reservoir Computing

[16a-M_123-4]Solvability Evaluation of Spin-Wave Hopfield Network for the Traveling Salesman Problem

[16a-M_123-5]A Novel Node-Extraction Scheme Enabling High-Performance, Node-Efficient Spin-Wave Reservoir Computing with Hardware Demonstration

[16a-M_123-6]Ultra-wide-range temperature compensation in proton-based real-time analog reservoir computing

[16a-M_123-7]Wavelength-, Spatial-, and Time-Multiplexed Photonic Tensor Core Using a Directly Modulated Laser Array and a Cyclic AWG Router PIC

[16a-M_123-8]Nonlinear Feature Extraction by DEQ Integrated Photonic Encoder

[16a-M_123-9]Estimating Key Inputs on Notebook PCs Using Vibration Measurement with Laser Speckle

[16a-M_123-10]A physical reservoir network for high-speed signal measurement

[16a-M_123-11]Classification of optical patterns by a physical reservoir made of Liquid Crystal Molecules

[16a-M_123-12]Handwriting Stroke Classification Based on Finger-Pressure Dynamics Using a Ag2S Physical Reservoir

[16a-M_123-13]Speech and Character Recognition via Reservoir Computing Using Type-II Superconductivity

[16a-M_123-12]Handwriting Stroke Classification Based on Finger-Pressure Dynamics Using a Ag₂S Physical Reservoir