Oral presentation

[22a-E102-1~8] FS.1 Focused Session "AI Electronics"

Tue. Mar 22, 2022 9:00 AM - 11:15 AM E102 (E102)

△：Presentation by Applicant for JSAP Young Scientists Presentation Award
▲：English Presentation
▼：Both of Above
No Mark：None of Above

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9:00 AM - 9:15 AM

[22a-E102-1] [Highlight]Floating Gate Technology-based Stochastic Neurons for Spiking Neural Network Hardware

〇Akira Goda¹, Chihiro Matsui¹, Ken Takeuchi¹ (1.Univ. Tokyo)

9:15 AM - 9:30 AM

▲ [22a-E102-2] High Symmetry and Linearity in Weight Update with GeTe/Sb₂Te₃ Superlattice-like Structure for Artificial Synapse

〇(D)Shinyoung Kang¹, Soo-Min Jin², Tae-Hun Shim², Jea-Gun Park², Yun-Heub Song², Yuji Sutou^1,3 (1.Tohoku Univ. (Eng), 2.Hanyang Univ., 3.Tohoku Univ. (AIMR))

9:30 AM - 9:45 AM

[22a-E102-3] Selectively Induced Analog and Stochastic Resistive Switching in TaO_x and Their Direct Observations by C-AFM

〇Atsushi Tsurumaki-Fukuchi¹, Takayoshi Katase², Hiromichi Ohta³, Masashi Arita¹, Yasuo Takahashi¹ (1.IST, Hokkaido Univ., 2.MSL, Tokyo Tech., 3.RIES, Hokkaido Univ.)

9:45 AM - 10:00 AM

[22a-E102-4] Development of quantization YOLO model and WER tolerance evaluation for VC-MRAM implementation

〇(P)YOENGJYE YEOH¹, Hakaru Tamukoh¹, Osamu Nomura¹, Hiroko Arai², Hiroshi Imamura², Takashi Morie¹ (1.Kyushu Inst. Tech, 2.AIST)

10:15 AM - 10:30 AM

[22a-E102-5] Stable analog resistance change of an Ag-ion controlled molecular-gap atomic switch using nanosphere lithography

〇(M1)Naonari Tanimoto¹, Tsuyoshi Hasegawa¹ (1.Waseda Univ.)

10:30 AM - 10:45 AM

[22a-E102-6] Development of a Cu-ion Controlled Molecular-gap Atomic Switch with a Reduced Filament Formation Area

〇(M1)Haruki Ishijima¹, Tsuyoshi Hasegawa¹ (1.Waseda Univ.)

10:45 AM - 11:00 AM

[22a-E102-7] Cu diffusion in amorphous-Ta₂O₅ containing H₂O studied with high-dimensional neural network potential

〇(M2)Junichi Okamoto¹, Shimizu Kouji¹, Watanabe Satoshi¹ (1.Univ. Tokyo)

11:00 AM - 11:15 AM

[22a-E102-8] Quantized conductance in a NiO-based ReRAM and its mechanism

〇(B)Riku Takagi¹, Tsuyoshi Hasegawa¹ (1.Waseda Univ.)

Oral presentation

[22p-E102-1~14] FS.1 Focused Session "AI Electronics"

Tue. Mar 22, 2022 1:30 PM - 5:30 PM E102 (E102)

Atsushi Uchida(Saitama Univ.), Takao Marukame(Toshiba)

△：Presentation by Applicant for JSAP Young Scientists Presentation Award
▲：English Presentation
▼：Both of Above
No Mark：None of Above

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1:30 PM - 2:00 PM

[22p-E102-1] [INVITED] Versatile functioning created by topological control of oxygen vacancy distribution in artificial memristive synapses

〇Akira Sakai¹, Tetsuya Tohei¹, Yusuke Hayashi¹ (1.Osaka Univ.)

2:00 PM - 2:15 PM

[22p-E102-2] Analog resistance change of molecular-gap atomic switches

〇(B)Risa Matsuo¹, Kaiba Tanaka¹, Tsuyoshi Hasegawa¹ (1.Waseda Univ.)

2:15 PM - 2:30 PM

[22p-E102-3] STDP Operation Using a Molecular-gap Atomic Switch

〇Keita Tomatsuri¹, Tsuyoshi Hasegawa¹ (1.Waseda Univ.)

2:30 PM - 2:45 PM

▲ [22p-E102-4] High-density CNT/HfO₂/CNT nano-junction memristors for reservoir computing

〇(P)Adha Sukma Aji¹, Yutaka Ohno^1,2 (1.VBL, Nagoya Univ., 2.IMaSS, Nagoya Univ.)

2:45 PM - 3:00 PM

[22p-E102-5] Multimodal Spike Coding for Memcapacitive Neuromorphic System

Reon Oshio¹, Atsushi Sawada¹, 〇Mutsumi Kimura^1,2, Renyuan Zhang¹, Yasuhiko Nakashima¹ (1.NAIST, 2.Ryukoku Univ.)

3:00 PM - 3:15 PM

[22p-E102-6] Low Energy Consumption Event-driven SRAM Computation-in-Memory (CiM) for Event-based Vision Sensor (EVS)

〇Chihiro Matsui¹, Kazuhide Higuchi¹, Shunsuke Koshino¹, Ken Takeuchi¹ (1.Univ. Tokyo)

3:15 PM - 3:30 PM

[22p-E102-7] Neural Network Accuracy Evaluation Simulator for Computation-in-Memory with Non ideality of Memory Devices

〇Kazuhide Higuchi¹, Chihiro Matsui¹, Naoko Misawa¹, Ken Takeuchi¹ (1.Univ. of Tokyo)

3:45 PM - 4:00 PM

[22p-E102-8] Fast optical single-pixel image classifier for detecting nanosecond phenomena

Jinsei Hanawa¹, Tomoaki Niiyama¹, 〇Satoshi Sunada^1,2 (1.Kanazawa Univ., 2.JST PRESTO)

4:00 PM - 4:15 PM

[22p-E102-9] Photonic Reservoir Computing Utilizing Membrane SOAs on Si-MZI

〇Takuma Tsurugaya¹, Tatsurou Hiraki¹, Takuma Aihara¹, Mitsumasa Nakajima¹, Koji Takeda¹, Toru Segawa¹, Shinji Matsuo¹ (1.NTT Device Technology Labs)

4:15 PM - 4:30 PM

△ [22p-E102-10] Collective decision making through quantum interference and its application to multi-agent reinforcement learning

〇(M1)Hiroaki Shinkawa¹, Nicolas Chauvet¹, Guillaume Bachelier², Serge Huant², Andre Roehm¹, Ryoichi Horisaki¹, Makoto Naruse¹ (1.Univ. Tokyo, 2.Univ. Grenoble Alpes)

4:30 PM - 4:45 PM

[22p-E102-11] Phase-Retrieval Coherent Detection with On-Chip Photonic Linear Processing and
Digital Signal Processing

〇Mitsumasa Nakajima¹, Toshikazu Hashimoto¹ (1.NTT Device Technology Labs.)

4:45 PM - 5:00 PM

[22p-E102-12] Estimating the Gradient on Quantum Processor Unit for Variational Quantum Eigensolver

〇Daisuke Tsukayama¹, Tsukasa Miki¹, Ryo Okita¹, Jun-ichi Shirakashi¹, Hiroshi Imai² (1.Tokyo Univ. Agr. & Tech., 2.Univ. Tokyo)

5:00 PM - 5:15 PM

△ [22p-E102-13] Reconstruction Fidelity for Ansatz State in Divide-and-Conquer Approaches with Variational Quantum Algorithms

〇Tsukasa Miki¹, Ryo Okita¹, Daisuke Tsukayama¹, Jun-ichi Shirakashi¹, Hiroshi Imai² (1.Tokyo Univ. Agr. & Tech., 2.Univ. Tokyo)

5:15 PM - 5:30 PM

[22p-E102-14] Influence of Observables on Quantum Reservoir Computing Using Quantum Processor

〇Daiki Hagiwara¹, Tadamasa Ooka¹, Yudai Tanaka¹, Tsukasa Miki¹, Jun-ichi Shirakashi¹ (1.Tokyo Univ. Agr. & Tech.)

Oral presentation

[23a-E102-1~8] FS.1 Focused Session "AI Electronics"

Wed. Mar 23, 2022 9:00 AM - 11:30 AM E102 (E102)

Takao Marukame(Toshiba), Norio Sato(NTT)

△：Presentation by Applicant for JSAP Young Scientists Presentation Award
▲：English Presentation
▼：Both of Above
No Mark：None of Above

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9:00 AM - 9:30 AM

[23a-E102-1] [INVITED] Traffic Signal Optimization on a Large City with Quantum Annealing Machines

〇Daisuke Inoue¹ (1.Toyota CRDL)

9:30 AM - 9:45 AM

[23a-E102-2] ReRAM based Computation-in-Memory with Log-encoding for Combinatorial Optimization Problems

〇Naoko Misawa¹, Chihiro Matsui¹, Ken Takeuchi¹ (1.Univ. of Tokyo)

9:45 AM - 10:00 AM

[23a-E102-3] Optimization of Active Layer in Quantum Cascade Laser using coupled simulation of Non-Equilibrium Green's Function and Genetic Algorithm (GA)

〇Shigeyuki Takagi¹, Hirotaka Tanimura¹, Tsutomu Kakuno², Rei Hashimoto², Kei Kaneko², Shinji Saito² (1.TUT Univ., 2.TOSHIBA Corp.)

10:00 AM - 10:15 AM

[23a-E102-4] Optimization of RF frequencies for dual-frequency plasma using genetic algorithm (GA) and plasma simulation

〇Shigeyuki Takagi¹, Tatsuhiro Nakaegawa¹, Shih-nan Hsiao², Makoto Sekine² (1.TUT Univ., 2.Nagoya Univ.)

10:30 AM - 10:45 AM

[23a-E102-5] Simulated bifurcation assisted by thermal fluctuation

〇Taro Kanao¹, Hayato Goto¹ (1.Toshiba R&D Center)

10:45 AM - 11:00 AM

[23a-E102-6] Performance of Quantum Annealer for Tracking Control Problems

〇Kanako Hirai¹, Yuri Yoneda¹, Moe Shimada¹, Tsukasa Miki¹, Asaki Yoshida¹, Jun-ichi Shirakashi¹ (1.Tokyo Univ. Agr. & Tech.)

11:00 AM - 11:15 AM

[23a-E102-7] Development of an Ising Mapping Method to Apply Annealing Machine for Optimizing High-dimensional Recipe in Manufacturing Tool

〇Takeshi Ohmori¹, Nakada Hyakka² (1.Hitachi R&D, 2.Recruit Data M&P)

11:15 AM - 11:30 AM

▲ [23a-E102-8] Improving the Success Rate of Coherent Ising Machine for Solving Optimization Problems through Gaussian Colored Noise

〇Zhiqiang Liao¹, Kaijie Ma¹, Md Shamim Sarker¹, Siyi Tang¹, Hiroyasu Yamahara¹, Munetoshi Seki¹, Hitoshi Tabata¹ (1.Univ. of Tokyo)

Oral presentation

[23p-E102-1~14] FS.1 Focused Session "AI Electronics"

Wed. Mar 23, 2022 1:30 PM - 5:15 PM E102 (E102)

Hirofumi Tanaka(Kyushu Inst. of Tech.), Seiya Kasai(Hokkaido Univ.)

△：Presentation by Applicant for JSAP Young Scientists Presentation Award
▲：English Presentation
▼：Both of Above
No Mark：None of Above

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1:30 PM - 1:45 PM

[23p-E102-1] Reservoir Computing utilizing spin waves propagating through magnetic domains

〇Ryosho Nakane¹, Akira Hirose¹, Gouhei Tanaka^1,2,3 (1.Eng., Univ. of Tokyo, 2.IRCN, Univ. of Tokyo, 3.Inform., Univ. of Tokyo)

1:45 PM - 2:00 PM

[23p-E102-2] Photonic neural field dynamics and its application to reservoir computing

〇(M1)Kohei Arai¹, Jinsei Hanawa¹, Tomoya Yamaguchi¹, Tomoaki Niiyama¹, Satoshi Sunada^1,2 (1.Kanazawa Univ., 2.JST PRESTO)

2:00 PM - 2:15 PM

[23p-E102-3] Evaluation of Nonlinear Time-series Prediction by Reservoir Computing Using Multi-terminal FeFET

〇Kasidit Toprasertpong¹, Eishin Nako¹, Zeyu Wang¹, Ryosho Nakane¹, Mitsuru Takenaka¹, Shinichi Takagi¹ (1.Univ. Tokyo)

2:15 PM - 2:30 PM

△ [23p-E102-4] Examination of reservoir computing using Ferroelectric MFM capacitors and impact of operation voltage

〇Eishin Nako¹, Kasidit Toprasertpong¹, Zeyu Wang¹, Ryosho Nakane¹, Mitsuru Takenaka¹, Shinichi Takagi¹ (1.Univ. Tokyo)

2:30 PM - 2:45 PM

△ [23p-E102-5] Information processing capacity of a physical reservoir

〇Tomoyuki Kubota¹, Kohei Nakajima¹ (1.The Univ. of Tokyo)

2:45 PM - 3:00 PM

△ [23p-E102-6] Evaluation of information processing performance in 1D1R (1 Diode-1 Reservoir device) structure

〇Takuma Matsuo^1,2, Dan Sato^1,2, Sang-Gyu Koh^1,2, Hisashi Shima², Yasuhisa Naitoh², Hiroyuki Akinaga², Toshiyuki Itoh³, Toshiki Nokami⁴, Masakazu Kobayashi⁵, Kentaro Kinoshita¹ (1.Tokyo Univ. of Science, 2.AIST, 3.Toyota Physical and Chemical Research Institute, 4.Tottori Univ., 5.NAGASE & CO., LTD.)

3:00 PM - 3:15 PM

△ [23p-E102-7] Metal ion species dependence in performance evaluation of ionic liquid reservoir devices

〇Dan Sato^1,2, Takuma Matsuo^1,2, Sang-Gyu Koh^1,2, Hisashi Shima², Yasuhisa Naitoh², Hiroyuki Akinaga², Toshiki Nokami³, Toshiyuki Itoh⁴, Masakazu Kobayashi⁵, Kentaro Kinoshita¹ (1.Tokyo Univ. of Sci., 2.AIST, 3.Tottori Univ., 4.Toyota Physical and Chemical Research Institute, 5.NAGASE & CO., LTD.)

3:15 PM - 3:30 PM

[23p-E102-8] Improving performance by complementary and cooperative learning with ionic liquid reservoirs

〇Asahi Arai¹, Sang-Gyu Koh¹, Taiki Koide¹, Renta Sato¹, Ichiro Ohira¹, Kentaro Kinoshita¹ (1.Tokyo Univ of Sci.)

3:45 PM - 4:00 PM

[23p-E102-9] Frequency Dependence of an Ag₂S Island Network Reservoir

〇Yosuke Shimizu¹, Motoharu Nakazima¹, Kazuki Minegishi¹, Tsuyoshi Hasegawa¹ (1.Waseda Univ.)

4:00 PM - 4:15 PM

[23p-E102-10] Reproducibility Improvement of an Ag₂S Island Network Reservoir for Logic Operation

〇Kazuki Minegishi¹, Motoharu Nakajima¹, Yosuke Shimizu¹, Yuki Usami², Hirofumi Tanaka², Tsuyoshi Hasegawa¹ (1.Waseda Univ., 2.Kyutech.)

4:15 PM - 4:30 PM

[23p-E102-11] Simulation of Atomic Switch-based Reservoir

〇(B)Yusuke Murase¹, Hasegawa Tsuyoshi¹ (1.Waseda Univ.)

4:30 PM - 4:45 PM

[23p-E102-12] Physical Reservoir Computing Using Series-Parallel-Connected Au Nanogaps

〇Yudai Tanaka¹, Tsukasa Miki¹, Moe Shimada¹, Keita Sakai¹, Mamiko Yagi², Mitsuki Ito³, Jun-ichi Shirakashi¹ (1.Tokyo Univ. Agr. & Tech., 2.NIT, Ichinoseki College, 3.NIT, Kushiro College)

4:45 PM - 5:00 PM

[23p-E102-13] Physical Deep Learning with Augmented Direct Feedback Alignment and Its Optoelectronic Implementation

〇Mitsumasa Nakajima¹, Katsuma Inoue², Kenji Tanaka, Yasuo Kuniyoshi², Toshikazu Hashimoto¹, Kohei Nakajima² (1.NTT Device Technology Labs., 2.Tokyo Univ.)

5:00 PM - 5:15 PM

[23p-E102-14] Optical skin: Multimodal soft sensing based on machine learning and optical scattering

Sho Shimadera¹, Kei Kitagawa¹, Koyo Sagehashi¹, Tomoaki Niiyama¹, 〇Satoshi Sunada^1,2 (1.Kanazawa Univ., 2.JST PRESTO)

Sessions

FS Focused Session "AI Electronics" » FS.1 Focused Session "AI Electronics"

[22a-E102-1~8] FS.1 Focused Session "AI Electronics"

▲ [22a-E102-2] High Symmetry and Linearity in Weight Update with GeTe/Sb2Te3 Superlattice-like Structure for Artificial Synapse

[22p-E102-1~14] FS.1 Focused Session "AI Electronics"

▲ [22p-E102-4] High-density CNT/HfO2/CNT nano-junction memristors for reservoir computing

△ [22p-E102-10] Collective decision making through quantum interference and its application to multi-agent reinforcement learning

△ [22p-E102-13] Reconstruction Fidelity for Ansatz State in Divide-and-Conquer Approaches with Variational Quantum Algorithms

[23a-E102-1~8] FS.1 Focused Session "AI Electronics"

▲ [23a-E102-8] Improving the Success Rate of Coherent Ising Machine for Solving Optimization Problems through Gaussian Colored Noise

[23p-E102-1~14] FS.1 Focused Session "AI Electronics"

△ [23p-E102-4] Examination of reservoir computing using Ferroelectric MFM capacitors and impact of operation voltage

△ [23p-E102-5] Information processing capacity of a physical reservoir

△ [23p-E102-6] Evaluation of information processing performance in 1D1R (1 Diode-1 Reservoir device) structure

△ [23p-E102-7] Metal ion species dependence in performance evaluation of ionic liquid reservoir devices

Authenticate

▲ [22a-E102-2] High Symmetry and Linearity in Weight Update with GeTe/Sb₂Te₃ Superlattice-like Structure for Artificial Synapse

▲ [22p-E102-4] High-density CNT/HfO₂/CNT nano-junction memristors for reservoir computing