Oral presentation

[12a-S101-1~9] FS.1 Focused Session "AI Electronics"

Sun. Sep 12, 2021 9:00 AM - 11:30 AM S101 (Oral)

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

+Add all to schedule

9:00 AM - 9:15 AM

[12a-S101-1] [Young Scientist Presentation Award Speech] Photonic Reservoir Computing Using Low-Power-Consumption SOA

〇Takuma Tsurugaya¹, Tatsurou Hiraki¹, Mitsumasa Nakajima¹, Takuma Aihara¹, Nikolaos-Panteleimon Diamantopoulos¹, Takuro Fujii¹, Toru Segawa¹, Shinji Matsuo¹ (1.NTT Device Technology Labs)

9:15 AM - 9:30 AM

△ [12a-S101-2] Improvement of nonlinearity in ionic liquid reservoir device by using Faradaic current

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

9:30 AM - 9:45 AM

△ [12a-S101-3] Impact of degradation of electrical characteristics of FeFETs on reservoir computing

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

9:45 AM - 10:00 AM

▼ [12a-S101-4] In-materio supervised Boolean logic operation by random network of
single-walled carbon nanotube/porphyrin-polyoxometalate

〇(D)Deep Banerjee¹, Saman Azhari¹, Yuki Usami¹, Hirofumi Tanaka¹ (1.KYUTECH)

10:15 AM - 10:30 AM

▲ [12a-S101-5] Improvement in FeFET-based Reservoir Computing Capabilities by Using an Inverted Signal Scheme

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

10:30 AM - 10:45 AM

△ [12a-S101-6] Performance improvement using random bias signals in electro-optical delay-based reservoir computing

〇Asahi Tsuchida¹, Kento Saito¹, Kazutaka Kanno¹, Atsushi Uchida¹ (1.Saitama Univ)

10:45 AM - 11:00 AM

△ [12a-S101-7] Reservoir Computing on Atomic Switches with Noise

〇(M2)Hiroshi Kubota¹, Tsuyoshi Hasegawa², Megumi Akai-Kasaya¹, Tetsuya Asai¹ (1.Hokkaido Univ., 2.Waseda Univ.)

11:00 AM - 11:15 AM

[12a-S101-8] Wavefront Matching Training for Nonlinear Wave Equation Based Neural Network

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

11:15 AM - 11:30 AM

△ [12a-S101-9] Solving N-armed bandit problem with entangled orbital angular momentum.

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

Oral presentation

[12p-S101-1~15] FS.1 Focused Session "AI Electronics"

Sun. Sep 12, 2021 1:00 PM - 5:30 PM S101 (Oral)

Takao Marukame(Toshiba), Megumi Akai(北大)

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

+Add all to schedule

1:00 PM - 1:30 PM

[12p-S101-1] [INVITED] Material Intelligence generated by random network:
In-materio physical reservoir computation devices

〇Hirofumi Tanaka^1,2 (1.Neumorph Center, Kyushu Inst. Tech., 2.Graduate School of LSSE, Kyushu Inst. Tech.)

1:30 PM - 1:45 PM

[12p-S101-2] Analysis of time discount in photonic reinforcement learning

Honoka Shiratori¹, 〇Takashi Urushibara², Nicolas Chauvet^1,2, Satoshi Sunada³, Kazutaka Kanno⁴, Atsushi Uchida⁴, Ryoichi Horisaki^1,2, Makoto Naruse^1,2 (1.Faculty of Eng., Univ. Tokyo,, 2.Grad. School of Info. Sci. & Technol., Univ., 3.Kanazawa Univ., 4.Saitama Univ.)

1:45 PM - 2:00 PM

[12p-S101-3] Forming Time of Molecular-gap Atomic Switches Using a Ag-Ta₂O₅ Co-deposited Film

〇Kazuki Minegishi¹, Haruki Ishijima¹, Yosuke Shimizu¹, Naonari Tanimoto¹, Tsuyoshi Hasegawa¹ (1.Waseda Univ.)

2:00 PM - 2:15 PM

[12p-S101-4] Control of optoelectronic memory characteristics of vertically aligned graphene/diamond heterojunctions

〇Yuga Ito¹, Yuki Mizuno¹, Kenji Ueda¹ (1.Nagoya Univ.)

2:15 PM - 2:30 PM

▲ [12p-S101-5] Pulse Width Programming based on GeTe/Sb₂Te₃ Superlattice Structure for Artificial Synapse

〇(D)Shinyoung Kang¹, Soo-Min Jin², Tae-Hun Shim², Inho Nam², Jea-Gun Park², Yun-Heub Song² (1.Tohoku Univ., 2.Hanyang Univ.)

2:30 PM - 2:45 PM

[12p-S101-6] Theoretical study on probability distribution of write error rate of voltage-controlled MRAM

〇Hiroko Arai¹, Takahiro Hirofuchi², Hiroshi Imamura¹ (1.AIST RCECT, 2.AIST DigiARC)

3:00 PM - 3:30 PM

[12p-S101-7] [INVITED] Novel Functional Devices and the AI Application Based on Solid State Ionics

〇Takashi Tsuchiya¹, Tohru Tsuruoka¹, Kazuya Terabe¹ (1.NIMS)

3:30 PM - 3:45 PM

△ [12p-S101-8] Resistance switching properties of conductive polymer wire synapses

〇Naruki Hagiwara¹, Tetsuya Asai¹, Megumi Akai-Kasaya^1,2 (1.Hokkaido Univ., 2.Osaka Univ.)

3:45 PM - 4:00 PM

[12p-S101-9] Current relaxation behavior of perovskite oxide resistive memory for AI device applications

〇(M2)Yuta Hashimoto¹, Hiromasa Aoki¹, Kentaro Kinoshita¹ (1.Tokyo Univ. of Sci,)

4:00 PM - 4:15 PM

△ [12p-S101-10] Multi-Device-Partitioning Quantum State Reconstruction on Variational Quantum Eigensolver

〇Tsukasa Miki¹, Ryo Okita¹, Yuri Yoneda¹, Moe Shimada¹, Jun-ichi Shirakashi¹ (1.Tokyo Univ. Agr. & Tech.)

4:15 PM - 4:30 PM

[12p-S101-11] Optimization of QAOA with Quantum Processing Unit via Stochastic Gradient Descent

〇Ryo Okita¹, Tsukasa Miki¹, Moe Shimada¹, Jun-ichi Shirakashi¹ (1.Tokyo Univ. Agr. & Tech.)

4:30 PM - 4:45 PM

[12p-S101-12] Variational Circuits and Classical Subroutine in Variational Quantum Eigensolver

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

4:45 PM - 5:00 PM

[12p-S101-13] Learning Temporal Quantum Tomography

〇(P)Hoan Quoc Tran¹, Kohei Nakajima¹ (1.Tokyo Univ.)

5:00 PM - 5:15 PM

[12p-S101-14] Impact of Number of Qubits on Reservoir Computing Using Quantum Processer

〇Tadamasa Ooka¹, Riku Kiyokawa¹, Ryo Okita¹, Keita Sakai¹, Tsukasa Miki¹, Jun-ichi Shirakashi¹ (1.Tokyo Univ. Agr. & Tech.)

5:15 PM - 5:30 PM

[12p-S101-15] Tuning weight values by resolving imbalances at nodes in augmented artificial neural network

〇Go Shinkai¹ (1.Hitachi, Ltd.)

Oral presentation

[13a-S101-1~10] FS.1 Focused Session "AI Electronics"

Mon. Sep 13, 2021 9:00 AM - 11:45 AM S101 (Oral)

Norio Sato(NTT), Mizunori Ezaki(TOSHIBA)

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

+Add all to schedule

9:00 AM - 9:15 AM

[13a-S101-1] Evaluation of ReRAM errors in Computation-in-Memory for simulated annealing applications

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

9:15 AM - 9:30 AM

[13a-S101-2] Comparison of Spin Dynamics between Boltzmann Statistics and Ising Spin Computing Based on Logic Gates Using Extraction-Type Majority Voting Logic

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

9:30 AM - 9:45 AM

[13a-S101-3] Optimization of Experimental Parameters for Fabrication of Atomic Junctions Using Quantum Annealing Machine

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

9:45 AM - 10:00 AM

[13a-S101-4] Investigation of the Multiplier Composed of the Superconducting Flux Qubits for the Quantum Annealing

〇Daisuke Saida¹, Mutsuo Hidaka¹, Kentaro Imafuku¹, Fuminori Hirayama¹, Shuichi Nagasawa¹, Shiro Kawabata¹, Yuki Yamanashi² (1.AIST, 2.YNU)

10:00 AM - 10:15 AM

[13a-S101-5] Investigation of Crucial Components of the Quantum Annealer Specified for the Protein Folding

〇Daisuke Saida¹, Kazuhiro Iwadoh², Takeshi Yamane³, Koji Maruyama³ (1.AIST, 2.TWMU, 3.Osaka-CU)

10:30 AM - 10:45 AM

[13a-S101-6] [Highlight]FeFET Computation-in-Memory (CiM) with MAC Operation by Source-follower Read and Charge-sharing

〇Chihiro Matsui¹, Kasidit Toprasertpong¹, Shinichi Takagi¹, Ken Takeuchi¹ (1.Univ. Tokyo)

10:45 AM - 11:00 AM

[13a-S101-7] Stochastic STDP learning with binary resistive switching devices following Weibull distribution

〇Yoshifumi Nishi¹, Kumiko Nomura¹, Takao Marukame¹, Koichi Mizushima¹ (1.Toshiba RDC)

11:00 AM - 11:15 AM

[13a-S101-8] Robustness Evaluation of Direct Feedback Alignment Learning for Analog VLSI Neural Networks

〇(B)Naoki Nagamatsu¹, Hideki Murakami¹, Seiji Uenohara², Takashi Morie² (1.NIT, Kurume College, 2.Kyushu Inst. Tech.)

11:15 AM - 11:30 AM

[13a-S101-9] Neuromorphic System with Thin-Film Memdevices

〇Mutsumi Kimura^1,2, Yasuhiko Nakashima² (1.Ryukoku Univ., 2.Nara Inst. of Science and Technology (NAIST))

11:30 AM - 11:45 AM

▲ [13a-S101-10] Colored Noise Induced Synchronization of Ultra-low Power Consumption Spintronics Stochastic Neurons

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

Sessions

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

[12a-S101-1~9] FS.1 Focused Session "AI Electronics"

[12a-S101-1] [Young Scientist Presentation Award Speech] Photonic Reservoir Computing Using Low-Power-Consumption SOA

△ [12a-S101-2] Improvement of nonlinearity in ionic liquid reservoir device by using Faradaic current

△ [12a-S101-3] Impact of degradation of electrical characteristics of FeFETs on reservoir computing

▼ [12a-S101-4] In-materio supervised Boolean logic operation by random network of
single-walled carbon nanotube/porphyrin-polyoxometalate

▲ [12a-S101-5] Improvement in FeFET-based Reservoir Computing Capabilities by Using an Inverted Signal Scheme

△ [12a-S101-6] Performance improvement using random bias signals in electro-optical delay-based reservoir computing

△ [12a-S101-7] Reservoir Computing on Atomic Switches with Noise

[12a-S101-8] Wavefront Matching Training for Nonlinear Wave Equation Based Neural Network

△ [12a-S101-9] Solving N-armed bandit problem with entangled orbital angular momentum.

[12p-S101-1~15] FS.1 Focused Session "AI Electronics"

[12p-S101-1] [INVITED] Material Intelligence generated by random network:
In-materio physical reservoir computation devices

[12p-S101-2] Analysis of time discount in photonic reinforcement learning

[12p-S101-3] Forming Time of Molecular-gap Atomic Switches Using a Ag-Ta₂O₅ Co-deposited Film

[12p-S101-4] Control of optoelectronic memory characteristics of vertically aligned graphene/diamond heterojunctions

▲ [12p-S101-5] Pulse Width Programming based on GeTe/Sb₂Te₃ Superlattice Structure for Artificial Synapse

[12p-S101-6] Theoretical study on probability distribution of write error rate of voltage-controlled MRAM

[12p-S101-7] [INVITED] Novel Functional Devices and the AI Application Based on Solid State Ionics

△ [12p-S101-8] Resistance switching properties of conductive polymer wire synapses

[12p-S101-9] Current relaxation behavior of perovskite oxide resistive memory for AI device applications

△ [12p-S101-10] Multi-Device-Partitioning Quantum State Reconstruction on Variational Quantum Eigensolver

[12p-S101-11] Optimization of QAOA with Quantum Processing Unit via Stochastic Gradient Descent

[12p-S101-12] Variational Circuits and Classical Subroutine in Variational Quantum Eigensolver

[12p-S101-13] Learning Temporal Quantum Tomography

[12p-S101-14] Impact of Number of Qubits on Reservoir Computing Using Quantum Processer

[12p-S101-15] Tuning weight values by resolving imbalances at nodes in augmented artificial neural network

[13a-S101-1~10] FS.1 Focused Session "AI Electronics"

[13a-S101-1] Evaluation of ReRAM errors in Computation-in-Memory for simulated annealing applications

[13a-S101-2] Comparison of Spin Dynamics between Boltzmann Statistics and Ising Spin Computing Based on Logic Gates Using Extraction-Type Majority Voting Logic

[13a-S101-3] Optimization of Experimental Parameters for Fabrication of Atomic Junctions Using Quantum Annealing Machine

[13a-S101-4] Investigation of the Multiplier Composed of the Superconducting Flux Qubits for the Quantum Annealing

[13a-S101-5] Investigation of Crucial Components of the Quantum Annealer Specified for the Protein Folding

[13a-S101-6] [Highlight]FeFET Computation-in-Memory (CiM) with MAC Operation by Source-follower Read and Charge-sharing

[13a-S101-7] Stochastic STDP learning with binary resistive switching devices following Weibull distribution

[13a-S101-8] Robustness Evaluation of Direct Feedback Alignment Learning for Analog VLSI Neural Networks

[13a-S101-9] Neuromorphic System with Thin-Film Memdevices

▲ [13a-S101-10] Colored Noise Induced Synchronization of Ultra-low Power Consumption Spintronics Stochastic Neurons

Authenticate

Sessions

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

[12a-S101-1~9] FS.1 Focused Session "AI Electronics"

△ [12a-S101-2] Improvement of nonlinearity in ionic liquid reservoir device by using Faradaic current

△ [12a-S101-3] Impact of degradation of electrical characteristics of FeFETs on reservoir computing

▼ [12a-S101-4] In-materio supervised Boolean logic operation by random network ofsingle-walled carbon nanotube/porphyrin-polyoxometalate

▲ [12a-S101-5] Improvement in FeFET-based Reservoir Computing Capabilities by Using an Inverted Signal Scheme

△ [12a-S101-6] Performance improvement using random bias signals in electro-optical delay-based reservoir computing

△ [12a-S101-7] Reservoir Computing on Atomic Switches with Noise

△ [12a-S101-9] Solving N-armed bandit problem with entangled orbital angular momentum.

[12p-S101-1~15] FS.1 Focused Session "AI Electronics"

▲ [12p-S101-5] Pulse Width Programming based on GeTe/Sb2Te3 Superlattice Structure for Artificial Synapse

△ [12p-S101-8] Resistance switching properties of conductive polymer wire synapses

△ [12p-S101-10] Multi-Device-Partitioning Quantum State Reconstruction on Variational Quantum Eigensolver

[13a-S101-1~10] FS.1 Focused Session "AI Electronics"

▲ [13a-S101-10] Colored Noise Induced Synchronization of Ultra-low Power Consumption Spintronics Stochastic Neurons

Authenticate

▼ [12a-S101-4] In-materio supervised Boolean logic operation by random network of
single-walled carbon nanotube/porphyrin-polyoxometalate

▲ [12p-S101-5] Pulse Width Programming based on GeTe/Sb₂Te₃ Superlattice Structure for Artificial Synapse