Oral presentation

[19a-Z34-1~11] FS.1 Focused Session "AI Electronics"

Fri. Mar 19, 2021 9:00 AM - 12:00 PM Z34 (Z34)

△：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

[19a-Z34-1] Driving methods of time-series learning with analog neuron circuit and synapse device

〇Takao Marukame¹, Junichi Sugino², Toshimitsu Kitamura², Koji Takahashi², Yutaka Tamura², Koichi Mizushima¹, Kumiko Nomura¹, Yoshifumi Nishi¹ (1.Toshiba RDC, 2.TJ)

9:15 AM - 9:30 AM

△ [19a-Z34-2] Creation of polymer wire synapse capable of forming long-term and short-term memory

〇Naruki Hagiwara¹, Shoma Sekizaki¹, Yuji Kuwahara¹, Tetsuya Asai², Megumi Akai-Kasaya^1,2 (1.Osaka Univ., 2.Hokkaido Univ.)

9:30 AM - 9:45 AM

△ [19a-Z34-3] Gate-controlled modulation of synaptic properties in 4-terminal planar TiO_2-x memristive devices

〇Kenta Adachi¹, Yusuke Hayashi¹, Tetsuya Tohei¹, Akira Sakai¹ (1.Osaka Univ)

9:45 AM - 10:00 AM

△ [19a-Z34-4] Development and resistive switching properties of four-terminal planer amorphous GaO_x memristive devices

〇(M1)Taishi Ikeuchi¹, Yusuke Hayashi¹, Tetsuya Tohei¹, Akira Sakai¹ (1.Osaka Univ.)

10:00 AM - 10:15 AM

[19a-Z34-5] Brain-mimic type optoelectronic memory function of vertically-aligned graphene/diamond heterojunctions

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

10:30 AM - 10:45 AM

[19a-Z34-6] Analysis of state exploration in Photonic Q-learning

〇Takashi Urushibara¹, Nicolas Chauvet¹, Satoshi Sunada², Kazutaka Kanno³, Atsushi Uchida³, Ryoichi Horisaki¹, Makoto Naruse¹ (1.Univ. Tokyo, 2.Kanazawa Univ., 3.Saitama Univ.)

10:45 AM - 11:00 AM

△ [19a-Z34-7] Variational Quantum Eigensolver with IBM’s Quantum Computers

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

11:00 AM - 11:15 AM

[19a-Z34-8] Variational Quantum Circuits for Eigenvalue Problem Using Quantum Computers

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

11:15 AM - 11:30 AM

[19a-Z34-9] Quantum Approximate Optimization Algorithm using Quantum Processor Unit

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

11:30 AM - 11:45 AM

[19a-Z34-10] Computational Properties of Quantum Annealing Machines with Different Topologies

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

11:45 AM - 12:00 PM

[19a-Z34-11] Ground-State Search by Sparsifying Connected Spins in Majority Voting Method Using Ising Spin Computing

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

Oral presentation

[19p-Z34-1~17] FS.1 Focused Session "AI Electronics"

Fri. Mar 19, 2021 1:30 PM - 6:00 PM Z34 (Z34)

Kenichi Kawaguchi(Fujitsu Lab.), Megumi Akai(北大)

△：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

△ [19p-Z34-1] Memory-nonlinearity trade-off on the number of delayed feedback loops in optoelectronic reservoir computing

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

1:45 PM - 2:00 PM

△ [19p-Z34-2] Investigation of the relationship between the number of layers and performance in photonic deep reservoir computing using a semiconductor laser with optical feedback

〇Hiroshi Hasegawa¹, Kazutaka Kanno¹, Atsushi Uchida¹ (1.Saitama Univ.)

2:00 PM - 2:15 PM

△ [19p-Z34-3] [Highlight]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)

2:15 PM - 2:30 PM

△ [19p-Z34-4] Learning-based multi-modal sensing with optical speckle patterns in soft-materials

〇(M1)Sho Shimadera¹, Tomoaki Niiyama¹, Satoshi Sunada^1,2 (1.Kanazawa Univ., 2.JST PRESTO)

2:30 PM - 2:45 PM

△ [19p-Z34-5] Physical Reservoir Computing on Atomic Switch Arrays with High Precision and Excellent Memory Characteristics

〇(M1)Hiroshi Kubota¹, Tsuyoshi Hasegawa², Megumi Akai-Kasaya¹, Tetsuya Asai¹ (1.Hokkaido Univ., 2.Waseda Univ.)

2:45 PM - 3:00 PM

△ [19p-Z34-6] Bifurcations and information processing capacity in coupled spintronics reservoirs

〇(D)Nozomi Akashi¹, Sumito Tsunegi², Tomohiro Taniguchi², Mitsuhiro Nishida³, Ryo Sakurai³, Yasumichi Wakao³, Kohei Nakajima¹ (1.Univ. Tokyo, 2.AIST, 3.Bridgestone)

3:00 PM - 3:15 PM

▼ [19p-Z34-7] Reservoir computing enhancement in three-dimensional porous CNT-POM network

〇(P)Saman Azhari^1,2, Deep Banerjee¹, Takumi Kotooka¹, Yuki Usami^1,2, Hirofumi Tanaka^1,2 (1.Graduate School of Life Science and Systems Engineering (Human Intelligence Systems), Kyushu Institute of Technology (Kyutech), 2.Research Center for Neuromorphic AI Hardware, Kyushu Institute of Technology (Kyutech))

3:15 PM - 3:30 PM

▼ [19p-Z34-8] Impact of gate input pulse width on FeFET-based reservoir computing

〇Zeyu Wang¹, Kasidit Toprasertpong¹, Zaoyang Lin¹, Eishin Nako¹, Ryosho Nakane¹, Mitsuru Takenaka¹, Shinichi Takagi¹ (1.Univ. Tokyo)

3:30 PM - 3:45 PM

△ [19p-Z34-9] Characterizing multilayer neural networks with the Lyapunov exponents

〇(M1)Misaki Kondo¹, Niiyama Tomoaki¹, Sunada Satosi^1,2 (1.Kanazawa Univ., 2.JST PRESTO.)

4:00 PM - 4:15 PM

[19p-Z34-10] Reservoir computing using a ferroelectric MFM capacitor

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

4:15 PM - 4:30 PM

[19p-Z34-11] Formation and connection of electric reservoir nodes using nonlinear Esaki diodes

〇(M2)Shunsuke Saitoh¹, Kenichi Kawaguchi², Seiya Kasai¹ (1.RCIQE,Hokkaido Univ, 2.Fujitsu Lab)

4:30 PM - 4:45 PM

[19p-Z34-12] Numerical simulation of reservoir computing using domain wall motion in nanowires

〇Hikaru Nomura^1,2, Kazuki Takahashi¹, Kohei Enju¹, Minori Goto^1,2, Yoshishige Suzuki^1,2 (1.Osaka Univ., 2.CSRN-Osaka)

4:45 PM - 5:00 PM

[19p-Z34-13] MEMS reservoir computing using frequency-modulated accelerometer

〇(B)Takahiro Mizumoto¹, Yoshikazu Hirai¹, Toshiyuki Tsuchiya¹ (1.Kyoto Univ.)

5:00 PM - 5:15 PM

[19p-Z34-14] Prediction of Quantized Conductance in Au Nanowire Using Reservoir Computing

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

5:15 PM - 5:30 PM

[19p-Z34-15] Structure recognition by schubert polynomial generated by nearfield patterns and its scalability

〇Sota Nakajima¹, Hirotsugu Suzui², Kazuharu Uchiyama³, Hirokazu Hori³, Nicolas Chauvet^1,2, Ryoichi Horisaki^1,2, Makoto Naruse^1,2 (1.Faculty of Eng., Univ. Tokyo, 2.Information Physics and Computing, Univ. Tokyo, 3.Univ. Yamanashi)

5:30 PM - 5:45 PM

[19p-Z34-16] Identification of optimal solution in multi-armed bandit problems by interspecific competition dynamics

〇Tomoaki Niiyama¹, Genki Furuhata¹, Atsushi Uchida², Makoto Naruse³, Satoshi Sunada^1,4 (1.Kanazawa Univ., 2.Saitama Univ., 3.Univ. of Tokyo, 4.JST PREST)

5:45 PM - 6:00 PM

[19p-Z34-17] Quantum Reservoir Computing with Quantum Processor Unit

〇Kenta Watanabe¹, Ryo Okita¹, Tsukasa Miki¹, Ryoya Koyama¹, Jun-ichi Shirakashi¹ (1.Tokyo Univ. Agr. & Tech.)

Sessions

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

[19a-Z34-1~11] FS.1 Focused Session "AI Electronics"

[19a-Z34-1] Driving methods of time-series learning with analog neuron circuit and synapse device

△ [19a-Z34-2] Creation of polymer wire synapse capable of forming long-term and short-term memory

△ [19a-Z34-3] Gate-controlled modulation of synaptic properties in 4-terminal planar TiO_2-x memristive devices

△ [19a-Z34-4] Development and resistive switching properties of four-terminal planer amorphous GaO_x memristive devices

[19a-Z34-5] Brain-mimic type optoelectronic memory function of vertically-aligned graphene/diamond heterojunctions

[19a-Z34-6] Analysis of state exploration in Photonic Q-learning

△ [19a-Z34-7] Variational Quantum Eigensolver with IBM’s Quantum Computers

[19a-Z34-8] Variational Quantum Circuits for Eigenvalue Problem Using Quantum Computers

[19a-Z34-9] Quantum Approximate Optimization Algorithm using Quantum Processor Unit

[19a-Z34-10] Computational Properties of Quantum Annealing Machines with Different Topologies

[19a-Z34-11] Ground-State Search by Sparsifying Connected Spins in Majority Voting Method Using Ising Spin Computing

[19p-Z34-1~17] FS.1 Focused Session "AI Electronics"

△ [19p-Z34-1] Memory-nonlinearity trade-off on the number of delayed feedback loops in optoelectronic reservoir computing

△ [19p-Z34-2] Investigation of the relationship between the number of layers and performance in photonic deep reservoir computing using a semiconductor laser with optical feedback

△ [19p-Z34-3] [Highlight]Photonic Reservoir Computing Using Low-Power-Consumption SOA

△ [19p-Z34-4] Learning-based multi-modal sensing with optical speckle patterns in soft-materials

△ [19p-Z34-5] Physical Reservoir Computing on Atomic Switch Arrays with High Precision and Excellent Memory Characteristics

△ [19p-Z34-6] Bifurcations and information processing capacity in coupled spintronics reservoirs

▼ [19p-Z34-7] Reservoir computing enhancement in three-dimensional porous CNT-POM network

▼ [19p-Z34-8] Impact of gate input pulse width on FeFET-based reservoir computing

△ [19p-Z34-9] Characterizing multilayer neural networks with the Lyapunov exponents

[19p-Z34-10] Reservoir computing using a ferroelectric MFM capacitor

[19p-Z34-11] Formation and connection of electric reservoir nodes using nonlinear Esaki diodes

[19p-Z34-12] Numerical simulation of reservoir computing using domain wall motion in nanowires

[19p-Z34-13] MEMS reservoir computing using frequency-modulated accelerometer

[19p-Z34-14] Prediction of Quantized Conductance in Au Nanowire Using Reservoir Computing

[19p-Z34-15] Structure recognition by schubert polynomial generated by nearfield patterns and its scalability

[19p-Z34-16] Identification of optimal solution in multi-armed bandit problems by interspecific competition dynamics

[19p-Z34-17] Quantum Reservoir Computing with Quantum Processor Unit

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Sessions

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

[19a-Z34-1~11] FS.1 Focused Session "AI Electronics"

△ [19a-Z34-2] Creation of polymer wire synapse capable of forming long-term and short-term memory

△ [19a-Z34-3] Gate-controlled modulation of synaptic properties in 4-terminal planar TiO2-x memristive devices

△ [19a-Z34-4] Development and resistive switching properties of four-terminal planer amorphous GaOx memristive devices

△ [19a-Z34-7] Variational Quantum Eigensolver with IBM’s Quantum Computers

[19p-Z34-1~17] FS.1 Focused Session "AI Electronics"

△ [19p-Z34-1] Memory-nonlinearity trade-off on the number of delayed feedback loops in optoelectronic reservoir computing

△ [19p-Z34-2] Investigation of the relationship between the number of layers and performance in photonic deep reservoir computing using a semiconductor laser with optical feedback

△ [19p-Z34-3] [Highlight]Photonic Reservoir Computing Using Low-Power-Consumption SOA

△ [19p-Z34-4] Learning-based multi-modal sensing with optical speckle patterns in soft-materials

△ [19p-Z34-5] Physical Reservoir Computing on Atomic Switch Arrays with High Precision and Excellent Memory Characteristics

△ [19p-Z34-6] Bifurcations and information processing capacity in coupled spintronics reservoirs

▼ [19p-Z34-7] Reservoir computing enhancement in three-dimensional porous CNT-POM network

▼ [19p-Z34-8] Impact of gate input pulse width on FeFET-based reservoir computing

△ [19p-Z34-9] Characterizing multilayer neural networks with the Lyapunov exponents

Authenticate

△ [19a-Z34-3] Gate-controlled modulation of synaptic properties in 4-terminal planar TiO_2-x memristive devices

△ [19a-Z34-4] Development and resistive switching properties of four-terminal planer amorphous GaO_x memristive devices