Session Details
[23p-A302-1~13]FS.1 Focused Session "AI Electronics"
Sat. Sep 23, 2023 1:00 PM - 4:45 PM JST
Sat. Sep 23, 2023 4:00 AM - 7:45 AM UTC
Sat. Sep 23, 2023 4:00 AM - 7:45 AM UTC
A302 (KJ Hall)
Kensuke Ota(Sony Semiconductor Solutions), Takao Marukame(Toshiba)
[23p-A302-1][INVITED] Quantum information research for sustainable future factories, now and into the future
〇Takao Tomono1,2 (1.DI Div., Toppan Inc., 2.CORE, Utsunomiya Univ.)
[23p-A302-2]Variational Parameter Optimization Based on Langevin Dynamics in Variational Quantum Eigensolver
〇Daisuke Tsukayama1, Jun-ichi Shirakashi1, Hiroshi Imai2 (1.Tokyo Univ. Agr. & Tech., 2.Univ. Tokyo)
[23p-A302-3]Variational Quantum Algorithms Using Multi-Device-Partitioning Quantum State Reconstruction with Computational Basis Filter
〇Masana Kishi1, Daisuke Tsukayama1, Shanchuan Li1, Juncheng Wang1, Jun-ichi Shirakashi1, Hiroshi Imai2 (1.Tokyo Univ. Agr. & Tech., 2.Univ. Tokyo)
[23p-A302-4]Binary Encoding for Solving Traveling Salesman Problem Using Variational Quantum Eigensolver
〇Juncheng Wang1, Daisuke Tsukayama1, Shanchuan Li1, Jun-ichi Shirakashi1, Hiroshi Imai2 (1.Tokyo Univ. Agr. & Tech., 2.Univ. Tokyo)
[23p-A302-5]Constructing Hardware Efficient Ansatz Using Sequential-ADAPT-VQE
〇Shanchuan Li1, Daisuke Tsukayama1, Juncheng Wang1, Jun-ichi Shirakashi1, Hiroshi Imai2 (1.Tokyo Univ. Agr. & Tech., 2.Univ. Tokyo)
[23p-A302-6]Optimizing Experimental Parameters for Fabrication of Atomic Junctions Using Variational Quantum Eigensolver
〇Takumi Kanezashi1, Daisuke Tsukayama1, Juncheng Wang1, Shanchuan Li1, Jun-ichi Shirakashi1, Hiroshi Imai2 (1.Tokyo Univ. Agr. & Tech., 2.Univ. Tokyo)
[23p-A302-7]Orbital Optimize Method in ADAPT VQE
〇(M2)Jianfei Yang1, Takeshi Sato1, Kenichi Ishikawa1, Yuki Orimo1 (1.The University of Tokyo School of Engineering)
[23p-A302-8]Exploring Hamiltonian in Reservoir Computing Using Quantum Annealer
〇Norihide Ushizaka1, Daisuke Tsukayama1, Moe Shimada1, Jun-ichi Shirakashi1 (1.Tokyo Univ. Agr. & Tech.)
[23p-A302-9]Quantum reservoir probing of information scrambling
〇Kaito Kobayashi1, Yukitoshi Motome1 (1.Univ. of Tokyo)
[23p-A302-10]Speech Recognition with Time-Delayed In-Materio Reservoir Computation
〇(M2)Ahmet KARACALI1, Oradee Srikimkaew1, Yuki Usami1,2, Hirofumi Tanaka1,2 (1.LSSE, Kyushu Inst. Technol. (Kyutech), 2.Neuromorphic Center, Kyutech)
[23p-A302-11]Fabrication of photocurrent type physical reservoir device using zinc oxide nanoparticle/cellulose nanofiber composite film.
〇(DC)Hiroaki Komatsu1, Norika Hosoda1, Takashi Ikuno1 (1.Tokyo Univ. Science.)
[23p-A302-12]Reservoir computing properties of large-scale modular neuronal networks
〇Koki Ito1,2, Hideaki Yamamoto1, Takuma Sumi1,2, Yuichi Katori4, Shigeo Sato1, Ayumi Hirano-Iwata1,2,3 (1.RIEC, Tohoku Univ., 2.Grad. Sch. Biomed. Eng., Tohoku Univ., 3.AIMR, Tohoku.Univ., 4.Future Univ. Hakodate)
[23p-A302-13]Physical reservoir devices with multiple outputs using a variation of electrochemical reactions of metal electrodes
〇Shotaro Hirooka1, Haruya Inatsu1, Motomasa Nakagawa1, Ryo Yamada1, Hirokazu Tada1 (1.Osaka Univ.)