Session Details
[9a-F212-1~11]KS.2 Quantum Information Engineering Group
Wed. Sep 9, 2026 9:00 AM - 12:00 PM JST
Wed. Sep 9, 2026 12:00 AM - 3:00 AM UTC
Wed. Sep 9, 2026 12:00 AM - 3:00 AM UTC
F212 (Frontier Rsch. in Applied Sci. Bld.)
[9a-F212-1][The 60th Young Scientist Presentation Award Speech] Solving Real-World Problems with Full Quantum Algorithms Toward FTQC: Experimental Parameter Optimization in Atomic Junction Fabrication via Quantum Gradient Descent
〇Takumi Kanezashi1, Juncheng Wang1, Tomoki Matsunaga1, Haruya Nagata1, Koki Awaya1, Qingxuan Lin1, Jun-ichi Shirakashi1, Tetsuo Shibuya2, Hiroshi Imai2 (1.Tokyo Univ. Agr. & Tech., 2.Univ. Tokyo)
[9a-F212-2]Combinatorial Optimization Using Full Quantum Algorithm Based on Probabilistic Implementation of Imaginary-Time Evolution on Gate-Based Quantum Computer
〇Tomoki Matsunaga1, Takumi Kanezashi1, Haruya Nagata1, Koki Awaya1, Jun-ichi Shirakashi1, Tetsuo Shibuya2, Hiroshi Imai2 (1.Tokyo Univ. Agr. & Tech., 2.Univ. Tokyo)
[9a-F212-3]Combinatorial Optimization Using Riemannian Gradient Descent Based on Unitary-Approximated Imaginary-Time Evolution on Quantum Computers
〇Haruya Nagata1, Takumi Kanezashi1, Tomoki Matsunaga1, Koki Awaya1, Juncheng Wang1, Jun-ichi Shirakashi1, Tetsuo Shibuya2, Hiroshi Imai2 (1.Tokyo Univ. Agr. & Tech., 2.Univ. Tokyo)
[9a-F212-4]Optimization of Experimental Parameters Using Variational Quantum Eigensolver for Different Databases Obtained from Fabrication of Atomic Junctions
〇Koki Awaya1, Moe Shimada1, Takumi Kanezashi1, Jargalsaikhan Artag1, Yu Zhao1, Jun-ichi Shirakashi1, Tetsuo Shibuya2, Hiroshi Imai2 (1.Tokyo Univ. Agr. & Tech., 2.Univ. Tokyo)
[9a-F212-5]Unconstrained Optimization of Experimental Parameters Using All-Valid-State HOBO for Fabrication of Atomic Junctions
〇Juncheng Wang1, Takumi Kanezashi1, Koki Awaya1, Haruya Nagata1, Qingxuan Lin1, Jun-ichi Shirakashi1, Tetsuo Shibuya2, Hiroshi Imai2 (1.Tokyo Univ. Agr. & Tech., 2.Tokyo Univ.)
[9a-F212-6]Variational Quantum Eigensolver with Conditional Value at Risk for Solving Traveling Salesman Problem
〇Qingxuan Lin1, Juncheng Wang1, Takumi Kanezashi1, Haruya Nagata1, Koki Awaya1, Jun-ichi Shirakashi1, Tetsuo Shibuya2, Hiroshi Imai2 (1.Tokyo Univ. Agr. & Tech., 2.Univ. Tokyo)
[9a-F212-7]Hybrid Quantum-Classical Architecture Search with Multi-Objective Reward Shaping for Intermediate-Complexity Quantum Machine Learning
〇Yang Xiao1, Reo Saito1, Juncheng Wang1, Koki Awaya1, Takumi Kanezashi1, Haruya Nagata1, Jun-ichi Shirakashi1, Tetsuo Shibuya2, Hiroshi Imai2 (1.Tokyo Univ. Agr. & Tech., 2.Univ. Tokyo)
[9a-F212-8]Chaotic Time-Series Prediction Using Quantum Reservoir with Time-Delayed Inputs
〇Mio Kawanabe1, Saud Cindrak2, Mami Seki1, Jun-ichi Shirakashi1, Tetsuo Shibuya3, Hiroshi Imai3 (1.Tokyo Univ. Agr. & Tech., 2.TU Ilmenau, 3.Univ. Tokyo)
[9a-F212-9]Prediction of Quantized Conductance in Au Atomic Junctions Using Time-Delayed Quantum Extreme Learning Machine
〇Mami Seki1, Mio Kawanabe1, Koki Awaya1, Jun-ichi Shirakashi1, Tetsuo Shibuya2, Hiroshi Imai2 (1.Tokyo Univ. Agr. & Tech., 2.Univ. Tokyo)
[9a-F212-10]Gray-box optimization of quantum control using natural-perturbation zeroth-order optimization
〇Takumi Mikawa1, Yuya Hikima2, Kosuke Kakuyanagi1, Shiro Saito1, Hiroshi Sawada2 (1.NTT BRL, 2.NTT CSL)
[9a-F212-11]Application of variational quantum linear solver for electron transport property
〇(M2)Kazuma Yamauchi1, Mitsuharu Uemoto1, Tomoya Ono1 (1.Kobe Univ.)
