activity
19982022
most citedExpanding the horizon of automated metamaterials discovery via quantum annealing

190 citations · 759 across the 42 of their papers we have counts for

collaborators

42 papers

cs.LG2022★ 8 cited

Black-box optimization for integer-variable problems using Ising machines and factorization machines

Yuya Seki, Ryo Tamura, Shu Tanaka

Black-box optimization has potential in numerous applications such as hyperparameter optimization in machine learning and optimization in design of experiments. Ising machines are…

quant-ph2021★ 2 cited

Continuous black-box optimization with quantum annealing and random subspace coding

Syun Izawa, Koki Kitai, Shu Tanaka +2

A black-box optimization algorithm such as Bayesian optimization finds extremum of an unknown function by alternating inference of the underlying function and optimization of an ac…

cond-mat.mtrl-sci2020★ 8 cited

Data-driven determination of the spin Hamiltonian parameters and their uncertainties: The case of the zigzag-chain compound KCuPO

Ryo Tamura, Koji Hukushima, Akira Matsuo +2

We propose a data-driven technique to estimate the spin Hamiltonian, including uncertainty, from multiple physical quantities. Using our technique, an effective model of KCuP$_…

cond-mat.supr-con2020★ 6 cited

Phenomenology of the chiral -wave state in the hexagonal pnictide superconductor SrPtAs

Hikaru Ueki, Shoma Inagaki, Ryota Tamura +5

The pairing symmetry of the hexagonal pnictide superconductor SrPtAs is discussed with taking into account its multiband structure. The topological chiral -wave state with time-…

cond-mat.mes-hall2019★ 5 cited

Valley current filtering and reversal by parallel side contacted armchair nanotubes

Ryo Tamura

The intertube conductance of the parallel side contacted armchair nanotubes is calculated by Landauer's formula as a function of the Fermi level . When the intertube differe…

physics.app-ph2019★ 190 cited

Expanding the horizon of automated metamaterials discovery via quantum annealing

Koki Kitai, Jiang Guo, Shenghong Ju +4

Complexity of materials designed by machine learning is currently limited by the inefficiency of classical computers. We show how quantum annealing can be incorporated into automat…