190 citations · 197 across the 4 of their papers we have counts for
4 papers
Black-box optimization using factorization and Ising machines
Ryo Tamura, Yuya Seki, Yuki Minamoto +4
Black-box optimization (BBO) is used in materials design, drug discovery, and hyperparameter tuning in machine learning. The world is experiencing several of these problems. In thi…
Boosting the quality factor of Tamm structures to millions by quantum inspired classical annealer with factorization machine
Jiang Guo, Koki Kitai, Hideyuki Jippo +1
The Tamm structures show high quality (Q) factor property with simple photonic Bragg reflectors composed of alternative high/low refractive index layers and metal reflectors. Howev…
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…
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…