3 citations · 3 across the 2 of their papers we have counts for
2 papers
quant-ph2026
Quantum Extreme Reservoir Computing for Phase Classification of Polymer Alloy Microstructures
Arisa Ikeda, Akitada Sakurai, Kae Nemoto +1
Quantum machine learning (QML) is expected to offer new opportunities to process high-dimensional data efficiently by exploiting the exponentially large state space of quantum syst…
cs.CE2024★ 3 cited
Conditional diffusion model for inverse prediction of process parameters and dendritic microstructures from mechanical properties
Arisa Ikeda, Ryo Higuchi, Tomohiro Yokozeki +4
In this study, we develop a conditional diffusion model that proposes the optimal process parameters and predicts the microstructure for the desired mechanical properties. In mater…