101 citations · 218 across the 9 of their papers we have counts for
3 papers · 1 filter
Beyond Optimization: Harnessing Quantum Annealer Dynamics for Machine Learning
Akitada Sakurai, Aoi Hayashi, Tadayoshi Matsumori +3
Quantum annealing is typically regarded as a tool for combinatorial optimization, but its coherent dynamics also offer potential for machine learning. We present a model that encod…
Experimental implementation of quantum greedy optimization on quantum computer
Tadayoshi Matsumori, Tadashi Kadowaki
This paper implements a quantum greedy optimization algorithm based on the discretization of time evolution (d-QGO). Quantum greedy optimization, which was originally developed for…
Design Optimization of Noise Filter using Quantum Annealer
Akihisa Okada, Hiroaki Yoshida, Kiyosumi Kidono +3
The use of quantum annealers in black-box optimization to obtain the desired properties of a product with a small number of trials has attracted attention. However, the application…