101 citations · 218 across the 9 of their papers we have counts for
9 papers
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…
Data-Driven Discrete Geofence Design Using Binary Quadratic Programming
Keisuke Otaki, Akihisa Okada, Tadayoshi Matsumori +1
Geofences have attracted significant attention in the design of spatial and virtual regions for managing and engaging spatiotemporal events. By using geofences to monitor human act…
Reservoir Predictive Path Integral Control for Unknown Nonlinear Dynamics
Daisuke Inoue, Tadayoshi Matsumori, Gouhei Tanaka +1
Neural networks have found extensive application in data-driven control of nonlinear dynamical systems, yet fast online identification and control of unknown dynamics remain centra…
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…
Dynamical cooperation model for mitigating the segregation phase in Schelling's model
Akihisa Okada, Daisuke Inoue, Shihori Koyama +2
We consider a Schelling-like segregation model, in which the behavior of individual agents is determined by a mixed individual and global utility. With a high ratio of global utili…
Application of QUBO solver using black-box optimization to structural design for resonance avoidance
Tadayoshi Matsumori, Masato Taki, Tadashi Kadowaki
Quadratic unconstrained binary optimization (QUBO) solvers can be applied to design an optimal structure to avoid resonance. QUBO algorithms that work on a classical or quantum dev…
Reservoir Computing with Diverse Timescales for Prediction of Multiscale Dynamics
Gouhei Tanaka, Tadayoshi Matsumori, Hiroaki Yoshida +1
Machine learning approaches have recently been leveraged as a substitute or an aid for physical/mathematical modeling approaches to dynamical systems. To develop an efficient machi…
Traffic Signal Optimization on a Square Lattice with Quantum Annealing
Daisuke Inoue, Akihisa Okada, Tadayoshi Matsumori +2
The spread of intelligent transportation systems in urban cities has caused heavy computational loads, requiring a novel architecture for managing large-scale traffic. In this stud…