3 papers
quant-ph2026
Micro-mobility dispatch optimization via quantum annealing incorporating historical data
Takeru Goto, Masayuki Ohzeki
This paper proposes a novel dispatch formulation for micro-mobility vehicles using a Quantum Annealer (QA). In recent years, QA has gained increasing attention as a high-performanc…
quant-ph2025
Subgradient Method using Quantum Annealing for Inequality-Constrained Binary Optimization Problems
Taisei Takabayashi, Takeru Goto, Masayuki Ohzeki
Quantum annealing is a generic solver for combinatorial optimization problems that utilizes quantum fluctuations. Recently, there has been extensive research applying quantum annea…
quant-ph2025
Online calibration scheme for training restricted Boltzmann machines with quantum annealing
Takeru Goto, Masayuki Ohzeki
We propose a scheme to calibrate the internal parameters of a quantum annealer to obtain well-approximated samples for training a restricted Boltzmann machine (RBM). Empirically, s…