10 citations · 19 across the 6 of their papers we have counts for
6 papers
Robust Wavelength Selection for Partial Least Squares Sugar Content Estimation Using Combinatorial Bayesian Optimization
Mitsunobu Kanebako, Ami S. Koshikawa, Masaru Hitomi +4
Wavelength selection is one of the important preprocessing methods in near-infrared spectroscopy to improve prediction accuracy and interpretability of spectral data. We formulate…
Improving search efficiency via adaptive acquisition function selection in discrete black-box optimization
Reo Shikanai, Masayuki Ohzeki
In discrete-variable black-box optimization, the number of candidate solutions grows combinatorially, while each evaluation is often expensive. Therefore, it is important to identi…
Accelerating Extended Benders Decomposition with Quantum-Classical Hybrid Solver
Takuma Yoshihara, Masayuki Ohzeki
We propose a quantum-classical hybrid method for solving large-scale mixed-integer quadratic problems (MIQP). Although extended Benders decomposition is effective for MIQP, its mas…
Phase transition in binary compressed sensing based on -norm minimization
Mikiya Doi, Masayuki Ohzeki
Compressed sensing is a signal processing scheme that reconstructs high-dimensional sparse signals from a limited number of observations. In recent years, various problems involvin…
Exploration of new chemical materials using black-box optimization with the D-wave quantum annealer
Mikiya Doi, Yoshihiro Nakao, Takuro Tanaka +2
In materials informatics, searching for chemical materials with desired properties is challenging due to the vastness of the chemical space. Moreover, the high cost of evaluating p…
Individual subject evaluated difficulty of adjustable mazes generated using quantum annealing
Yuto Ishikawa, Takuma Yoshihara, Keita Okamura +1
In this paper, the maze generation using quantum annealing is proposed. We reformulate a standard algorithm to generate a maze into a specific form of a quadratic unconstrained bin…