5 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…