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Introduction

We conduct fundamental and applied research in quantum optimization. This includes fundamental research in quantum optimization hardware design, development of quantum optimization algorithms and software, and applied research in quantum optimization.

Achievements

■Quantum optimization
・Research Objective: Proposal and evaluation of quantum-classical hybrid algorithms for black-box optimization
- Title: Designing metamaterials with quantum annealing and factorization machines, Koki Kitai, Jiang Guo, Shenghong Ju, Shu Tanaka, Koji Tsuda, Junichiro Shiomi, Ryo Tamura (Physical Review Research) 2 ( 1 ) 013319 Mar. 2020
・Research Objective: Proposal and evaluation of quantum-classical hybrid algorithms combining column generation methods and Ising machines
- Title: Annealing-Assisted Column Generation for Inequality-Constrained Combinatorial Optimization Problems, Hiroshi Kanai, Masashi Yamashita, Kotaro Tanahashi, Shu Tanaka (IEEE Access) 12 2169 Oct. 2024
・Research Objective: Evaluation of physical properties of variable fixing in quantum annealing
- Title: Advantages of fixing spins in quantum annealing, Tomohiro Hattori, Hirotaka Irie, Tadashi Kadowaki, Shu Tanaka (Journal of the Physical Society of Japan) 94 ( 1 ) 013001 Jan. 2025

Areas of Research

・Combinatorial optimization problems
・Black-box optimization problems
・Quantum computer

Social Contributions

・By further advancing the quantum-classical hybrid algorithms constructed and evaluated in this research, it will be possible to efficiently solve optimization problems (such as black-box optimization in materials exploration) that are difficult to solve using conventional computational methods.
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