https://store-images.s-microsoft.com/image/apps.32243.14bd2618-d283-4a94-9ae8-e81a36c26d67.68976d09-1bbb-4fb9-b9fb-1ca6b782df07.325e57a2-1eb9-48e9-bfa0-fdd0bd6c0bf5
SQBM+ for Azure Business Standard Plan
東芝デジタルソリューションズ株式会社 (本社)
SQBM+ for Azure Business Standard Plan
東芝デジタルソリューションズ株式会社 (本社)
SQBM+ for Azure Business Standard Plan
東芝デジタルソリューションズ株式会社 (本社)
A combinatorial optimization solver built on the quantum-inspired Simulated Bifurcation Algorithm.
SQBM+ is a set of solvers enabling users to quickly obtain nearly optimal solutions for large (e.g. millions of variables) combinatorial optimization problems, such as:
- Portfolio optimization and risk management in financial service - 3D protein structure prediction in drug discovery process
- Factory shift optimization in manufacturing or warehouse management
Key features:
- Quickly obtains good approximate solutions for large optimization problems (QUBO, QPLIB and PUBO).
- Suitable for QUBO problems with up to 10 million variables for the current version
- Easy to use. Complicated parameter setting is not required.
SQBM is developed based on the theory described in the following papers:
- Goto, H. et al. Combinatorial optimization by simulating adiabatic bifurcations in nonlinear Hamiltonian systems. Science Advances. 2019, 5, 4, eaav2372.
- Goto, H. et al. High-performance combinatorial optimization based on classical mechanics. Science Advances. 2021, 7, 6, eabe7953.