SQBM+ for AWS Learn & Development Plan
Linux/Unix
Linux/Unix
Product Overview
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.
Version
2.0.2
Categories
Operating System
Linux/Unix, Red Hat Enterprise Linux 8
Delivery Methods