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SQBM+ for AWS Learn & Development Plan

SQBM+ for AWS Learn & Development Plan

By: Toshiba Digital Solutions Corporation Latest Version: 2.0.1
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

2.0.1

Operating System

Linux/Unix, Red Hat Enterprise Linux 8

Delivery Methods

  • Amazon Machine Image

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