electronics-journal.com
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'23
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Toshiba News
TOSHIBA BRINGS SQBM+, ITS QUANTUM-INSPIRED OPTIMIZATION SOLUTION, TO AWS MARKETPLACE
SQBM+ is a quantum-inspired optimization solution based on the Simulated Bifurcation Machine (SBM) that is a combinatorial optimization solver utilizing the Simulated Bifurcation Algorithm (SB Algorithm) developed by Toshiba Corporation.
Toshiba Digital Solutions Corporation (TDSL), an industry leader in applying quantum-inspired solutions to complex real-world problems, announced the launch of "SQBM+ for AWS," a version of its SQBM+ software customized for the AWS Marketplace operated by Amazon Web Services, Inc. SQBM is an acronym for “Simulated Quantum-inspired Bifurcation Machine,” which means that it is derived from SBM that implement the SB Algorithm invented in the research process for quantum computers at Toshiba's R&D centers.
TDSL released a free, proof-of-concept (PoC) version of SBM on the AWS Marketplace in July 2019. Since then, working with universities, research institutions and other companies, TDSL has investigated real problems in combinatorial optimization, toward finding solutions to social issues in a range of fields.
Providing SQBM+ as a software module will allow customers who need to solve combinatorial optimization problems, in fields as diverse as finance, drug development, genetic engineering, logistics, and AI, to incorporate SQBM+ into their business applications and systems.
Features of “SQBM+ for AWS”
- SQBM+ for AWS is provided as an Amazon Machine Image (AMI). An AMI is a template containing a software configuration that is used to launch an instance—a copy of the AMI running as a virtual server in the AWS Cloud.
- SBM runs on a new algorithm that significantly improves speed, accuracy, and scale of use in the AWS Cloud.
- AWS Marketplace offers flexible pricing, and SQBM+ for AWS offers two versions and hourly and monthly options.
SQBM+ runs on current computers and discovers high-precision, approximate solutions (good solutions) to complex, large-scale problems in a short time. Going forward, TDSL will apply SQBM+ in many fields and contribute to solving complicated social issues.
