Deployed on AWS
Originated from research on quantum bifurcation machines, the SQBM+ is a practical and ready-to-use ISING machine that solves large-scale "combinatorial optimization problems" at high speed.
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.
Highlights
- Purely software-based, no special quantum hardware needed.
- Up to 100 times faster than competing classical and quantum-inspired solvers, depending on use cases.
- This plan is for your internal business operations, learning, evaluation, and development purposes only. Please refer to the End User Agreement for more details.
Details
Categories
Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Rhel 8
Deployed on AWS
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/unit |
|---|---|
computing time per second on p3.2xlarge | $0.50 |
computing time per second on p3.8xlarge (not supported–cannot be selected) | $2.00 |
computing time per second on p3.16xlarge, p3dn.24xlarge(not supported–cannot be selected) | $4.00 |
computing time per second on p4d.24xlarge | $10.00 |
computing time per second on p5.48xlarge | $15.00 |
computing time per second on g6e.4xlarge | $0.50 |
computing time per second on g6e.12xlarge | $1.50 |
Vendor refund policy
We do not currently support refunds, but you may terminate the instance at anytime to stop incurring charges.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA)Â .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Added support for the instance types g6e.4xlarge and g6e.12xlarge. Removed support for the instance types p3.8xlarge, p3.16xlarge and p3dn.24xlarge. For more details, please refer to the Release Notes.
Additional details
Usage instructions
Installation steps (1) Select the SQBM+ AMI and its associated instance type using the AWS console. (2) Set the security group. (3) Attach the IAM role with AWSMarketplaceMeteringFullAccess policy. (4) Launch the SQBM+ instance. Once the SQBM+ instance starts, SQBM+ calculation service will start automatically. For details, refer to the user manual.
Resources
Vendor resources
Support
Vendor support
Product homepage: https://www.toshiba-sol.co.jp/en/pro/sbm/index.htm ; Support policy: https://dfk66cqpwr4ko.cloudfront.net/Support_Policy-SQBM%2B_AWS_AMI_for_Marketplace.pdf ; Accepts general inquires: tdsl-ms-support@toshiba-sol.co.jpÂ
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Updated weekly
By Toshiba Digital Solutions Corporation
By D-Wave Commercial Inc.
By Quantiful
AI generated from product descriptions
Quantum Optimization Algorithm
Utilizes quantum bifurcation machine approach for solving large-scale combinatorial optimization problems
Problem Solving Capacity
Capable of handling optimization problems with up to 10 million variables
Computational Problem Types
Supports solving QUBO, QPLIB, and PUBO optimization problem formats
Computational Methodology
Simulates adiabatic bifurcations in nonlinear Hamiltonian systems for optimization solutions
Solver Performance
Provides near-optimal solutions for complex optimization challenges across multiple domains
Quantum Computing Architecture
4400+ qubit Advantage2 quantum computers using superconducting qubit technology
Hybrid Solver Capability
Quantum-classical hybrid solvers capable of processing problems with up to 2 million variables and 100,000 constraints
Developer Environment
Web-based integrated development environments with Python tools, open-source Ocean SDK, and practical coding examples
Computational Scale
Quantum systems supporting large-scale computational problems across optimization and artificial intelligence domains
Quantum Technology Type
Supports both annealing and gate-model quantum computing approaches
Machine Learning Algorithms
Advanced proprietary machine learning algorithms for predictive analytics and demand forecasting
Data Synthesis Capability
Synthesizes millions of data points from hundreds of sources to generate predictive insights
Granular Forecasting
Ability to predict future buying behavior and adjust forecasts at individual product (SKU) level
Predictive Analytics Platform
AI-powered technology that processes complex data to generate accurate sales and demand predictions
Cloud Infrastructure
Built on AWS cloud platform with scalable and secure computational capabilities
Standard contract
No
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