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    SQBM+ for AWS Business Standard Plan

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    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

    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    Rhel 8

    Deployed on AWS
    New

    Introducing multi-product solutions

    You can now purchase comprehensive solutions tailored to use cases and industries.

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    Features and programs

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    Financing for AWS Marketplace purchases

    Pricing

    SQBM+ for AWS Business Standard Plan

     Info
    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.

    Usage costs (7)

     Info
    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.

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    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) .

    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.

    Usage information

     Info

    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.

    Support

    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.

    Product comparison

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    Updated weekly
    By Toshiba Digital Solutions Corporation
    By D-Wave Commercial Inc.

    Accolades

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    Overview

     Info
    AI generated from product descriptions
    Combinatorial Optimization Problem Solving
    Solves large-scale combinatorial optimization problems including QUBO, QPLIB, and PUBO formulations with millions of variables.
    Scalability
    Supports QUBO problems with up to 10 million variables in the current version.
    Software-Based Architecture
    Operates as a purely software-based solution without requiring specialized quantum hardware.
    Performance Speed
    Delivers approximate solutions for large optimization problems at high computational speed.
    Quantum Processing Architecture
    4400+ qubit Advantage2 quantum computers utilizing superconducting qubit technology
    Hybrid Solver Capability
    Quantum-classical hybrid solvers capable of processing production-scale problems with up to 2 million variables and 100,000 constraints
    Cloud Access Model
    Real-time cloud-based access to quantum computing resources with enterprise-class performance and scalability
    Development Environment
    Web-based integrated developer environment with Python tools, D-Wave Ocean SDK, and practical coding examples
    Machine Learning Algorithms
    Proprietary machine learning algorithms combined with leading-edge AI technologies for demand forecasting
    Multi-Source Data Integration
    Synthesis of millions of data points from hundreds of sources to generate demand predictions
    Granular Forecast Capability
    Forecast adjustment capability at individual product level (SKU) based on predicted buying behavior
    Performance Visualization and Management
    SaaS-based interface for illustrating planning process, performance metrics, and exception management of forecasts
    ERP Integration
    Forecast release capability to enterprise resource planning systems after performance review

    Contract

     Info
    Standard contract
    No
    No

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