Sold by: TuringQ Co. Ltd.
Deployed on AWS
AWS Free Tier
Quantum-Inspired Hybrid Solver (QIH Solver) is good at quickly giving high-quality solutions to large-scale combinatorial optimization problems in the form of the Ising model or QUBO.
Overview
TuringQ Quantum-Inspired Hybrid Solver (QIH Solver) consists of a quantum-inspired optimization algorithm hybridized with several classical heuristics for complex combinatorial optimization problems. Through ingenious design, the TuringQ QIH Solver can automatically select appropriate algorithm parameters according to the characteristics of the problem and give a good enough solution in a short time.
In the era of noisy intermediate-scale quantum (NISQ), TuringQ QIH Solver provides an alternative for users willing to experience the advantages of quantum computing technology. With the maturity of hardware manufacturing technology, we are considering implementing core algorithms on quantum hardware. In this context, TuringQ QIH Solver may serve as a smooth transition to the era of quantum computing and help users gain more benefits from quantum computing technology.
TuringQ QIH Solver can be applied in transportation and logistics, job scheduling, financial technology, de novo drug design, and other fields where huge optimization problems demand fast solutions.
Highlights
- Fast calculation speed and high-quality solution. Compared with similar products, it can give better solutions.
- Easy to use and low equipment requirements. QIH Solver can analyze features and adjust parameters automatically. Only the python environment and CPU are needed.
- The larger the dimension, the greater the advantages. For a 15000-dimensional QUBO problem, traditional heuristics takes 2 hours, while TuringQ QIH Solver can get a better solution within 2 minutes.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.04
Deployed on AWS
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Financing for AWS Marketplace purchases
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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/hour |
|---|---|
c5.4xlarge Recommended | $0.00 |
t2.micro AWS Free Tier | $0.00 |
t3.micro AWS Free Tier | $0.00 |
t2.nano | $0.00 |
c5a.2xlarge | $0.00 |
t2.large | $0.00 |
c5ad.xlarge | $0.00 |
t2.2xlarge | $0.00 |
c4.large | $0.00 |
c5d.2xlarge | $0.00 |
Vendor refund policy
Free product with no refund
Legal
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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
v1.1.2 Initial Iteration Release
Additional details
Usage instructions
TuringQ Quantum Marketplace Solver Guide
Access the full solver experience: https://www.turingq.com/qihsolver
Activation command: turingq-qih-activate <activation_code>
Steps to Use:
-
Launch an EC2 Instance
- Recommended instance type: c5.4xlarge
- Use the provided AMI image
- Wait a few minutes after startup for the instance to be ready
-
Login to Your Instance
- ssh ubuntu@<instance_ip>
-
Navigate to the Main Directory
- cd qheuristic/
-
Upload Your Matrix File
- Place your matrix file in the qheuristic/ directory
-
Edit Your Python Script
- Refer to the provided example test.py
- Modify it to suit your own task
-
Run the Python Script
- python XX.py
-
Check the Results
- The output will be saved as a .txt file in the same directory
-
(Optional) Test the Environment
- Run the example test.py to verify your instance configuration
Resources
Vendor resources
Support
Vendor 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.
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