Sold by: Aqarios GmbHÂ
Deployed on AWS
AqAOA is a GPU-accelerated simulator for the Quantum Approximate Optimization Algorithm (QAOA) that provides fast, scalable simulations of quantum circuits with advanced optimization and seamless Python integration.
Overview
AqAOA is a high-performance simulator for the Quantum Approximate Optimization Algorithm (QAOA), specifically designed to run efficiently on modern GPU hardware, such as GPU-powered EC2 instances. It supports the simulation of large and complex quantum circuits and enables accurate computation of expectation values, fast sampling and direct access to state vectors. Its advanced support for gradient-based optimization makes it ideal for research in the field of variational quantum algorithms.
The simulator is designed with a seamless Python integration that allows users to easily construct, execute and analyze QAOA circuits within standard scientific workflows. AqAOA is well suited for combinatorial optimization problems.
This product is delivered as a pre-configured Amazon Machine Image (AMI) on AWS, allowing users to launch it directly on GPU-powered EC2 instances with minimal setup. Running on AWS provides flexible, on-demand computing capacity that is ideal for scaling quantum simulations and reducing experiment turnaround time.
Highlights
- GPU-Accelerated QAOA Circuit Simulation: AqAOA leverages the power of NVIDIA CUDA to efficiently simulate large and complex QAOA circuits, offering substantial speedups for statevector evolution, expectation value calculation, and sampling.
- Advanced Optimization and Simulation Capabilities: Includes efficient state-of-the-art gradient computation techniques, accelerating the optimization process for QAOA cost functions across complex problem instances.
- Python-Integrated and Cloud-Ready for Scalable Workflows: Seamlessly integrates into Python-based workflows and is deployable as a ready-to-use AMI on AWS, enabling fast and reproducible quantum simulations in the cloud.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.04 LTS
Deployed on AWS
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Features and programs
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 |
|---|---|
g4dn.xlarge Recommended | $0.00 |
g5.16xlarge | $0.00 |
g6.16xlarge | $0.00 |
g4dn.8xlarge | $0.00 |
g6e.8xlarge | $0.00 |
g5.xlarge | $0.00 |
g6.xlarge | $0.00 |
g6e.16xlarge | $0.00 |
g4dn.4xlarge | $0.00 |
g6e.4xlarge | $0.00 |
Vendor refund policy
No refunds
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
This is the initial release of AqAOA on AWS Marketplace. The product is delivered as a pre-configured Amazon Machine Image (AMI) optimized for deployment on GPU-enabled EC2 instances. It includes all necessary components to begin simulating QAOA circuits out-of-the-box.
Additional details
Usage instructions
Launch the AMI on a GPU-enabled EC2 instance, connect via SSH, and activate the preinstalled environment. Full setup instructions are available at: https://github.com/aqarios/aqaoa#usage-on-awsÂ
Support
Vendor support
For technical assistance with AqAOA, users are encouraged to submit issues directly through our GitHub repository at https://github.com/aqarios/aqaoa/issues . This is the primary and recommended method for reporting problems, requesting new features, or asking for help with installation and usage.
When submitting an issue, please include a clear description of the problem or question, along with any relevant details such as steps to reproduce the issue, error messages or logs, the type of AWS instance being used (for example, g4dn.xlarge), and the Python environment or version. Providing this information helps us respond more effectively and resolve your issue faster.
The development team monitors GitHub regularly and will respond as quickly as possible. While response times may vary depending on current support load, we strive to offer timely and helpful assistance.
Additional information, including setup instructions and usage guidance, can be found in the README and documentation on the GitHub page:
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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