Developer Tools

Hardware-agnostic developer framework

To simplify the process of designing and executing quantum algorithms, you can use the Amazon Braket SDK. It has been designed to be technology agnostic, removing the need to code against quantum programming environments, which commonly exist for different quantum computers. The SDK supports a unified developer framework that enables you to build quantum algorithms and run them on any compatible quantum hardware provided through the Amazon Braket service. As new quantum technologies emerge and are added to the Amazon Braket service, you can be confident that your development experience will remain consistent and that your existing designs and quantum algorithms can be tested on these new systems.

Hybrid quantum computing with PennyLane

Hybrid quantum algorithms use an iterative approach, with quantum computers as co-processors to classical computing resources. This approach helps mitigate the effect of errors inherent in today's quantum computing hardware. To help you get started with hybrid algorithms, Amazon Braket supports PennyLane, an open source software framework built around the concept of quantum differentiable programming. This concept allows you to train quantum circuits in the same way that you would train a neural network to find solutions to computational problems in quantum chemistry, quantum machine learning, and optimization. Pennylane is performance-optimized for Amazon Braket and provides interfaces to familiar machine learning tools, including PyTorch and TensorFlow, to make training quantum circuits fast, easy, and intuitive.  

Fully managed Jupyter notebooks

You have the choice of using your own development environment or fully managed Jupyter notebooks in Amazon Braket to build your quantum algorithms and manage experiments. Amazon Braket makes it easy to create notebooks with a single click. You can select the notebook instance type to match your performance requirements and configure security settings such as encryption for stored data. Amazon Braket notebooks come pre-configured with a suite of quantum computing developer tools, including the Amazon Braket SDK, PennyLane, and Ocean, to help you get started quickly.

Pre-built algorithms and tutorials

Amazon Braket notebooks come pre-installed with the Amazon Braket SDK, tutorials and a selection of pre-built algorithms to give you everything you need to get started in a single place. Use them to familiarize yourself with the recommended steps to build and execute quantum algorithms using Amazon Braket. Learn more in the Amazon Braket documentation.


Choice of simulation tools

With Amazon Braket, you have a choice of three gate-based quantum circuit simulators to run and test quantum algorithms. These include: 1/ the local simulator that is included in the Amazon Braket SDK, 2/ the Amazon Braket SV1 managed simulator, and 3/ the Amazon Braket TN1 managed simulator. The local simulator and SV1 are general purpose quantum circuit simulators, whereas TN1 is only suitable for certain types of quantum circuits.

Consistent experience

You can run a circuit on Amazon Braket simulators with a single API call. A request to run your algorithm on a simulator works in the same way as a request to run on quantum hardware; by changing a single line of code, you can change from running on a simulator to an actual quantum computer.

Choice of result types

You can choose different result types for your simulation tasks, including individual samples, custom observables, individual amplitudes, or the full state vector. Amazon Braket simulators can calculate exact results, or return measurement samples emulating the behavior of quantum computers.

Quantum Computers

Simplified access to quantum computers

Amazon Braket provides secure access to a variety of quantum computing technologies. There is no upfront commitment or contract to sign, and you pay only for what you use through your AWS bill.

Choice of quantum processing units (QPUs)

Amazon Braket provides access to both annealing and gate-based quantum computers. Following the gate-based quantum computing paradigm, you can access trapped-ion technology from IonQ and superconducting quantum processors from Rigetti. Alternatively, you can solve quantum annealing problems using the latest QPUs from D-Wave. This helps you test different technologies, compare the compute performance of different machines for the problem that you are trying to solve, and choose the hardware system that is best suited to your application. Please visit the Hardware Providers page to learn more about the QPUs that are available on Amazon Braket. 

Expert Help

Amazon Quantum Solutions Lab

Today, quantum computing is still in its infancy, and there are still many unknowns and challenges to solve. The Amazon Quantum Solutions Lab can help. It is a collaborative research and professional services program staffed with quantum computing experts who can assist you to more effectively explore quantum computing and assess the current performance of this nascent technology. Additionally, you can work with our qualified technology and consulting partners in the AWS Partner Network (APN) that specialize in applications for quantum computing and can help you address your specific requirements. Please visit the Quantum Solutions lab webpage to get started.

Management and Security

Management console

As a native AWS service, Amazon Braket is accessible through the AWS management console, a centralized and easy to use web interface for Amazon Web Services, which provides you with a secure login using your AWS account or AWS Identity and Access Management (IAM) credentials. You can use the console to manage and monitor your Amazon Braket resources, such as notebooks and tasks, and access detailed information about quantum circuit simulators and QPUs.

User access management, security, and monitoring

Amazon Braket is integrated with AWS services such as Amazon CloudWatch, AWS CloudTrail, Amazon EventBridge, and AWS IAM to enable the monitoring of workloads, generate notifications when your tasks are completed, and manage access controls and permissions. Your simulation and quantum task results are delivered to your preferred Amazon S3 bucket for storage and analysis, giving you full control over your data.

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