First unveiled last December, Amazon Braket is a fully managed AWS service that provides a single development environment to help customers explore and design quantum algorithms. With it, users can test and troubleshoot quantum algorithms on simulated quantum computers running on computing resources in AWS to help them verify their implementation.
When ready, says the company, customers can then run their algorithm on the quantum computer of their choice without having to engage multiple providers or committing to a single technology. Today, Amazon Braket customers can choose superconducting quantum annealers from D-Wave, trapped ion processors from IonQ, or superconducting quantum processors from Rigetti. Both simulated and quantum hardware jobs are managed through a unified development experience, and customers pay only for the compute resources used.
Currently, says the company, in order to make meaningful advances in quantum computing requires organizations to develop in-house expertise and seek out access to limited quantum hardware. Researchers who are interested in experimenting across a range of quantum hardware and technologies need to setup and manage the necessary infrastructure, negotiate access with multiple vendors, and write custom code to interface with different quantum processors.
Having access to quantum hardware and managed infrastructure would help enterprises evaluate how quantum computing may eventually impact their businesses so they can begin to build the necessary skills to explore new opportunities. Managed quantum infrastructure from a range of hardware providers would also help facilitate research and education in quantum technologies that may accelerate new breakthroughs and the quantum computers of the future.
Amazon Braket, says the company, helps overcome these challenges by enabling developers and researchers in academia and industry to explore and evaluate quantum computing using the same, consistent experience AWS offers its customers today. Amazon Braket lets customers get started quickly, using familiar tools like Jupyter notebooks to access pre-installed developer tools that can be used to design quantum algorithms, visualize results, and collaborate with others.