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AWS Braket Gets Better Support for Quantum-Classical Hybrid Workloads – TechCrunch

In 2019, AWS spear Brake, its quantum computing service which makes the hardware and software tools of its partners Rigetti, IonQ and D-Wave available in its cloud. Considering how quickly quantum computing is advancing, it may not be surprising that a lot has changed since then. Among other things, hybrid algorithms that use classical computers to optimize quantum algorithms – a process similar to the formation of machine learning models – have become a standard tool for developers. Today, AWS announcement Improved support for running these hybrid algorithms on Braket.

Previously, to run these algorithms, developers had to set up and manage the infrastructure to run the optimization algorithms on traditional machines, and then manage the integration with quantum computing hardware, in addition to the monitoring and visualization tools. to analyze the results.

Image credits: AWS

But that’s not all. “Another big challenge is that [Quantum Processing Units] are shared and inelastic resources, and you compete with others for access, ”says AWS’s Danilo Poccia in today’s announcement. “It can slow down the execution of your algorithm. A single large workload from another client can shut down the algorithm, potentially extending your total runtime for hours. This is not only annoying, but it also impacts the quality of the results as today’s QPUs need periodic recalibration, which can invalidate the progress of a hybrid algorithm. In the worst case, the algorithm fails, wasting time and money.

With the new Amazon Braket Hybrid Jobs feature, developers get a fully managed service that manages hardware and software interactions between classical and quantum machines – and developers will have priority access to quantum processing units to give them more predictability. . Braket will automatically launch the necessary resources (and close them when the job is done). Developers can define custom metrics for their algorithms and, using Amazon CloudWatch, they can visualize the results in near real time.

“As application developers, Braket Hybrid Jobs gives us the opportunity to explore the potential of hybrid variational algorithms with our customers,” said Vic Putz, Engineering Manager at QCWare. “We are excited to extend our integration with Amazon Braket and the ability to run our own proprietary algorithm libraries in custom containers means we can innovate quickly in a secure environment. Amazon Braket’s operational maturity and the convenience of priority access to different types of quantum hardware mean we can build this new capability into our stack with confidence. “