Tag: Hybrid Jobs

Today we look at how Citi Innovation Labs is exploring quantum computing for portfolio optimization in partnership with Classiq and AWS. Their research examines how adjustments to the QAOA algorithm’s penalty factor impact performance.

Today we’ll show you how to use a new python decorator from the Amazon Braket SDK to help algorithm researchers seamlessly execute local Python functions as an Amazon Braket Hybrid Job with just one extra line of code.

Today, we’re announcing improvements to the task-processing speed and our support for parametric compilation on QPUs from Rigetti Computing in Amazon Braket. This enables up to 10x faster runtime performance for algorithms that use Amazon Braket Hybrid Jobs.

Over 2800 developers from the PennyLane community got together during the virtual QHack event in February. Today we bring you some highlights and tell you about the winning projects.

Today, we launched a new feature in Amazon Braket Hybrid Jobs, which allows you to run hybrid workloads with simulators that are embedded with your algorithm code. For instance, one of the simulators available in this new feature is the PennyLane Lightning GPU simulator, accelerated by NVIDIA’s cuQuantum library. In this blog post, we show […]

In 2021, Amazon Braket, the fully-managed quantum computing service from AWS, launched Amazon Braket Hybrid Jobs to provide customers a convenient way to run hybrid algorithms without worrying about managing the underlying infrastructure. With features such as priority access to quantum processing units (QPUs), Amazon Braket Hybrid Jobs is designed for lower latency and faster […]

With so much happening at the annual re:Invent conference, it would be easy to miss some of the updates in AWS Quantum Technologies. In this post we summarize four recent announcements: a new feature that helps customers run hybrid quantum-classical algorithms more easily and with better performance, two new quantum processing units (QPUs) coming to […]